Source code for tad_dftd4.cutoff
# This file is part of tad-dftd4.
#
# SPDX-Identifier: Apache-2.0
# Copyright (C) 2024 Grimme Group
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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"""
Cutoff
======
Real-space cutoffs for the two-body and three-body dispersion energy
as well as the coordination number within D4 and the EEQ Model.
"""
from __future__ import annotations
import torch
from tad_mctc.convert import any_to_tensor
from tad_mctc.typing import Tensor, TensorLike
from . import defaults
__all__ = ["Cutoff"]
[docs]
class Cutoff(TensorLike):
"""
Collection of real-space cutoffs.
"""
disp2: Tensor
"""
Two-body interaction cutoff.
:default: `60.0`
"""
disp3: Tensor
"""
Three-body interaction cutoff.
:default: `40.0`
"""
cn: Tensor
"""
Coordination number cutoff.
:default: `30.0`
"""
cn_eeq: Tensor
"""
Coordination number cutoff within EEQ.
:default: `25.0`
"""
__slots__ = ("disp2", "disp3", "cn", "cn_eeq")
def __init__(
self,
disp2: int | float | Tensor = defaults.D4_DISP2_CUTOFF,
disp3: int | float | Tensor = defaults.D4_DISP3_CUTOFF,
cn: int | float | Tensor = defaults.D4_CN_CUTOFF,
cn_eeq: int | float | Tensor = defaults.D4_CN_EEQ_CUTOFF,
device: torch.device | None = None,
dtype: torch.dtype | None = None,
) -> None:
super().__init__(device, dtype)
disp2 = any_to_tensor(disp2, device=device, dtype=dtype)
disp3 = any_to_tensor(disp3, device=device, dtype=dtype)
cn = any_to_tensor(cn, device=device, dtype=dtype)
cn_eeq = any_to_tensor(cn_eeq, device=device, dtype=dtype)
self.disp2 = disp2
self.disp3 = disp3
self.cn = cn
self.cn_eeq = cn_eeq