[Fe4S4(SCH3)4]2 -簇中的自旋流形——来自局域活动空间态相互作用单和对密度泛函理论

IF 5.8 1区 化学 Q2 CHEMISTRY, PHYSICAL
Valay Agarawal,Bhavnesh Jangid,Rishu Khurana,Cong Liu,Christopher Knight,Matthew R. Hermes,Laura Gagliardi
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引用次数: 0

摘要

铁硫簇在生物光合作用、呼吸作用和催化作用中起着核心作用。[Fe4S4(SCH3)4]2 -簇具有密集的低洼电子态,这些低洼电子态是由铁中心之间的强磁相互作用引起的,这使得其电子结构难以从理论上描述。以往的多参考文献研究一般都是单独优化激发态,而忽略了低洼状态之间的相互作用。在这项工作中,我们利用局域主动空间态相互作用单(LASSIS)结合对密度泛函理论(PDFT)研究了[Fe4S4(SCH3)4]2 -的低洼电子态。通过处理公共模型空间哈密顿量中的所有状态,LASSIS生成一组正交的低洼状态。由此产生的自旋态能量组织成不同的流形。从20个轨道上的22个电子到36个轨道上的54个电子的活动空间也得到了相同的总体模式。为了实现这些计算,我们还为LASSIS工作流中最需要计算的组件实现GPU加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spin Manifolds in the [Fe4S4(SCH3)4]2– Cluster from Localized Active Space State Interaction Singles and Pair-Density Functional Theory
Abstract Iron–sulfur clusters play central roles in biological photosynthesis, respiration, and catalysis. The [Fe4S4(SCH3)4]2– cluster possesses a dense manifold of low-lying electronic states arising from strong magnetic interactions among the Fe centers, making its electronic structure challenging to describe theoretically. Previous multireference studies have generally optimized excited states individually while neglecting the interactions among low-lying states. In this work, we investigate the low-lying electronic states of [Fe4S4(SCH3)4]2– using localized active space state interaction singles (LASSIS) combined with pair-density functional theory (PDFT). By treating all states within a common model-space Hamiltonian, LASSIS generates a single set of orthogonal low-lying states. The resulting spin-state energies organize into distinct manifolds. The same overall pattern is obtained for active spaces ranging from 22 electrons in 20 orbitals to 54 electrons in 36 orbitals. To enable these calculations, we also implement GPU acceleration for the most computationally demanding components of the LASSIS workflow.
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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