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随机广义活性空间自洽场:理论与应用。

Stochastic Generalized Active Space Self-Consistent Field: Theory and Application.

机构信息

Max-Planck-Institute for Solid State Research, Stuttgart, 70569, Germany.

RIKEN Center for Computational Science, 7-1-26 minatojima-minami, Chuo Kobe 650-0047, Japan.

出版信息

J Chem Theory Comput. 2022 Jan 11;18(1):251-272. doi: 10.1021/acs.jctc.1c00936. Epub 2021 Dec 13.

Abstract

An algorithm to perform stochastic generalized active space calculations, Stochastic-GAS, is presented, that uses the Slater determinant based FCIQMC algorithm as configuration interaction eigensolver. Stochastic-GAS allows the construction and stochastic optimization of preselected truncated configuration interaction wave functions, either to reduce the computational costs of large active space wave function optimizations, or to probe the role of specific electron correlation pathways. As for the conventional GAS procedure, the preselection of the truncated wave function is based on the selection of multiple active subspaces while imposing restrictions on the interspace excitations. Both local and cumulative minimum and maximum occupation number constraints are supported by Stochastic-GAS. The occupation number constraints are efficiently encoded in precomputed probability distributions, using the precomputed heat bath algorithm, which removes nearly all runtime overhead of GAS. This strategy effectively allows the FCIQMC dynamics to exclude electronic configurations that are not allowed by GAS restrictions. Stochastic-GAS reduced density matrices are stochastically sampled, allowing orbital relaxations via Stochastic-GASSCF, and direct evaluation of properties that can be extracted from density matrices, such as the spin expectation value. Three test case applications have been chosen to demonstrate the flexibility of Stochastic-GAS: (a) the Stochastic-GASSCF [5·(6, 6)] optimization of a stack of five benzene molecules, that shows the applicability of Stochastic-GAS toward fragment-based chemical systems; (b) an uncontracted stochastic MRCISD calculation that correlates 96 electrons and 159 molecular orbitals, and uses a large (32, 34) active space reference wave function for an Fe(II)-porphyrin model system, showing how GAS can be applied to systematically recover dynamic electron correlation, and how in the specific case of the Fe(II)-porphyrin dynamic correlation further differentially stabilizes the E over the A spin state; (c) the study of an FeS cluster's spin-ladder energetics via highly truncated stochastic-GAS [4·(5, 5)] wave functions, where we show how GAS can be applied to understand the competing spin-exchange and charge-transfer correlating mechanisms in stabilizing different spin-states.

摘要

提出了一种用于执行随机广义活性空间计算的算法,即随机-GAS,它使用基于 Slater 行列式的 FCIQMC 算法作为组态相互作用特征求解器。随机-GAS 允许构建和随机优化预选截断的组态相互作用波函数,无论是为了降低大活性空间波函数优化的计算成本,还是为了探测特定电子相关途径的作用。与传统的 GAS 过程一样,截断波函数的预选基于多个活性子空间的选择,同时对子空间激发施加限制。随机-GAS 同时支持局部和累积最小和最大占据数约束。占据数约束通过使用预计算热浴算法在预计算的概率分布中进行高效编码,该算法几乎消除了 GAS 的所有运行时开销。这种策略有效地允许 FCIQMC 动力学排除不被 GAS 限制允许的电子组态。随机-GAS 缩减密度矩阵是随机采样的,允许通过 Stochastic-GASSCF 进行轨道松弛,并直接评估可以从密度矩阵中提取的性质,例如自旋期望值。选择了三个测试案例应用来展示 Stochastic-GAS 的灵活性:(a)五个苯分子堆叠的 Stochastic-GASSCF [5·(6, 6)] 优化,展示了 Stochastic-GAS 应用于基于片段的化学系统的适用性;(b)未收缩的随机 MRCISD 计算,关联 96 个电子和 159 个分子轨道,并使用大型(32,34)活性空间参考波函数对 Fe(II)-卟啉模型系统进行计算,展示了如何应用 GAS 系统地恢复动态电子相关,以及在 Fe(II)-卟啉的具体情况下,动态相关性如何进一步使 E 自旋状态相对于 A 自旋状态不同程度地稳定;(c)通过高度截断的随机-GAS [4·(5, 5)] 波函数研究 FeS 团簇的自旋梯级能,展示了如何应用 GAS 来理解竞争的自旋交换和电荷转移相关机制在稳定不同自旋态中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe9/8757470/84bed2d9a7a3/ct1c00936_0001.jpg

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