Source code for tad_mctc.ncoord.d4
# This file is part of tad-mctc.
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# SPDX-Identifier: Apache-2.0
# Copyright (C) 2024 Grimme Group
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# http://www.apache.org/licenses/LICENSE-2.0
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"""
Coordination number: DFT-D4
===========================
Calculation of DFT-D4 coordination number. Includes electronegativity-
dependent term.
"""
from __future__ import annotations
import torch
from ..data import en as eneg
from ..data import radii
from ..typing import DD, CountingFunction, Tensor
from . import defaults
from .common import coordination_number
from .count import erf_count
__all__ = ["cn_d4"]
[docs]
def cn_d4(
numbers: Tensor,
positions: Tensor,
counting_function: CountingFunction = erf_count,
) -> Tensor:
"""
Compute the D4 fractional coordination number.
Parameters
----------
numbers : Tensor
Atomic numbers for all atoms in the system of shape ``(..., nat)``.
positions : Tensor
Cartesian coordinates of all atoms (shape: ``(..., nat, 3)``).
counting_function : CountingFunction, optional
Counting function used for the DFT-D4 coordination number.
Defaults to the error function counting function
:func:`tad_mctc.ncoord.count.erf_count`.
Returns
-------
Tensor
Coordination numbers for all atoms (shape: ``(..., nat)``).
"""
dd: DD = {"device": positions.device, "dtype": positions.dtype}
cutoff = torch.tensor(defaults.CUTOFF_D4, **dd)
rcov = radii.COV_D3(**dd)[numbers]
en = eneg.PAULING(**dd)[numbers]
endiff = torch.abs(en.unsqueeze(-2) - en.unsqueeze(-1))
weight = defaults.D4_K4 * torch.exp(
-((endiff + defaults.D4_K5) ** 2.0) / defaults.D4_K6
)
return coordination_number(
numbers,
positions,
counting_function=counting_function,
rcov=rcov,
cutoff=cutoff,
pair_weight=weight,
)