Source code for vibeqc.pbc_bipole_uks

"""BIPOLE-style periodic UKS driver in CRYSTAL's electrostatic gauge.

The open-shell DFT counterpart of :mod:`vibeqc.pbc_bipole_rks`.
Uses the same CRYSTAL-gauge Ewald J-split F^2e build for the Hartree
term and adds the spin-polarised libxc XC potential on the periodic
Becke grid. For hybrid functionals a fraction of HF exchange is
retained per spin channel via the native ``build_jk_2e_real_space``.

This driver keeps the same multi-k SCF scaffold as the UHF BIPOLE
driver: shared Ewald a across V_ne/E_nn/J^LR, analytic V_ne via
AO-pair Fourier transforms, real-space energy accounting, and
the maintained convergence accelerators (DIIS, MOM, level-shift schedule,
damping). The historical ODA hook fails closed.
"""

from __future__ import annotations

import warnings
from dataclasses import dataclass, field
from typing import List, Optional, Sequence, Tuple, Union

import numpy as np

from ._vibeqc_core import (
    apply_level_shift_k,
    BasisSet,
    BlochKMesh,
    EwaldOptions,
    Functional,
    GridOptions,
    InitialGuess,
    LatticeMatrixSet,
    LatticeSumOptions,
    LevelShiftDensity,
    PeriodicKSOptions,
    PeriodicSystem,
    SCFIteration,
    bloch_sum,
    build_grid,
    build_xc_periodic_uks,
    direct_lattice_cells,
    ewald_nuclear_repulsion,
    nuclear_repulsion_per_cell,
    real_space_density_from_kpoints_fractional,
)
from .bipole_ext_el_pole import compute_ext_el_spheropole
from .guess import initial_densities_open_shell, initial_density_closed_shell
from .level_shift_schedule import LevelShiftSchedule
from .mom import select_occupied_by_max_overlap as _mom_select
from .oda import compute_oda_lambda as _compute_oda_lambda
from .oda import oda_mix_densities as _oda_mix
from .pbc_bipole_common import (
    bipole_final_density_phase,
    unrestricted_occupations_per_spin,
    unrestricted_spin_density,
    unrestricted_split_k_density_list,
    PBCBipoleEnergyComponents,
    _bloch_sum_blocks,
    _bloch_sum_blocks_multi_k,
    _combine_density_sets,
    _compute_nuclear_lattice_ewald_reciprocal_ft,
    _copy_lattice_with_blocks,  # noqa: F401  (compat re-export, see tests/test_pbc_bipole_common.py)
    _crystal_ewald_options,
    _density_set_gamma_or_lattice,
    _emit_bipole_semantic_diagnostic,
    _expand_ibz_kmesh_for_ewald_j,
    _lattice_contract,
    _spin_occupations,
    _zero_cross_cell_density,
    bvk_torus_density_matrices,
    build_bipole_one_electron_lattice,
    prepare_bipole_lattice_options,
    raise_bipole_ewald_real_cutoff,
    reject_bipole_ecp_options,
    reject_bipole_fractional_legacy_gauge,
    reject_bipole_quartet_far_field,
    reject_bipole_lone_non_gamma_kpoint,
    reject_bipole_solver_options,
    reject_bipole_unsupported_ks_functional,
    unrestricted_bipole_commutator_norm,
    refresh_bipole_terminal_trace,
    resolve_fock_mixing,
    resolve_auto_fock_mixing,
    resolve_bipole_sr_image_extent,
    resolve_bipole_fock_symmetry,
    warn_bipole_charged_cell,
    warn_bipole_legacy_multik_gauge,
    home_cell_block,
    smearing_basin_warning,
)
from .pbc_bipole_fock import (
    BipoleFockContext,
    BipoleScreenedExchangeExecution,
    build_bipole_unrestricted_fock,
)
from .periodic_grid import build_periodic_becke_grid
from .periodic_rhf_multi_k_ewald import (
    _canonical_orthogonalizer_complex,
    _damp_lattice_matrix,
    _diag_in_orth_basis,
)
from .periodic_scf_accelerators import (
    DynamicDamping,
    MultiKPeriodicUHFAccelerator,
)
from .periodic_screened_exchange import resolve_periodic_exchange
from .progress import ProgressLogger, resolve_progress
from .scf_divergence import check_scf_divergence
from .smearing import (
    SmearingOptions,
)
from .smearing import (
    closed_shell_periodic_occupations as _closed_shell_periodic_occupations,
)

__all__ = [
    "PBCBipoleUKSResult",
    "run_pbc_bipole_uks",
]


[docs] @dataclass class PBCBipoleUKSResult: """Result of :func:`run_pbc_bipole_uks`.""" energy: float e_electronic: float e_nuclear: float e_xc: float e_coulomb: float e_hf_exchange: float n_iter: int converged: bool s_squared: float s_squared_ideal: float mo_energies_alpha: List[np.ndarray] mo_coeffs_alpha: List[np.ndarray] fock_alpha: List[np.ndarray] density_alpha: LatticeMatrixSet mo_energies_beta: List[np.ndarray] mo_coeffs_beta: List[np.ndarray] fock_beta: List[np.ndarray] density_beta: LatticeMatrixSet overlap: List[np.ndarray] hcore: List[np.ndarray] runtime_backend: str = "pbc-bipole" scf_trace: List[SCFIteration] = field(default_factory=list) e_ext_el_spheropole: Optional[float] = None ewald_alpha_bohr_inv: Optional[float] = None # Absolute internal ket-image radius used by an erfc SR build, if any. # The analytic-gradient preview uses this to reject domain mismatch. sr_image_extent_bohr: Optional[float] = None # True when the Fock build used the group-invariant pair-resolved domain. pair_resolved_fock_domain: bool = False # Dudarev DFT+U contribution per unit cell (Hartree). 0 unless the # caller passed ``dft_plus_u=[HubbardSite(...)]``. Sum of per-spin # contributions for the open-shell UKS path. e_dft_plus_u: float = 0.0 energy_components: List[PBCBipoleEnergyComponents] = field( default_factory=list, ) # Gauge provenance (option (b)): see run_pbc_bipole_uhf. exchange_ewald_split: bool = False exchange_exxdiv: Optional[str] = None # Non-None when finite-T smearing straddled the HOMO-LUMO gap and may # have selected a near-metallic basin (ionic-Γ basin trap). basin_warning: Optional[str] = None functional: str = "" # Smearing diagnostics (zero when smearing_temperature == 0). smearing_temperature: float = 0.0 fermi_level: float = 0.0 entropy: float = 0.0 free_energy: float = 0.0 occupations_alpha: List[np.ndarray] = field(default_factory=list) occupations_beta: List[np.ndarray] = field(default_factory=list) # Cartesian k-points (bohr^-1) and weights this result spans, in the # same order as the per-k, per-spin ``mo_coeffs_*`` / ``mo_energies_*`` # lists. Lets optional single-k output writers locate Gamma instead of # assuming the first k-point is Gamma. See PBCBipoleRHFResult. kpoints_cart: Optional[np.ndarray] = None kpoint_weights: Optional[np.ndarray] = None # Effective previous-Fock weight after the shared automatic default is # resolved. This can differ from ``options.fock_mixing``. fock_mixing: float = 0.0 screened_exchange_execution: Optional[ BipoleScreenedExchangeExecution ] = None # Corrected-gauge overlap-fold convergence diagnostic. Appended to # preserve the positional signature of the historical result fields. overlap_fold_drift: Optional[float] = None # BIPOLE-EXACT-ZONE increment 1b: radius (bohr) of the exact erfc # output zone when restricted below the operator cutoff (None = # exact zone == cutoff). Analytic-gradient consumers fail closed. exact_zone_bohr: Optional[float] = None # Fixed-Nalpha/Nbeta smearing solves one chemical potential per spin. # Appended to preserve positional compatibility; ``fermi_level`` remains # the historical singular alias. fermi_level_alpha: Optional[float] = None fermi_level_beta: Optional[float] = None
@dataclass class _PBCBipoleUKSFockBuild: """Internal Fock bundle for one UKS density pair.""" f2e_alpha_real: LatticeMatrixSet f2e_beta_real: LatticeMatrixSet f_alpha_k_list: List[np.ndarray] f_beta_k_list: List[np.ndarray] e_j_short_range: Optional[float] = None e_j_long_range: Optional[float] = None e_exchange: Optional[float] = None e_j_multipole: Optional[float] = None # k-space per-spin exchange correction (Ewald exchange split, # a_HF-scaled); lives in F_s(k) -- caller adds to E_2e. e_2e_k_correction: float = 0.0 # The q+G=0 (Madelung / exxdiv='ewald') share of e_2e_k_correction on # its own, so the gauge is visible next to the total (#82). e_exchange_finite_size: Optional[float] = None # XC energy of the SAME grid quadrature whose per-spin V_xc entered # f_alpha/beta_k_list (None for the HF-like PATOM seed build). # Consuming this instead of re-running build_xc_periodic_uks keeps # the iteration's V_xc and e_xc from one build. e_xc: Optional[float] = None screened_exchange_execution: Optional[ BipoleScreenedExchangeExecution ] = None
[docs] def run_pbc_bipole_uks( system: PeriodicSystem, basis: BasisSet, kmesh: BlochKMesh, options=None, *, functional: Optional[str] = None, linear_dep_threshold: float = 1e-7, fock_mixing: Optional[float] = None, canonical_orth_normalize_diag_first: bool = True, level_shift_schedule: Optional[LevelShiftSchedule] = None, use_mom: bool = False, use_oda: bool = False, oda_trust_lambda_max: float = 1.0, use_incremental_fock: bool = True, use_ewald_j_split: Optional[bool] = None, ewald_omega: Optional[float] = None, ewald_precision: float = 1e-8, v_ne_grid_options: Optional[GridOptions] = None, use_multipole_far_field: Optional[bool] = False, use_exchange_ewald_split: Optional[bool] = None, exchange_exxdiv: str = "ewald", multipole_l_max: int = 2, use_fock_symmetry: Optional[bool] = None, use_fock_symmetry_reduce: Optional[bool] = None, sr_image_precision: Optional[float] = 1e-6, sr_image_extent_bohr: Optional[float] = None, exact_zone_bohr: Optional[float] = None, progress: Union[bool, ProgressLogger, None] = None, verbose: Optional[int] = None, bz_integration: Optional[str] = None, init_alpha: Optional[Sequence[np.ndarray]] = None, init_beta: Optional[Sequence[np.ndarray]] = None, dft_plus_u: Optional[List["HubbardSite"]] = None, ) -> PBCBipoleUKSResult: """Multi-k open-shell UKS via the CRYSTAL-gauge BIPOLE scaffold. ``fock_mixing`` overrides ``options.fock_mixing`` when supplied and is forwarded through both phases of a spin schedule without rewriting the caller's options field. A resolved zero can still activate the documented DIIS-off KS automatic value. ``sr_image_precision`` / ``sr_image_extent_bohr`` and the automatic ``use_fock_symmetry_reduce=None`` policy match :func:`run_pbc_bipole_rhf`. Spin-schedule recursion forwards all three controls unchanged. ``bz_integration="gilat"`` applies the T=0 Gilat-Raubenheimer microcell integral independently to the fixed alpha and beta populations on full or symmetry-reduced Monkhorst-Pack meshes. It has zero entropy and cannot be combined with a positive ``options.smearing_temperature``. ``dft_plus_u``: optional list of :class:`HubbardSite`. Same per-spin per-k convention as :func:`run_pbc_bipole_uhf` -- ``F_s(k) += S(k) V_AO_s S(k)`` with ``V_AO_s = U_eff (1/2 - n_s)``; ``E_U_total`` is summed over spins and surfaced via ``result.e_dft_plus_u``. """ reject_bipole_quartet_far_field( use_multipole_far_field, driver="run_pbc_bipole_uks", ) reject_bipole_lone_non_gamma_kpoint( kmesh, driver="run_pbc_bipole_uks", ) from ._vibeqc_core import PeriodicKSOptions as _PKSOpts opts = options if options is not None else _PKSOpts() reject_bipole_ecp_options( opts, driver="run_pbc_bipole_uks", basis=basis, system=system, ) reject_bipole_solver_options(opts, driver="run_pbc_bipole_uks") if int(opts.max_iter) < 1: raise ValueError("run_pbc_bipole_uks: max_iter must be at least 1") if use_oda: raise NotImplementedError( "run_pbc_bipole_uks: unrestricted ODA is unavailable because " "the current line search does not include the beta-spin energy " "direction; use DIIS instead" ) requested_fock_mixing = resolve_fock_mixing( opts, fock_mixing, where="run_pbc_bipole_uks", ) # SPINLOCK. SPIN_SCHEDULE (two-phase) is delegated before SCF setup; # PATTERN_HOLD reuses the per-k MOM machinery below (gated to the # spinlock window). from ._vibeqc_core import SpinlockMode from .spinlock_periodic import check_spinlock_support, run_spin_schedule _initial_guess = getattr(opts, "initial_guess", InitialGuess.HCORE) _broken_state_symmetry_controls = [] if getattr(opts, "atomic_spins", None): _broken_state_symmetry_controls.append("atomic_spins") if bool(use_mom): _broken_state_symmetry_controls.append("use_mom") if getattr(opts, "spinlock_mode", SpinlockMode.OFF) != SpinlockMode.OFF: _broken_state_symmetry_controls.append("spinlock") if bool(dft_plus_u): _broken_state_symmetry_controls.append("dft_plus_u") if init_alpha is not None or init_beta is not None: _broken_state_symmetry_controls.append("initial spin density") if _initial_guess in (InitialGuess.READ, InitialGuess.PATOM): _broken_state_symmetry_controls.append(_initial_guess.name.lower()) if ( bool(use_fock_symmetry) or use_fock_symmetry_reduce is True ) and _broken_state_symmetry_controls: raise NotImplementedError( "run_pbc_bipole_uks: explicit Fock symmetry enforcement or " "reduction cannot be combined with an electronically broken or " "unverified state control (" + ", ".join(_broken_state_symmetry_controls) + "). Disable Fock symmetry, or remove the state-selective " "control and opt in only for a symmetry-covariant density." ) _spin_schedule_requested = ( getattr(opts, "spinlock_mode", SpinlockMode.OFF) == SpinlockMode.SPIN_SCHEDULE and int(getattr(opts, "spinlock_iterations", 0)) > 0 ) if _spin_schedule_requested: _schedule_ir = np.asarray( getattr(kmesh, "ir_mapping", []), dtype=int ).reshape(-1) _schedule_true_multik = ( len(list(kmesh.kpoints)) > 1 or _schedule_ir.size > 1 or int( np.prod(np.asarray(getattr(kmesh, "mesh", (1, 1, 1)))) ) > 1 ) if _schedule_true_multik: raise NotImplementedError( "run_pbc_bipole_uks: SPIN_SCHEDULE is Gamma-only. Its " "phase-2 restart currently carries only the home-cell spin " "densities and cannot reconstruct a complete multi-k state. " "Use PATTERN_HOLD or a Gamma mesh." ) return run_spin_schedule( lambda sysx, o: run_pbc_bipole_uks( sysx, basis, kmesh, o, functional=functional, linear_dep_threshold=linear_dep_threshold, fock_mixing=requested_fock_mixing, canonical_orth_normalize_diag_first=canonical_orth_normalize_diag_first, level_shift_schedule=level_shift_schedule, use_mom=use_mom, use_oda=use_oda, oda_trust_lambda_max=oda_trust_lambda_max, use_incremental_fock=use_incremental_fock, use_ewald_j_split=use_ewald_j_split, ewald_omega=ewald_omega, ewald_precision=ewald_precision, v_ne_grid_options=v_ne_grid_options, use_multipole_far_field=use_multipole_far_field, use_exchange_ewald_split=use_exchange_ewald_split, exchange_exxdiv=exchange_exxdiv, multipole_l_max=multipole_l_max, use_fock_symmetry=use_fock_symmetry, use_fock_symmetry_reduce=use_fock_symmetry_reduce, sr_image_precision=sr_image_precision, sr_image_extent_bohr=sr_image_extent_bohr, exact_zone_bohr=exact_zone_bohr, progress=progress, verbose=verbose, bz_integration=bz_integration, dft_plus_u=dft_plus_u, ), system, opts, ) check_spinlock_support( opts, {SpinlockMode.PATTERN_HOLD, SpinlockMode.SPIN_SCHEDULE}, "the BIPOLE UKS driver", ) if functional is not None: opts.functional = str(functional) if not getattr(opts, "functional", None): opts.functional = "pbe" smearing_T = float(getattr(opts, "smearing_temperature", 0.0)) if smearing_T < 0.0: raise ValueError("run_pbc_bipole_uks: smearing_temperature must be >= 0") if bz_integration is not None: bz_integration = str(bz_integration).strip().lower() if bz_integration not in (None, "smearing", "gilat"): raise ValueError( "run_pbc_bipole_uks: bz_integration must be None, 'smearing', " f"or 'gilat'; got {bz_integration!r}" ) use_gilat = bz_integration == "gilat" if use_gilat and smearing_T > 0.0: raise ValueError( "run_pbc_bipole_uks: bz_integration='gilat' is a T=0 " "integrator; do not combine it with smearing_temperature > 0" ) use_fractional_density = (smearing_T > 0.0) or use_gilat func = Functional(opts.functional, 2) # spin-polarised reject_bipole_unsupported_ks_functional( func, driver="run_pbc_bipole_uks", ) # CAM exchange assembly (see run_pbc_bipole_rks): alpha_hf is the # FULL-RANGE arm only; screened hybrids (hse06, c_full = 0) get # their erfc short-range K inside build_bipole_unrestricted_fock # (no seam, no far-field); LR-heavy RSH fails closed here. exx = resolve_periodic_exchange(func, where="run_pbc_bipole_uks") alpha_hf = float(exx.c_full) # CRYSTAL-style auto-FMIXING: fires only for DFT without DIIS. # Validated on the closed-shell twin (RKS Gap-B run matrix, # 2026-07-13); the shared Fock builder makes the damping behaviour # spin-independent. See resolve_auto_fock_mixing. fock_mixing_value = resolve_auto_fock_mixing( requested_fock_mixing, alpha_hf=alpha_hf, use_diis=bool(opts.use_diis), where="run_pbc_bipole_uks", ) lat_opts: LatticeSumOptions = opts.lattice_opts plog = resolve_progress(progress, verbose=verbose) ( use_ewald_j_split, use_ewald_j_split_auto, lat_opts_2e, lat_opts_1e, ) = prepare_bipole_lattice_options(system, lat_opts, use_ewald_j_split, plog) n_elec = int(system.n_electrons()) n_alpha, n_beta = _spin_occupations(system) # ``_spin_occupations`` promotes the default multiplicity on an odd- # electron periodic cell to the minimum valid open shell without mutating # the caller's system. Report the multiplicity of that executed state. mult = int(n_alpha - n_beta + 1) # Open-shell guard moved after auto-disable resolution below. plog.info( f"PBC BIPOLE UKS (CRYSTAL-gauge) / cutoff {lat_opts.cutoff_bohr:.2f} bohr" ) if exx.is_screened: plog.info( f" functional = {opts.functional}, screened exchange " f"K = {exx.c_sr:g}*K_erfc(omega={exx.omega_screen:g} bohr^-1)" ) else: plog.info( f" functional = {opts.functional}, hf_exchange_fraction = {alpha_hf}" ) plog.info(f" n_alpha = {n_alpha}, n_beta = {n_beta}, multiplicity = {mult}") _kmesh_ibz = kmesh _ir_mapping = np.asarray(getattr(kmesh, "ir_mapping", []), dtype=int).reshape(-1) k_points = list(_kmesh_ibz.kpoints) weights = np.asarray(_kmesh_ibz.weights, dtype=float) _input_true_multik = ( len(k_points) > 1 or _ir_mapping.size > 1 or int(np.prod(np.asarray(getattr(kmesh, "mesh", (1, 1, 1))))) > 1 ) if use_ewald_j_split and _ir_mapping.size > 0: # IBZ inputs run on the EXPANDED full mesh (correctness: the # IBZ-native replication shortcut lacked the star AO rotations # D(R.k) = P(R).D(k).P(R)ᵀ and broke non-trivial crystals -- MgO # probe 2026-06-10, 8.25 Ha. See vibeqc.periodic_k_symmetry for # the transport groundwork and pbc_bipole.py for the full note). kmesh_full = _expand_ibz_kmesh_for_ewald_j(system, kmesh, plog) if len(list(kmesh_full.kpoints)) > len(k_points): kmesh = kmesh_full k_points = list(kmesh.kpoints) weights = np.asarray(kmesh.weights, dtype=float) _ir_mapping = np.asarray([], dtype=int) k_points_full = k_points weights_full = weights else: k_points_full = k_points weights_full = weights n_k = len(k_points) if n_k == 0: raise ValueError("kmesh has no k-points") if not np.isclose(weights.sum(), 1.0): raise ValueError(f"kmesh.weights must sum to 1; got {weights.sum():.6f}") if ( _input_true_multik and init_alpha is None and init_beta is None and getattr(opts, "initial_guess", InitialGuess.HCORE) == InitialGuess.READ ): raise NotImplementedError( "run_pbc_bipole_uks: multi-k READ requires explicit complete " "real-space init_alpha/init_beta block sets; Gamma-only read " "densities cannot reconstruct the per-k state." ) if use_ewald_j_split and n_k > 1 and _ir_mapping.size == 0: uniform_w = 1.0 / float(n_k) if not np.allclose(weights, uniform_w, atol=1e-9): raise ValueError( "use_ewald_j_split at multi-k requires uniform weights or IBZ mesh" ) plog.info(f"k-mesh: {n_k} k-points, weights sum = {weights.sum():.4f}") # ---- Exchange/gauge resolution (option (b) Phase 4b, 2026-06-11) -- # Mirrors run_pbc_bipole_uhf: per-spin exchange split at 3D Γ, # alpha_HF-scaled for hybrids; pure functionals get the gauge change # only (no exchange machinery). if exchange_exxdiv not in ("ewald", "none"): raise ValueError( f"run_pbc_bipole_uks: exchange_exxdiv must be 'ewald' or " f"'none'; got {exchange_exxdiv!r}" ) _x_split_auto = use_exchange_ewald_split is None exchange_split_active = ( bool(use_ewald_j_split) if _x_split_auto else bool(use_exchange_ewald_split) ) if exchange_split_active and not use_ewald_j_split: raise ValueError( "run_pbc_bipole_uks: use_exchange_ewald_split=True requires " "the Ewald J split (use_ewald_j_split=True)." ) # Multi-k split (option (b) Phase 3): needs the true Monkhorst- # Pack dimensions (q-channel tables, BvK-torus fold, supercell # Madelung); ad-hoc k-lists are rejected. _bvk_mesh: Optional[Tuple[int, int, int]] = None if exchange_split_active and n_k > 1: _mesh_attr = tuple(int(x) for x in getattr(kmesh, "mesh", (1, 1, 1))) if int(np.prod(_mesh_attr)) != n_k: if _x_split_auto: plog.info( " multi-k corrected exchange gauge needs a " "Monkhorst-Pack mesh (BvK-torus fold + supercell ξ_M); " "this ad-hoc k-list has no mesh metadata -> falling back " "to the legacy gauge. Pass a monkhorst_pack(...) mesh " "for the corrected gauge." ) exchange_split_active = False else: raise ValueError( "run_pbc_bipole_uks: the Ewald exchange split at multi-k " "requires a Monkhorst-Pack BlochKMesh carrying its mesh " f"dimensions (got mesh={_mesh_attr} for {n_k} k-points). " "Build the mesh via monkhorst_pack(...); ad-hoc k-point " "lists are not supported on the corrected gauge." ) else: _bvk_mesh = _mesh_attr reject_bipole_fractional_legacy_gauge( use_ewald_j_split=bool(use_ewald_j_split), exchange_split_active=exchange_split_active, fractional_occupations=use_fractional_density, driver="run_pbc_bipole_uks", ) _ff_enable: Optional[bool] = False warn_bipole_legacy_multik_gauge(system, exchange_split_active, n_k, plog) warn_bipole_charged_cell(system, plog) _xi_madelung = 0.0 if exchange_split_active and exchange_exxdiv == "ewald" and alpha_hf > 0.0: if n_k > 1: from .bipole_fock_ewald import probe_charge_madelung_supercell assert _bvk_mesh is not None _xi_madelung = probe_charge_madelung_supercell(system, _bvk_mesh) else: from .bipole_fock_ewald import probe_charge_madelung _xi_madelung = probe_charge_madelung(system) overlap_fold_drift: Optional[float] = None if exchange_split_active: plog.info( " Gauge: corrected (full Bloch density, no spheropole" + ( f"; per-spin exchange split exxdiv={exchange_exxdiv}, " f"alpha_HF={alpha_hf:g}" if alpha_hf > 0.0 else "; pure functional" ) + ")" ) # Shared Ewald state ewald_options_1e = None omega_used = None ewald_cell_volume = None ewald_k_max: Optional[float] = None if system.dim == 3: from .bipole_ext_el_pole import ( crystal_default_ewald_alpha, crystal_ewald_reciprocal_cutoff, ) V_cell = float(abs(np.linalg.det(np.asarray(system.lattice, dtype=float)))) ewald_cell_volume = V_cell omega_used = ( float(ewald_omega) if ewald_omega is not None else crystal_default_ewald_alpha(V_cell) ) ewald_k_max = crystal_ewald_reciprocal_cutoff(V_cell) # #478: the pinned alpha = 2.8/V^(1/3) makes erfc(alpha.R) at the # nearest image an L-INDEPENDENT 7.5e-5, so the 1e nuclear/Ewald # real-space sum must be sized from alpha, not from the AO cutoff. raise_bipole_ewald_real_cutoff( system, lat_opts_1e, omega_used, float(ewald_precision), plog, ) ewald_options_1e = _crystal_ewald_options( lat_opts_1e, alpha_bohr_inv=omega_used, tolerance=float(ewald_precision), recip_cutoff_bohr_inv=ewald_k_max, ) # Match the restricted driver: one padded ket-image ball converges the # Ewald J and screened-exchange erfc kernels, so the smaller omega owns # the radius. _sr_domain_omega = ( min(float(omega_used), float(exx.omega_screen)) if exx.is_screened and omega_used is not None else omega_used ) _sr_image_extent = resolve_bipole_sr_image_extent( basis, system, lat_opts, lat_opts_2e, _sr_domain_omega, use_ewald_j_split=bool(use_ewald_j_split), sr_image_precision=sr_image_precision, sr_image_extent_bohr=sr_image_extent_bohr, plog=plog, ) # DFT grid if getattr(opts, "use_periodic_becke", False): grid = build_periodic_becke_grid( system, grid_options=opts.grid, image_radius_bohr=float(getattr(opts, "becke_image_radius_bohr", 10.0)), ) else: grid = build_grid(system.unit_cell_molecule(), opts.grid) # One-electron integrals with plog.stage( "integrals_lattice", detail=f"S/T/V at cutoff {lat_opts.cutoff_bohr:.2f} bohr" ): S_lat, T_lat, V_lat, v_ne_lr_cache = build_bipole_one_electron_lattice( basis, system, lat_opts_1e, lat_opts_2e, ewald_options_1e, ewald_precision, ewald_k_max, v_ne_grid_options, plog, sym_log_style="rich", ) cells = list(S_lat.cells) # SYM3b Fock-symmetry resolution -- before the density-list decision # (pair-resolved mode widens the density support; see # run_pbc_bipole_rhf). # A requested exact zone is not composable with the SYM3b reduced / # pair-resolved output domains yet (increment 1): let an AUTO # reduction yield to the explicit zone request; an explicit # use_fock_symmetry_reduce=True still reaches the resolver's # fail-closed raise below. _reduce_request = use_fock_symmetry_reduce if exact_zone_bohr is not None and _reduce_request is None: _reduce_request = False _fock_sym_map, _rep_cell_indices = resolve_bipole_fock_symmetry( system, basis, lat_opts_2e, use_fock_symmetry, _reduce_request, plog, per_spin=True, exchange_split_active=exchange_split_active, # Structural symmetry alone does not prove that an unrestricted # electronic state is symmetry-covariant. Keep AUTO off for UKS; # explicit reduction remains an opt-in after the guard above. auto_reduce_safe=False, ) _pair_mode = _fock_sym_map is not None and getattr( _fock_sym_map, "pair_resolved", False ) from .pbc_bipole_common import resolve_bipole_exact_zone _exact_zone = resolve_bipole_exact_zone( system, lat_opts_2e, exact_zone_bohr, exchange_split_active=exchange_split_active, sr_image_extent=_sr_image_extent, pair_mode=_pair_mode, rep_cell_indices=_rep_cell_indices, plog=plog, ) # ---- Lattice-fold convergence guard (gauge-independent) ------------- # Shared guard (enforce_bipole_fold_support); hoisted above the gauge # condition 2026-08-06. The wide density list below remains # corrected-gauge-only. from .pbc_bipole_common import enforce_bipole_fold_support overlap_fold_drift = enforce_bipole_fold_support( basis, system, lat_opts_2e, method="uks", n_k=n_k, k_points=(k_points if n_k > 1 else None), exchange_split_active=exchange_split_active, plog=plog, ) if exchange_split_active: if _pair_mode: # M3: pair-resolved density support (see run_pbc_bipole_rhf). cells_density = list(_fock_sym_map.density_domain.cells) plog.info( f" density cell list: {len(cells_density)} cells " f"(pair-resolved support at 2x cutoff; SR-masked privately)" ) else: cells_density = list( direct_lattice_cells( system, 2.0 * float(lat_opts_2e.cutoff_bohr) ) ) plog.info( f" density cell list: {len(cells_density)} cells (2x cutoff)" ) else: cells_density = cells # Per-k matrices from .linear_dependence import scf_preflight_overlap_check S_k_list = [] Hcore_k_list = [] X_k_list = [] for k_idx, k in enumerate(k_points): k_arr = np.asarray(k, dtype=float).reshape(3) S_k = np.asarray(bloch_sum(S_lat, k_arr)) T_k = np.asarray(bloch_sum(T_lat, k_arr)) V_k = np.asarray(bloch_sum(V_lat, k_arr)) H_k = T_k + V_k S_k = 0.5 * (S_k + S_k.conj().T) H_k = 0.5 * (H_k + H_k.conj().T) scf_preflight_overlap_check(S_k, plog=plog, label=f"S(k={k_idx})", basis=basis) X_k, n_kept = _canonical_orthogonalizer_complex( S_k, linear_dep_threshold, normalize_diag_first=canonical_orth_normalize_diag_first, ) if max(n_alpha, n_beta) > n_kept: raise RuntimeError( f"run_pbc_bipole_uks: canonical orth at k={k_idx} dropped too many directions" ) S_k_list.append(S_k) Hcore_k_list.append(H_k) X_k_list.append(X_k) # Nuclear repulsion e_nuc = ( float(ewald_nuclear_repulsion(system, ewald_options_1e)) if ewald_options_1e is not None else float(nuclear_repulsion_per_cell(system, lat_opts_1e)) ) # Initial guess C_alpha_per_k = [] eps_alpha_per_k = [] C_beta_per_k = [] eps_beta_per_k = [] for H_k, X_k in zip(Hcore_k_list, X_k_list): C_a, eps_a = _diag_in_orth_basis(H_k, X_k) C_b, eps_b = _diag_in_orth_basis(H_k, X_k) C_alpha_per_k.append(C_a.astype(complex)) eps_alpha_per_k.append(eps_a) C_beta_per_k.append(C_b.astype(complex)) eps_beta_per_k.append(eps_b) def _spin_density(C_per_k_local, n_occ_each): return unrestricted_spin_density( C_per_k_local, n_occ_each, n_k=n_k, kmesh=kmesh, cells_density=cells_density, exchange_split_active=exchange_split_active, ) D_alpha_real = _spin_density(C_alpha_per_k, n_alpha) D_beta_real = _spin_density(C_beta_per_k, n_beta) # --- Smearing occupation helpers (open-shell: per-spin mu) --- from .smearing.fermi_dirac import fermi_dirac_occupations_per_k as _fd_per_k def _occupations_per_spin(eps_spin_per_k, n_spin): return unrestricted_occupations_per_spin( eps_spin_per_k, n_spin, smearing_T=smearing_T, weights=weights, system=system, kmesh=kmesh, bz_integration=bz_integration, ) occ_alpha_per_k, mu_alpha, entropy_alpha = _occupations_per_spin( eps_alpha_per_k, n_alpha ) occ_beta_per_k, mu_beta, entropy_beta = _occupations_per_spin( eps_beta_per_k, n_beta ) entropy = entropy_alpha + entropy_beta if use_fractional_density: D_alpha_real = real_space_density_from_kpoints_fractional( C_alpha_per_k, occ_alpha_per_k, kmesh, cells_density ) D_beta_real = real_space_density_from_kpoints_fractional( C_beta_per_k, occ_beta_per_k, kmesh, cells_density ) if not exchange_split_active: _zero_cross_cell_density(D_alpha_real, D_alpha_real.blocks[0].shape[0], n_k) _zero_cross_cell_density(D_beta_real, D_beta_real.blocks[0].shape[0], n_k) # Caller-supplied warm-start spin densities take precedence over # the SAD/Hcore guess engine -- see run_pbc_bipole_uhf for the # same contract. Used by the NEB driver for within-image density # warm-start for periodic NEB. if (init_alpha is not None) != (init_beta is not None): raise ValueError( "run_pbc_bipole_uks: init_alpha and init_beta must be " "provided together (both None or both populated)" ) if init_alpha is not None and init_beta is not None: blocks_a = list(init_alpha) blocks_b = list(init_beta) if len(blocks_a) != len(D_alpha_real.cells): raise ValueError( f"run_pbc_bipole_uks: init_alpha has {len(blocks_a)} " f"blocks; expected {len(D_alpha_real.cells)}" ) if len(blocks_b) != len(D_beta_real.cells): raise ValueError( f"run_pbc_bipole_uks: init_beta has {len(blocks_b)} " f"blocks; expected {len(D_beta_real.cells)}" ) for g_idx, (ba, bb) in enumerate(zip(blocks_a, blocks_b)): D_alpha_real.set_block(g_idx, np.asarray(ba, dtype=float)) D_beta_real.set_block(g_idx, np.asarray(bb, dtype=float)) initial_density_is_local = True density_from_c_per_k = False else: guess = getattr(opts, "initial_guess", InitialGuess.HCORE) # ATOMSPIN: see pbc_bipole_uhf -- when a per-atom spin pattern is # requested it must reach the open-shell engine, not the even-electron # closed-shell shortcut (which would wash it out to a 50/50 split). _atomic_spins = getattr(opts, "atomic_spins", None) or None # READ carries the prior's per-spin g=0 densities -- skip the # even-electron 50/50 shortcut for READ too (see pbc_bipole_uhf). _is_read = guess == InitialGuess.READ _needs_open_context = guess in { InitialGuess.SAP, InitialGuess.PATOM, InitialGuess.HUECKEL, InitialGuess.MINAO, } _patom_seed_pending = guess == InitialGuess.PATOM D_guess = None if ( n_elec % 2 == 0 and _atomic_spins is None and not _is_read and not _needs_open_context ): D_total_guess = initial_density_closed_shell( system.unit_cell_molecule(), basis, n_elec // 2, guess, is_periodic=True ) if D_total_guess is not None: D_guess = ( 0.5 * np.asarray(D_total_guess, dtype=float), 0.5 * np.asarray(D_total_guess, dtype=float), ) if D_guess is None: _seed_guess = InitialGuess.SAD if _patom_seed_pending else guess D_guess = initial_densities_open_shell( system.unit_cell_molecule(), basis, n_alpha, n_beta, _seed_guess, is_periodic=True, periodic_system=system, lattice_opts=lat_opts, atomic_spins=_atomic_spins, read_density_alpha=getattr(opts, "read_density_alpha", None), read_density_beta=getattr(opts, "read_density_beta", None), read_path=getattr(opts, "read_path", ""), ) initial_density_is_local = D_guess is not None if D_guess is not None: D_a0, D_b0 = D_guess # Multi-k must start from one internally consistent Bloch fold. # Mixing GuessEngine g=0 with Hcore g!=0 is non-idempotent and # produces the same iteration-2 Fock overshoot already diagnosed # in the RKS implementation. Keep the full per-k Hcore fold for # ordinary SAD/SAP/etc. Deliberately local ATOMSPIN and PATOM # seeds remain # installed at g=0 with zero cross-cell blocks: ATOMSPIN preserves # the requested broken symmetry, while PATOM must feed its SAD # seed into the one in-field Fock step below. A per-k projected # form of either seed is not implemented yet. if n_k > 1: if _atomic_spins is None and not _patom_seed_pending: plog.info( f"initial guess: {guess.name} (multi-k: retaining " "the complete per-k Hcore fold for consistent " "cross-cell XC density)" ) initial_density_is_local = False else: seed_label = ( "PATOM SAD" if _patom_seed_pending else "ATOMSPIN" ) plog.info( f"initial guess: {guess.name} (multi-k {seed_label}: " "local g=0 seed)" ) zero_a = np.zeros_like(D_a0, dtype=float) zero_b = np.zeros_like(D_b0, dtype=float) for g_idx in range(len(D_alpha_real.cells)): is_g0 = ( np.asarray( D_alpha_real.cells[g_idx].index, dtype=int ) == np.array([0, 0, 0]) ).all() D_alpha_real.set_block( g_idx, D_a0 if is_g0 else zero_a ) D_beta_real.set_block( g_idx, D_b0 if is_g0 else zero_b ) else: zero_a = np.zeros_like(D_a0, dtype=float) zero_b = np.zeros_like(D_b0, dtype=float) for g_idx in range(len(D_alpha_real.cells)): is_g0 = ( np.asarray(D_alpha_real.cells[g_idx].index, dtype=int) == np.array([0, 0, 0]) ).all() D_alpha_real.set_block(g_idx, D_a0 if is_g0 else zero_a) D_beta_real.set_block(g_idx, D_b0 if is_g0 else zero_b) density_from_c_per_k = not initial_density_is_local if init_alpha is not None and init_beta is not None: _patom_seed_pending = False D_alpha_prev = None D_beta_prev = None # SCF aids damping = float(opts.damping) if not (0.0 <= damping < 1.0): raise ValueError( f"run_pbc_bipole_uks: damping must be in [0,1); got {damping}" ) damper: Optional[DynamicDamping] = None if bool(getattr(opts, "dynamic_damping", False)): damper = DynamicDamping( initial_alpha=damping, alpha_min=float(getattr(opts, "dynamic_damping_min", 0.0)), alpha_max=float(getattr(opts, "dynamic_damping_max", 0.95)), ) use_diis = bool(opts.use_diis) diis_start_iter = int(opts.diis_start_iter) accel: Optional[MultiKPeriodicUHFAccelerator] = ( MultiKPeriodicUHFAccelerator(opts) if use_diis else None ) level_shift_static = float(getattr(opts, "level_shift", 0.0)) if level_shift_schedule is not None and not isinstance( level_shift_schedule, LevelShiftSchedule ): raise TypeError(f"level_shift_schedule must be LevelShiftSchedule") # CRYSTAL-style FMIXING (per-spin, per-k). # Value resolved above in the options setup; log it here near the # SCF-loop preamble. if fock_mixing_value != 0.0: plog.info( f"fock mixing: CRYSTAL FMIXING " f"{100.0 * fock_mixing_value:.1f}% " "(previous Fock matrix weight)" ) F_alpha_prev_mixed: Optional[List[np.ndarray]] = None F_beta_prev_mixed: Optional[List[np.ndarray]] = None # SPINLOCK PATTERN_HOLD reuses the per-k MOM machinery (gated to cycles # 2..spinlock_iterations) to hold the seeded broken-symmetry occupied set # then release -- protecting an ATOMSPIN seed. _spinlock_pattern_hold = ( getattr(opts, "spinlock_mode", SpinlockMode.OFF) == SpinlockMode.PATTERN_HOLD and int(getattr(opts, "spinlock_iterations", 0)) > 0 ) _spinlock_iters = int(getattr(opts, "spinlock_iterations", 0)) if use_mom: plog.info("MOM: ON") elif _spinlock_pattern_hold: plog.info(f"SPINLOCK PATTERN_HOLD: MOM-hold for {_spinlock_iters} cycles") C_prev_occ_alpha_per_k = None C_prev_occ_beta_per_k = None if use_oda and use_diis: raise ValueError("use_oda and use_diis are mutually exclusive") if use_oda: plog.info(f"ODA: ON (trust lambda_max = {oda_trust_lambda_max})") # Ewald J-split cache j_lr_cache = v_ne_lr_cache if use_ewald_j_split: if system.dim != 3: raise ValueError(f"use_ewald_j_split requires dim=3") from .bipole_fock_ewald import _build_j_long_range_cache assert omega_used is not None if _pair_mode: # M3: J^LR blocks on the pair-resolved output template # (dedicated cache; never the radial V_ne one). j_lr_cache = _build_j_long_range_cache( basis, system, np.array( [ np.asarray(c.r_cart, dtype=float) for c in _fock_sym_map.cells ], dtype=float, ), omega_used, ewald_precision, K_max=ewald_k_max, ) elif j_lr_cache is None: cells_r_cart_arr = np.array( [np.asarray(c.r_cart, dtype=float) for c in cells], dtype=float ) j_lr_cache = _build_j_long_range_cache( basis, system, cells_r_cart_arr, omega_used, ewald_precision, K_max=ewald_k_max, ) # Multi-k split: per-(k,k′) q-channel tables for the per-spin LR # exchange (hybrids only). Shares the J^LR w/K_max envelope. x_lr_cache = None if exchange_split_active and n_k > 1 and (alpha_hf > 0.0 or _patom_seed_pending): from .bipole_fock_ewald import build_k_exchange_long_range_cache assert j_lr_cache is not None and ewald_k_max is not None x_lr_cache = build_k_exchange_long_range_cache( basis, system, j_lr_cache, K_max=ewald_k_max, ) plog.info( f" K^LR q-channels: {n_k} distinct q = k-k′ shifts on the " f"shared K_max = {ewald_k_max:.2f} bohr⁻¹ envelope " f"(per spin, a_HF = {alpha_hf:g})" ) def _split_k_density_list(density) -> List[np.ndarray]: return unrestricted_split_k_density_list( density, n_k=n_k, k_points=k_points, bvk_mesh=_bvk_mesh ) # Incremental/differential J_SR(+K_SR) accumulators (opt-in; see # run_pbc_bipole_rhf). Hybrids build per-spin J_SR+K_SR (two # accumulators on D_a/D_b); pure functionals build J_SR on the total # density (one accumulator). Corrected gauge + DIIS only. incremental_jk_alpha = None incremental_jk_beta = None incremental_jk_total = None if use_incremental_fock: if exchange_split_active and not use_oda: from .bipole_fock_ewald import IncrementalJK if alpha_hf > 0.0: incremental_jk_alpha = IncrementalJK() incremental_jk_beta = IncrementalJK() else: incremental_jk_total = IncrementalJK() plog.info( " incremental Fock (differential J_SR/K_SR via ΔD " "density-envelope screening): ON" ) else: plog.info( " incremental Fock requested but inactive " "(needs the corrected gauge + DIIS, not ODA)" ) # (M2d) The UKS two-electron Fock assembly is routed through # pbc_bipole_fock.build_bipole_unrestricted_fock; the thin wrapper # below (defined after multipole + SYM3b resolution) adds the # per-spin V_xc and assembles F(k) in the driver. # ---- Multipole far-field config (resolve once before SCF loop) ----- from .bipole_fock_multipole import ( # noqa: E402 BipoleMultipoleConfig, resolve_multipole_config, ) _mp_config = resolve_multipole_config( system, basis, lat_opts_2e, user_enable=_ff_enable, multipole_l_max=multipole_l_max, ) if _mp_config.enabled: plog.info( f" BIPOLE multipole far-field: ENABLED " f"(L_max={_mp_config.L_max}, R_bipole={_mp_config.R_bipole:.1f} bohr, " f"n_cells={len(_mp_config.cache.cells) if _mp_config.cache else 0})" ) else: plog.info( f" BIPOLE multipole far-field: off " f"(R_bipole={_mp_config.R_bipole:.1f} bohr, " f"cutoff={lat_opts_2e.cutoff_bohr:.1f} bohr)" ) # SYM3b reduction is automatic for attached-symmetry crystals on the # corrected split; explicit choices were resolved before the density list. # ---- Disabled PDR 1988 Ch. II.4c quartet-prototype infrastructure ---- from .bipole_far_field_infrastructure import ( build_bipolar_far_field_infrastructure, ) _spherical_buffer, _penetration_dispatch_j, _penetration_dispatch_k, _tensor_cache, _fock_kernel, _sym_recon = ( build_bipolar_far_field_infrastructure( system, basis, lat_opts_2e, use_multipole_far_field=( (_ff_enable if _ff_enable is not None else False) and exchange_split_active ), exchange_split_active=exchange_split_active, multipole_l_max=multipole_l_max, ewald_omega=omega_used if use_ewald_j_split else 0.0, plog=plog, ) ) # ---- Shared unrestricted Fock-build context (M2d unification) -------- # Bundle the per-run invariants the inline UKS Fock build captured. # Placed after multipole and symmetry resolution, before the PATOM # in-field step and SCF loop first call the wrapper. _fock_ctx = BipoleFockContext( basis=basis, system=system, lat_opts_2e=lat_opts_2e, use_ewald_j_split=use_ewald_j_split, exchange_split_active=exchange_split_active, n_k=n_k, omega_used=omega_used, ewald_precision=ewald_precision, ewald_cell_volume=ewald_cell_volume, n_elec=n_elec, xi_madelung=_xi_madelung, j_lr_cache=j_lr_cache, x_lr_cache=x_lr_cache, incremental_jk=None, rep_cell_indices=_rep_cell_indices, fock_sym_map=_fock_sym_map, mp_config=_mp_config, spherical_moment_buffer=_spherical_buffer, penetration_dispatch_j=_penetration_dispatch_j, penetration_dispatch_k=_penetration_dispatch_k, quartet_tensor_cache=_tensor_cache, far_field_fock_kernel=_fock_kernel, symmetry_reconstruction_map=_sym_recon, s_lat=S_lat, s_k_list=S_k_list, k_points=k_points, weights=weights, k_points_full=k_points_full, weights_full=weights_full, ir_mapping=_ir_mapping, bvk_mesh=_bvk_mesh, n_occ=n_alpha, plog=plog, sr_image_extent=_sr_image_extent, exact_zone_bohr=_exact_zone, ) def _build_fock_for_density( D_alpha, D_beta, *, coeffs_alpha_for_rho, coeffs_beta_for_rho, use_incremental=True, patom_hf_like=False, ): fb = build_bipole_unrestricted_fock( _fock_ctx, D_alpha, D_beta, n_alpha=n_alpha, n_beta=n_beta, coeffs_alpha_for_rho=coeffs_alpha_for_rho, coeffs_beta_for_rho=coeffs_beta_for_rho, incremental_jk_alpha=incremental_jk_alpha, incremental_jk_beta=incremental_jk_beta, incremental_jk_total=incremental_jk_total, use_incremental=use_incremental, alpha_hf=alpha_hf, exchange_assembly=exx, patom_hf_like=patom_hf_like, use_reduced_j_only=True, ) # XC potential -- open-shell UKS API: per-spin V_xc(g) + total # E_xc. PATOM is an HF-like in-field seed, independent of the # target functional, so skip XC for that one pre-SCF Fock build. xc_result = None if not patom_hf_like: D_xc_alpha = _density_set_gamma_or_lattice(S_lat, D_alpha) D_xc_beta = _density_set_gamma_or_lattice(S_lat, D_beta) xc_result = build_xc_periodic_uks( basis, system, grid, func, D_xc_alpha, D_xc_beta, lat_opts_2e ) # Per-k Fock: F_s(k) = F^2e_s(k) + V_xc,s(k) + Hcore(k) − # K_corr,s(k), hermitised after V_xc so a non-Hermitian Bloch # sum is symmetrised exactly as the pre-M2d inline build did. f_alpha_k_list = [] f_beta_k_list = [] F_a_2e_all = _bloch_sum_blocks_multi_k( fb.f2e_alpha_real.blocks, fb.f2e_alpha_real.cells, k_points ) F_b_2e_all = _bloch_sum_blocks_multi_k( fb.f2e_beta_real.blocks, fb.f2e_beta_real.cells, k_points ) for k_idx, k in enumerate(k_points): k_arr = np.asarray(k, dtype=float) F_a_2e = F_a_2e_all[k_idx] F_b_2e = F_b_2e_all[k_idx] if xc_result is None: Vxc_a_k = 0.0 Vxc_b_k = 0.0 else: Vxc_a_k = np.asarray(bloch_sum(xc_result.V_alpha, k_arr)) Vxc_b_k = np.asarray(bloch_sum(xc_result.V_beta, k_arr)) F_a = F_a_2e + Vxc_a_k + np.asarray(Hcore_k_list[k_idx], dtype=complex) F_b = F_b_2e + Vxc_b_k + np.asarray(Hcore_k_list[k_idx], dtype=complex) if fb.k_corr_alpha_per_k is not None: # Per-spin Ewald exchange split: one matrix per k (a # single Γ entry at n_k = 1). F_a = F_a - fb.k_corr_alpha_per_k[k_idx] F_b = F_b - fb.k_corr_beta_per_k[k_idx] f_alpha_k_list.append(0.5 * (F_a + F_a.conj().T)) f_beta_k_list.append(0.5 * (F_b + F_b.conj().T)) return _PBCBipoleUKSFockBuild( f2e_alpha_real=fb.f2e_alpha_real, f2e_beta_real=fb.f2e_beta_real, f_alpha_k_list=f_alpha_k_list, f_beta_k_list=f_beta_k_list, e_j_short_range=fb.e_j_short_range, e_j_long_range=fb.e_j_long_range, e_exchange=fb.e_exchange, e_j_multipole=fb.e_j_multipole, e_2e_k_correction=fb.e_2e_k_correction, e_exchange_finite_size=fb.e_exchange_finite_size, e_xc=(None if xc_result is None else float(xc_result.e_xc)), screened_exchange_execution=fb.screened_exchange_execution, ) if _patom_seed_pending: plog.info("initial guess: PATOM (SAD + one BIPOLE in-field step)") patom_fock = _build_fock_for_density( D_alpha_real, D_beta_real, coeffs_alpha_for_rho=None, coeffs_beta_for_rho=None, use_incremental=False, patom_hf_like=True, ) C_alpha_per_k = [] eps_alpha_per_k = [] C_beta_per_k = [] eps_beta_per_k = [] for idx in range(n_k): C_a, eps_a = _diag_in_orth_basis( patom_fock.f_alpha_k_list[idx], X_k_list[idx], ) C_b, eps_b = _diag_in_orth_basis( patom_fock.f_beta_k_list[idx], X_k_list[idx], ) C_alpha_per_k.append(C_a) eps_alpha_per_k.append(eps_a) C_beta_per_k.append(C_b) eps_beta_per_k.append(eps_b) occ_alpha_per_k, mu_alpha, entropy_alpha = _occupations_per_spin( eps_alpha_per_k, n_alpha ) occ_beta_per_k, mu_beta, entropy_beta = _occupations_per_spin( eps_beta_per_k, n_beta ) entropy = entropy_alpha + entropy_beta if use_fractional_density: D_alpha_real = real_space_density_from_kpoints_fractional( C_alpha_per_k, occ_alpha_per_k, kmesh, cells_density ) D_beta_real = real_space_density_from_kpoints_fractional( C_beta_per_k, occ_beta_per_k, kmesh, cells_density ) if not exchange_split_active: _zero_cross_cell_density( D_alpha_real, D_alpha_real.blocks[0].shape[0], n_k ) _zero_cross_cell_density( D_beta_real, D_beta_real.blocks[0].shape[0], n_k ) else: D_alpha_real = _spin_density(C_alpha_per_k, n_alpha) D_beta_real = _spin_density(C_beta_per_k, n_beta) D_alpha_prev = None D_beta_prev = None initial_density_is_local = False density_from_c_per_k = True plog.banner("SCF (PBC BIPOLE UKS, direct-space)") plog.info(" iter energy (Ha) dE ||[F,DS]|| DIIS") # ---- DFT+U setup (Increment 4d-bipole, UKS) ------------------------- dft_plus_u_sites_cxx: List = [] dft_plus_u_ao_groups: List[List[int]] = [] if dft_plus_u: from ._vibeqc_core import _HubbardSiteCxx from .dft_plus_u import ao_group_indices ao_groups_map = ao_group_indices(basis) for site in dft_plus_u: key = (site.atom_index, site.l) if key not in ao_groups_map: raise ValueError( f"run_pbc_bipole_uks: HubbardSite{key} has no AOs " f"in the basis. Available channels: " f"{sorted(ao_groups_map.keys())}" ) dft_plus_u_sites_cxx.append( _HubbardSiteCxx(site.atom_index, site.l, site.U_eff_hartree) ) dft_plus_u_ao_groups.append(ao_groups_map[key]) def _apply_dft_plus_u( density_alpha: LatticeMatrixSet, density_beta: LatticeMatrixSet, fock_alpha_k: List[np.ndarray], fock_beta_k: List[np.ndarray], ) -> float: """Apply spin-resolved +U to the density used for this Fock.""" if not dft_plus_u_sites_cxx: return 0.0 from ._vibeqc_core import _compute_dft_plus_u_multi_k_per_spin_cxx if exchange_split_active: Pa_k_all = _split_k_density_list(density_alpha) Pb_k_all = _split_k_density_list(density_beta) else: Pa_k_all = _bloch_sum_blocks_multi_k( density_alpha.blocks, density_alpha.cells, k_points ) Pb_k_all = _bloch_sum_blocks_multi_k( density_beta.blocks, density_beta.cells, k_points ) P_alpha_k_for_u = [ 0.5 * (P_k + P_k.conj().T) for P_k in Pa_k_all ] P_beta_k_for_u = [ 0.5 * (P_k + P_k.conj().T) for P_k in Pb_k_all ] e_alpha, v_alpha = _compute_dft_plus_u_multi_k_per_spin_cxx( dft_plus_u_sites_cxx, dft_plus_u_ao_groups, S_k_list, P_alpha_k_for_u, list(weights), ) e_beta, v_beta = _compute_dft_plus_u_multi_k_per_spin_cxx( dft_plus_u_sites_cxx, dft_plus_u_ao_groups, S_k_list, P_beta_k_for_u, list(weights), ) v_alpha = np.asarray(v_alpha, dtype=complex) v_beta = np.asarray(v_beta, dtype=complex) for k_idx, S_k in enumerate(S_k_list): fock_a = fock_alpha_k[k_idx] + S_k @ v_alpha @ S_k fock_b = fock_beta_k[k_idx] + S_k @ v_beta @ S_k fock_alpha_k[k_idx] = 0.5 * (fock_a + fock_a.conj().T) fock_beta_k[k_idx] = 0.5 * (fock_b + fock_b.conj().T) return float(e_alpha) + float(e_beta) scf_trace = [] energy_components = [] E_prev = 0.0 E_elec = 0.0 e_xc = 0.0 e_dft_plus_u = 0.0 F_alpha_k_list = [np.zeros_like(H) for H in Hcore_k_list] F_beta_k_list = [np.zeros_like(H) for H in Hcore_k_list] converged = False iter_idx = 0 #: Exact rebuild from the convergence confirmation (IID 514); reused by #: the post-loop finalisation so healthy rows pay nothing extra. _confirm_fb: Optional[_PBCBipoleUKSFockBuild] = None for iter_idx in range(1, int(opts.max_iter) + 1): if damper is not None: damping = damper.alpha # SPINLOCK PATTERN_HOLD: the accelerator (DIIS / EDIIS / ADIIS / # KDIIS -- whatever MultiKPeriodicUHFAccelerator resolved) is # suspended (no history recorded, no extrapolation, damping stays # live) while the hold is active. Fock extrapolation across # held-window iterates steers the SCF toward the symmetric attractor # by continuous orbital rotation -- a collapse the # occupation-selecting MOM hold cannot see -- and poisons the # post-release history with out-of-basin iterates. The history # starts fresh at release. hold_active = _spinlock_pattern_hold and iter_idx <= _spinlock_iters diis_active = ( use_diis and iter_idx >= diis_start_iter and not hold_active ) if iter_idx > 1 and damping > 0.0 and not diis_active: D_alpha_used = _damp_lattice_matrix(D_alpha_real, D_alpha_prev, damping) D_beta_used = _damp_lattice_matrix(D_beta_real, D_beta_prev, damping) else: D_alpha_used = D_alpha_real D_beta_used = D_beta_real d_used_is_damped = iter_idx > 1 and damping > 0.0 and not diis_active d_used_from_coeffs = ( density_from_c_per_k and not (initial_density_is_local and iter_idx == 1) and not d_used_is_damped ) fock_build = _build_fock_for_density( D_alpha_used, D_beta_used, coeffs_alpha_for_rho=(C_alpha_per_k if d_used_from_coeffs else None), coeffs_beta_for_rho=(C_beta_per_k if d_used_from_coeffs else None), ) F_alpha_k_list = fock_build.f_alpha_k_list F_beta_k_list = fock_build.f_beta_k_list # ---- DFT+U: per-spin per-k Fock contribution ----------------- # Apply the energy and potential to the same density used by the # base Fock builder. The converged-density rebuild below uses this # helper again so the returned energy/Fock/density remain one state. e_dft_plus_u = _apply_dft_plus_u( D_alpha_used, D_beta_used, F_alpha_k_list, F_beta_k_list, ) # XC energy: from the SAME quadrature that produced this # iteration's per-spin V_xc (inside _build_fock_for_density on # D_alpha_used/D_beta_used) -- the loop used to run a second, # redundant build_xc_periodic_uks here every iteration just to # extract e_xc. assert fock_build.e_xc is not None e_xc = float(fock_build.e_xc) # Energy D_total_used = _combine_density_sets( basis, system, lat_opts_2e, D_alpha_used, D_beta_used ) E_kin = _lattice_contract(D_total_used, T_lat, operator_name="T") E_ne = _lattice_contract(D_total_used, V_lat, operator_name="V_ne") E_2e = fock_build.e_2e_k_correction + 0.5 * ( _lattice_contract( D_alpha_used, fock_build.f2e_alpha_real, operator_name="F2e_alpha" ) + _lattice_contract( D_beta_used, fock_build.f2e_beta_real, operator_name="F2e_beta" ) ) E_elec = E_kin + E_ne + E_2e + e_xc # Gradient grad_norm_sum = 0.0 error_alpha_k_list = [] error_beta_k_list = [] D_alpha_k_list = [] D_beta_k_list = [] D_k_split_guess_a: Optional[List[np.ndarray]] = None D_k_split_guess_b: Optional[List[np.ndarray]] = None if exchange_split_active and initial_density_is_local and iter_idx == 1: # BvK representatives (home block at Γ; exact torus fold at # multi-k) for local AND wide warm-start storage. D_k_split_guess_a = _split_k_density_list(D_alpha_used) D_k_split_guess_b = _split_k_density_list(D_beta_used) D_k_guess_fold_a: Optional[List[np.ndarray]] = None D_k_guess_fold_b: Optional[List[np.ndarray]] = None if ( initial_density_is_local and iter_idx == 1 and (D_k_split_guess_a is None or D_k_split_guess_b is None) ): D_k_guess_fold_a = _bloch_sum_blocks_multi_k( D_alpha_used.blocks, D_alpha_used.cells, k_points ) D_k_guess_fold_b = _bloch_sum_blocks_multi_k( D_beta_used.blocks, D_beta_used.cells, k_points ) for idx in range(n_k): if initial_density_is_local and iter_idx == 1: if D_k_split_guess_a is not None and D_k_split_guess_b is not None: D_a_k = D_k_split_guess_a[idx] D_b_k = D_k_split_guess_b[idx] else: assert D_k_guess_fold_a is not None assert D_k_guess_fold_b is not None D_a_k = D_k_guess_fold_a[idx] D_b_k = D_k_guess_fold_b[idx] D_a_k = 0.5 * (D_a_k + D_a_k.conj().T) D_b_k = 0.5 * (D_b_k + D_b_k.conj().T) else: C_a = C_alpha_per_k[idx] C_b = C_beta_per_k[idx] if not use_fractional_density: C_a_occ = C_a[:, :n_alpha] if n_alpha > 0 else C_a[:, :0] C_b_occ = C_b[:, :n_beta] if n_beta > 0 else C_b[:, :0] D_a_k = C_a_occ @ C_a_occ.conj().T D_b_k = C_b_occ @ C_b_occ.conj().T else: # Fractional-occupation per-spin density occ_a = np.asarray(occ_alpha_per_k[idx], dtype=float) occ_b = np.asarray(occ_beta_per_k[idx], dtype=float) C_a_full = np.asarray(C_a, dtype=np.complex128) C_b_full = np.asarray(C_b, dtype=np.complex128) D_a_k = (C_a_full * occ_a[None, :]) @ C_a_full.conj().T D_b_k = (C_b_full * occ_b[None, :]) @ C_b_full.conj().T D_alpha_k_list.append(D_a_k) D_beta_k_list.append(D_b_k) S_k = S_k_list[idx] F_a_k = F_alpha_k_list[idx] F_b_k = F_beta_k_list[idx] err_a = F_a_k @ D_a_k @ S_k - (F_a_k @ D_a_k @ S_k).conj().T err_b = F_b_k @ D_b_k @ S_k - (F_b_k @ D_b_k @ S_k).conj().T error_alpha_k_list.append(err_a) error_beta_k_list.append(err_b) grad_norm_sum += float(weights[idx]) * float( np.sqrt(np.linalg.norm(err_a) ** 2 + np.linalg.norm(err_b) ** 2) ) E_total = float(E_elec) + e_nuc + e_dft_plus_u # EXT EL-SPHEROPOLE -- uses total (alpha+beta) density. D_total_used = _combine_density_sets( basis, system, lat_opts_2e, D_alpha_used, D_beta_used ) # EXT EL-SPHEROPOLE -- a 3D-Ewald-gauge correction, identically # zero in the direct (non-Ewald) gauge used for dim<3. if system.dim == 3 and not exchange_split_active: E_sphero = compute_ext_el_spheropole(D_total_used, basis, system, lat_opts) E_total += E_sphero else: E_sphero = None free_energy = E_total - smearing_T * entropy dE = free_energy - E_prev if iter_idx > 1 else 0.0 check_scf_divergence( "run_pbc_bipole_uks", iter_idx, free_energy, grad_norm_sum, dE ) diis_sub = max( accel.subspace_size if accel is not None else 0, accel.subspace_size if accel is not None else 0, ) scf_trace.append( SCFIteration( iter=iter_idx, energy=float(free_energy), delta_e=float(dE), grad_norm=float(grad_norm_sum), diis_subspace=diis_sub, ) ) plog.iteration( iter_idx, energy=float(free_energy), dE=float(dE), grad=float(grad_norm_sum), diis=diis_sub, ) energy_components.append( PBCBipoleEnergyComponents( iter=int(iter_idx), e_total=float(E_total), e_electronic=float(E_elec), e_kinetic=float(E_kin), e_nuclear_attraction=float(E_ne), e_two_electron=float(E_2e), e_nuclear_repulsion=float(e_nuc), e_bielet_zone_ee=(None if use_ewald_j_split else float(E_2e)), e_j_short_range=fock_build.e_j_short_range, e_j_long_range=fock_build.e_j_long_range, e_exchange=fock_build.e_exchange, e_exchange_finite_size=fock_build.e_exchange_finite_size, e_ext_el_spheropole=E_sphero, e_dft_plus_u=float(e_dft_plus_u), ) ) plog.energy_decomposition( iter_idx, E_kin=float(E_kin), E_ne=float(E_ne), E_2e=float(E_2e), E_elec=float(E_elec), E_nuc=float(e_nuc), ) converged = ( iter_idx > 1 and abs(dE) < float(opts.conv_tol_energy) and grad_norm_sum < float(opts.conv_tol_grad) ) # SCF-accelerator extrapolation. Skipped entirely (not even # recorded) while the PATTERN_HOLD window is active; see the # hold_active note at the loop head. if accel is not None and not hold_active: if exchange_split_active: # Unprojected Bloch fold: BvK representatives per k # (home block at Γ; exact torus fold at multi-k). # Mirrors the RHF accelerator fold; only the bridged # EDIIS/ADIIS modes consume these densities. density_alpha_k_list = _split_k_density_list(D_alpha_used) density_beta_k_list = _split_k_density_list(D_beta_used) else: density_alpha_k_list = _bloch_sum_blocks_multi_k( D_alpha_used.blocks, D_alpha_used.cells, k_points, ) density_beta_k_list = _bloch_sum_blocks_multi_k( D_beta_used.blocks, D_beta_used.cells, k_points, ) F_a_ex, F_b_ex = accel.extrapolate_uhf( F_alpha_k_list, F_beta_k_list, error_alpha_k_list=error_alpha_k_list, error_beta_k_list=error_beta_k_list, density_alpha_k_list=density_alpha_k_list, density_beta_k_list=density_beta_k_list, energy=free_energy, mo_coeffs_alpha_k_list=C_alpha_per_k, mo_coeffs_beta_k_list=C_beta_per_k, n_alpha=n_alpha, n_beta=n_beta, weights=list(weights), cells=cells, kpoints=list(k_points), ) # On the converged iteration, diagonalise the *physical* Fock # F(D) -- not the extrapolated one -- so the final orbitals/ # density stay on the converged fixed point. A near-machine- # zero DIIS error history (SCF nailing the solution in one # step) makes the Pulay B-matrix singular and its extrapolated # Fock garbage. See the RHF twin in pbc_bipole.py and # tests/test_pbc_bipole_diis_converged_basin.py. if diis_active and not converged: F_alpha_k_list = F_a_ex F_beta_k_list = F_b_ex # --- FMIXING (per-spin, per-k, after DIIS, before level-shift) # Skipped on the converged iteration (see DIIS note above). if fock_mixing_value != 0.0 and not converged: if F_alpha_prev_mixed is not None: for spin_list, prev_list in [ (F_alpha_k_list, F_alpha_prev_mixed), (F_beta_k_list, F_beta_prev_mixed), ]: for idx in range(n_k): F_mixed = (1.0 - fock_mixing_value) * spin_list[ idx ] + fock_mixing_value * prev_list[idx] spin_list[idx] = 0.5 * (F_mixed + F_mixed.conj().T) F_alpha_prev_mixed = [ np.asarray(F, dtype=complex).copy() for F in F_alpha_k_list ] F_beta_prev_mixed = [ np.asarray(F, dtype=complex).copy() for F in F_beta_k_list ] # Level shift if level_shift_schedule is not None: level_shift_b = level_shift_schedule.at(iter_idx) else: level_shift_b = level_shift_static if level_shift_b != 0.0 and not converged: F_alpha_for_diag = [] F_beta_for_diag = [] for idx in range(n_k): S_k = S_k_list[idx] D_a_k = D_alpha_k_list[idx] D_b_k = D_beta_k_list[idx] F_a_shift = apply_level_shift_k( F_alpha_k_list[idx], S_k, D_a_k, level_shift_b, LevelShiftDensity.SPIN, ) F_b_shift = apply_level_shift_k( F_beta_k_list[idx], S_k, D_b_k, level_shift_b, LevelShiftDensity.SPIN, ) F_alpha_for_diag.append(0.5 * (F_a_shift + F_a_shift.conj().T)) F_beta_for_diag.append(0.5 * (F_b_shift + F_b_shift.conj().T)) else: F_alpha_for_diag = F_alpha_k_list F_beta_for_diag = F_beta_k_list # Diagonalise new_C_alpha = [] new_eps_alpha = [] new_C_beta = [] new_eps_beta = [] for idx in range(n_k): C_a, eps_a = _diag_in_orth_basis(F_alpha_for_diag[idx], X_k_list[idx]) C_b, eps_b = _diag_in_orth_basis(F_beta_for_diag[idx], X_k_list[idx]) new_C_alpha.append(C_a) new_eps_alpha.append(eps_a) new_C_beta.append(C_b) new_eps_beta.append(eps_b) # MOM (use_mom: every cycle; SPINLOCK PATTERN_HOLD: cycles # 2..spinlock_iterations, then release). _mom_this_iter = use_mom or ( _spinlock_pattern_hold and 1 < iter_idx <= _spinlock_iters ) if _mom_this_iter and C_prev_occ_alpha_per_k is not None: for idx in range(n_k): for spin, (C_k, eps_k, n_occ_spin, C_prev_occ_k) in enumerate( [ ( new_C_alpha[idx], new_eps_alpha[idx], n_alpha, C_prev_occ_alpha_per_k[idx], ), ( new_C_beta[idx], new_eps_beta[idx], n_beta, C_prev_occ_beta_per_k[idx], ), ] ): if n_occ_spin == 0: continue S_k = S_k_list[idx] sel = _mom_select(C_k, S_k, C_prev_occ_k, n_occ_spin, eps_new=eps_k) n_kept_idx = C_k.shape[1] virt_mask = np.ones(n_kept_idx, dtype=bool) virt_mask[sel] = False virt_sel = np.where(virt_mask)[0] virt_sel = virt_sel[np.argsort(np.real(eps_k[virt_sel]))] order = np.concatenate([sel, virt_sel]) if spin == 0: new_C_alpha[idx] = C_k[:, order] new_eps_alpha[idx] = eps_k[order] else: new_C_beta[idx] = C_k[:, order] new_eps_beta[idx] = eps_k[order] C_alpha_per_k = new_C_alpha eps_alpha_per_k = new_eps_alpha C_beta_per_k = new_C_beta eps_beta_per_k = new_eps_beta occ_alpha_per_k, mu_alpha, entropy_alpha = _occupations_per_spin( eps_alpha_per_k, n_alpha ) occ_beta_per_k, mu_beta, entropy_beta = _occupations_per_spin( eps_beta_per_k, n_beta ) entropy = entropy_alpha + entropy_beta if use_fractional_density: D_alpha_new = real_space_density_from_kpoints_fractional( C_alpha_per_k, occ_alpha_per_k, kmesh, cells_density ) D_beta_new = real_space_density_from_kpoints_fractional( C_beta_per_k, occ_beta_per_k, kmesh, cells_density ) if not exchange_split_active: _zero_cross_cell_density( D_alpha_new, D_alpha_new.blocks[0].shape[0], n_k ) _zero_cross_cell_density(D_beta_new, D_beta_new.blocks[0].shape[0], n_k) else: D_alpha_new = _spin_density(C_alpha_per_k, n_alpha) D_beta_new = _spin_density(C_beta_per_k, n_beta) # Require both newly diagonalised spin densities to be the same fixed # point as D_used before accepting convergence. This includes the # occupation-only motion that a finite-temperature/Gilat commutator # cannot see. if converged: density_fixed_point_residual = max( ( float(np.max(np.abs(np.asarray(new) - np.asarray(old)))) for new_set, old_set in ( (D_alpha_new.blocks, D_alpha_used.blocks), (D_beta_new.blocks, D_beta_used.blocks), ) for new, old in zip(new_set, old_set) ), default=0.0, ) converged = density_fixed_point_residual < float(opts.conv_tol_grad) # ODA if use_oda: fock_naive = _build_fock_for_density( D_alpha_new, D_beta_new, coeffs_alpha_for_rho=C_alpha_per_k, coeffs_beta_for_rho=C_beta_per_k, use_incremental=False, # off the per-iter ΔD chain ) oda_step = _compute_oda_lambda( D_alpha_used, D_alpha_new, F_alpha_k_list, fock_naive.f_alpha_k_list, [np.asarray(k) for k in k_points], weights, trust_lambda_max=oda_trust_lambda_max, ) _oda_mix(D_alpha_used, D_alpha_new, oda_step.lam) _oda_mix(D_beta_used, D_beta_new, oda_step.lam) D_alpha_prev = D_alpha_real D_beta_prev = D_beta_real D_alpha_real = D_alpha_used D_beta_real = D_beta_used density_from_c_per_k = oda_step.lam == 1.0 plog.info( f" ODA: lambda = {oda_step.lam:.4f} (g0 = {oda_step.g0:+.3e}, g1 = {oda_step.g1:+.3e})" ) else: D_alpha_prev = D_alpha_used D_beta_prev = D_beta_used D_alpha_real = D_alpha_new D_beta_real = D_beta_new density_from_c_per_k = True # Snapshot for next iter MOM (use_mom: every cycle; PATTERN_HOLD: while # inside the hold window). if use_mom or (_spinlock_pattern_hold and iter_idx <= _spinlock_iters): C_prev_occ_alpha_per_k = [ np.asarray(C_alpha_per_k[idx][:, :n_alpha]).copy() if n_alpha > 0 else np.zeros((C_alpha_per_k[idx].shape[0], 0), dtype=complex) for idx in range(n_k) ] C_prev_occ_beta_per_k = [ np.asarray(C_beta_per_k[idx][:, :n_beta]).copy() if n_beta > 0 else np.zeros((C_beta_per_k[idx].shape[0], 0), dtype=complex) for idx in range(n_k) ] if damper is not None: damper.update(free_energy) E_prev = free_energy if converged: # IID 514: confirm the provisional exit on the EXACT operator at # the density just committed (see run_pbc_bipole_rhf). _confirm_fb = _build_fock_for_density( D_alpha_real, D_beta_real, coeffs_alpha_for_rho=( C_alpha_per_k if density_from_c_per_k else None ), coeffs_beta_for_rho=( C_beta_per_k if density_from_c_per_k else None ), use_incremental=False, ) _confirm_grad = unrestricted_bipole_commutator_norm( _confirm_fb.f_alpha_k_list, _confirm_fb.f_beta_k_list, ( _split_k_density_list(D_alpha_real) if exchange_split_active else _bloch_sum_blocks_multi_k( D_alpha_real.blocks, D_alpha_real.cells, k_points ) ), ( _split_k_density_list(D_beta_real) if exchange_split_active else _bloch_sum_blocks_multi_k( D_beta_real.blocks, D_beta_real.cells, k_points ) ), S_k_list, weights, ) converged = ( _confirm_grad < float(opts.conv_tol_grad) and abs(dE) < float(opts.conv_tol_energy) ) if not converged: _confirm_fb = None if converged: break # BZ-weighted complex <S^2>; valid for Gamma-containing and shifted # meshes and for fractional fixed-spin occupations. from .periodic_k_gdf import _multi_k_s_squared s2 = _multi_k_s_squared( n_alpha, n_beta, C_alpha_per_k, C_beta_per_k, S_k_list, weights, occ_alpha_k=occ_alpha_per_k, occ_beta_k=occ_beta_per_k, ) # ---- Ionic-Γ basin-health diagnostic (smearing straddle, per spin) - # See run_pbc_bipole_rks / smearing_basin_warning. Both spin channels # are checked; the minimum per-k gap across spins governs the trigger. basin_warning = smearing_basin_warning( smearing_T, [ (eps_alpha_per_k, occ_alpha_per_k, n_alpha, 1.0), (eps_beta_per_k, occ_beta_per_k, n_beta, 1.0), ], entropy, "run_pbc_bipole_uks", ) if basin_warning is not None: plog.info(" WARNING: " + basin_warning) warnings.warn(basin_warning, UserWarning, stacklevel=2) screened_exchange_execution = fock_build.screened_exchange_execution final_e_xc = float(e_xc) final_e_2e = float(E_2e) final_e_exchange = float(fock_build.e_exchange or 0.0) # ---- Post-loop: evaluate the exact density returned to callers. The # last diagonalisation commits a new density even when the iteration # budget is exhausted; always rebuild to keep the result internally # consistent. with bipole_final_density_phase( plog, iter_idx=iter_idx, energy=E_total, converged=converged, n_k=n_k, nbf=basis.nbasis, ): _fb = ( _confirm_fb if _confirm_fb is not None else _build_fock_for_density( D_alpha_real, D_beta_real, coeffs_alpha_for_rho=( C_alpha_per_k if density_from_c_per_k else None ), coeffs_beta_for_rho=( C_beta_per_k if density_from_c_per_k else None ), use_incremental=False, ) ) F_alpha_k_list = _fb.f_alpha_k_list F_beta_k_list = _fb.f_beta_k_list e_dft_plus_u = _apply_dft_plus_u( D_alpha_real, D_beta_real, F_alpha_k_list, F_beta_k_list, ) screened_exchange_execution = _fb.screened_exchange_execution D_xc_a = _density_set_gamma_or_lattice(S_lat, D_alpha_real) D_xc_b = _density_set_gamma_or_lattice(S_lat, D_beta_real) _xc = build_xc_periodic_uks( basis, system, grid, func, D_xc_a, D_xc_b, lat_opts_2e ) D_tot = _combine_density_sets( basis, system, lat_opts_2e, D_alpha_real, D_beta_real ) E_kin_f = _lattice_contract(D_tot, T_lat, operator_name="T") E_ne_f = _lattice_contract(D_tot, V_lat, operator_name="V_ne") E_2e_f = _fb.e_2e_k_correction + 0.5 * ( _lattice_contract(D_alpha_real, _fb.f2e_alpha_real, operator_name="F2e") + _lattice_contract(D_beta_real, _fb.f2e_beta_real, operator_name="F2e") ) E_elec = E_kin_f + E_ne_f + E_2e_f + float(_xc.e_xc) final_e_xc = float(_xc.e_xc) final_e_2e = float(E_2e_f) final_e_exchange = float(_fb.e_exchange or 0.0) E_total = float(E_elec) + e_nuc + e_dft_plus_u # Fresh E_total doesn't include spheropole -- add it (3D only; the # term is zero in the direct gauge used for dim<3). if system.dim == 3 and not exchange_split_active: E_sphero_final = compute_ext_el_spheropole(D_tot, basis, system, lat_opts) E_total += E_sphero_final else: E_sphero_final = None energy_components[-1] = PBCBipoleEnergyComponents( iter=int(iter_idx), e_total=float(E_total), e_electronic=float(E_elec), e_kinetic=float(E_kin_f), e_nuclear_attraction=float(E_ne_f), e_two_electron=float(E_2e_f), e_nuclear_repulsion=float(e_nuc), e_bielet_zone_ee=( None if use_ewald_j_split else float(E_2e_f) ), e_ext_el_spheropole=E_sphero_final, e_j_short_range=_fb.e_j_short_range, e_j_long_range=_fb.e_j_long_range, e_exchange=_fb.e_exchange, e_exchange_finite_size=_fb.e_exchange_finite_size, e_j_multipole=_fb.e_j_multipole, e_dft_plus_u=float(e_dft_plus_u), ) # The converged-density rebuild above can change E_total. Keep the # reported thermodynamic objective on that same final density; computing # it before the rebuild returned a stale Mermin free energy for UKS. free_energy_final = E_total - smearing_T * entropy final_grad_norm = unrestricted_bipole_commutator_norm( F_alpha_k_list, F_beta_k_list, ( _split_k_density_list(D_alpha_real) if exchange_split_active else _bloch_sum_blocks_multi_k( D_alpha_real.blocks, D_alpha_real.cells, k_points ) ), ( _split_k_density_list(D_beta_real) if exchange_split_active else _bloch_sum_blocks_multi_k( D_beta_real.blocks, D_beta_real.cells, k_points ) ), S_k_list, weights, ) final_delta, _ = refresh_bipole_terminal_trace( scf_trace, float(free_energy_final), grad_norm=final_grad_norm, ) if converged: converged = ( abs(final_delta) < float(opts.conv_tol_energy) and final_grad_norm < float(opts.conv_tol_grad) ) plog.converged( n_iter=iter_idx, energy=free_energy_final, converged=converged, ) return PBCBipoleUKSResult( energy=float(E_total), e_electronic=float(E_elec), e_nuclear=e_nuc, e_ext_el_spheropole=E_sphero_final, e_xc=final_e_xc, e_coulomb=final_e_2e - final_e_exchange, e_hf_exchange=final_e_exchange, n_iter=iter_idx, converged=converged, s_squared=float(s2), s_squared_ideal=0.25 * (mult - 1) * (mult + 1), mo_energies_alpha=eps_alpha_per_k, mo_coeffs_alpha=C_alpha_per_k, fock_alpha=F_alpha_k_list, density_alpha=D_alpha_real, mo_energies_beta=eps_beta_per_k, mo_coeffs_beta=C_beta_per_k, fock_beta=F_beta_k_list, density_beta=D_beta_real, overlap=S_k_list, hcore=Hcore_k_list, scf_trace=scf_trace, ewald_alpha_bohr_inv=omega_used, sr_image_extent_bohr=_sr_image_extent, pair_resolved_fock_domain=bool(_fock_sym_map is not None), e_dft_plus_u=float(e_dft_plus_u), energy_components=energy_components, exchange_ewald_split=bool(exchange_split_active), exchange_exxdiv=(exchange_exxdiv if exchange_split_active else None), overlap_fold_drift=overlap_fold_drift, exact_zone_bohr=_exact_zone, screened_exchange_execution=screened_exchange_execution, basin_warning=basin_warning, functional=str(opts.functional), smearing_temperature=smearing_T, fermi_level=float(mu_alpha) if n_alpha > 0 else float(mu_beta), fermi_level_alpha=(float(mu_alpha) if n_alpha > 0 else None), fermi_level_beta=(float(mu_beta) if n_beta > 0 else None), entropy=float(entropy), free_energy=float(free_energy_final), occupations_alpha=[np.asarray(o, dtype=float) for o in occ_alpha_per_k], occupations_beta=[np.asarray(o, dtype=float) for o in occ_beta_per_k], kpoints_cart=np.asarray(k_points, dtype=float).reshape(-1, 3), kpoint_weights=np.asarray(weights, dtype=float).reshape(-1), fock_mixing=fock_mixing_value, )