Suppr超能文献

使用密度矩阵重整化群的完全内收缩多参考组态相互作用理论:一种通过计算机辅助张量分解得到的缩比实现方法

Fully Internally Contracted Multireference Configuration Interaction Theory Using Density Matrix Renormalization Group: A Reduced-Scaling Implementation Derived by Computer-Aided Tensor Factorization.

作者信息

Saitow Masaaki, Kurashige Yuki, Yanai Takeshi

机构信息

The Graduate University for Advanced Studies , Myodaiji, Okazaki, Aichi 444-8585, Japan.

Department of Theoretical and Computational Molecular Science, Institute for Molecular Science , Okazaki, Aichi 444-8585, Japan.

出版信息

J Chem Theory Comput. 2015 Nov 10;11(11):5120-31. doi: 10.1021/acs.jctc.5b00270. Epub 2015 Oct 13.

Abstract

We present an extended implementation of the multireference configuration interaction (MRCI) method combined with the quantum-chemical density matrix renormalization group (DMRG). In the previous study, we introduced the combined theory, referred to as DMRGMRCI, as a method to calculate high-level dynamic electron correlation on top of the DMRG wave function that accounts for active-space (or strong) correlation using a large number of active orbitals. The DMRG-MRCI method is built on the full internal-contraction scheme for the compact reference treatment and on the cumulant approximation for the treatment of the four-particle rank reduced density matrix (4-RDM). The previous implementation achieved the MRCI calculations with the active space (24e,24o), which are deemed the record largest, whereas the inherent Nact 8 × N complexity of computation was found a hindrance to using further large active space. In this study, an extended optimization of the tensor contractions is developed by explicitly incorporating the rank reduction of the decomposed form of the cumulant-approximated 4-RDM into the factorization. It reduces the computational scaling (to Nact7 × N) as well as the cache-miss penalty associated with direct evaluation of complex cumulant reconstruction. The present scheme, however, faces the increased complexity of factorization patterns for optimally implementing the tensor contraction terms involving the decomposed 4-RDM objects. We address this complexity using the enhanced symbolic manipulation computer program for deriving and coding programmable equations. The new DMRG-MRCI implementation is applied to the determination of the stability of the iron(IV)-oxo porphyrin relative to the iron(V) electronic isomer (electromer) using the active space (29e,29o) (including four second d-shell orbitals of iron) with triple-ζ-quality atomic orbital basis sets. The DMRG-cu(4)-MRCI+Q model is shown to favor the triradicaloid iron(IV)-oxo state as the lowest energy state and characterize the iron(V) electromer as thermally inaccessible, supporting the earlier experimental and density functional studies. This conflicts with the previous MR calculations using the restricted activespace second-order perturbation theory (RASPT2) with the similar-size active space (29e,28o) reported by Pierloot et al. (Radoń, M.; Broclawik, E.; Pierloot, K. J. Chem. Theory Comput. 2011, 7, 898), showing that the hypothetical iron(V) state indicated by recent laser flash photolysis (LFP) studies is likely thermally accessible because of its underestimated relative energy.

摘要

我们展示了一种将多参考组态相互作用(MRCI)方法与量子化学密度矩阵重整化群(DMRG)相结合的扩展实现。在先前的研究中,我们引入了这种组合理论,称为DMRGMRCI,作为一种在DMRG波函数基础上计算高级动态电子关联的方法,该波函数使用大量活性轨道来考虑活性空间(或强)关联。DMRG - MRCI方法基于用于紧凑参考处理的完全内部收缩方案以及用于处理四粒子约化密度矩阵(4 - RDM)的累积量近似。先前的实现完成了活性空间为(24e,24o)的MRCI计算,这被认为是有记录以来最大的,然而发现固有的(N_{act}^8×N)计算复杂度阻碍了使用更大的活性空间。在本研究中,通过将累积量近似的4 - RDM分解形式的秩约化明确纳入因式分解,开发了张量收缩的扩展优化方法。它降低了计算标度(至(N_{act}^7×N))以及与直接评估复杂累积量重构相关的缓存未命中惩罚。然而,本方案在最优实现涉及分解的4 - RDM对象的张量收缩项时面临因式分解模式复杂度增加的问题。我们使用增强的符号操作计算机程序来处理这种复杂度,以推导和编码可编程方程。新的DMRG - MRCI实现应用于使用具有三重ζ质量原子轨道基组的活性空间(29e,29o)(包括铁的四个第二d壳层轨道)来确定铁(IV) - 氧代卟啉相对于铁(V)电子异构体(电异构体)的稳定性。结果表明,DMRG - cu(4) - MRCI + Q模型倾向于三自由基型铁(IV) - 氧代态作为最低能量态,并将铁(V)电异构体表征为热不可及,这支持了早期的实验和密度泛函研究。这与Pierloot等人报道的使用具有相似大小活性空间(29e,28o)的受限活性空间二阶微扰理论(RASPT2)进行的先前MR计算相冲突(Radoń, M.; Broclawik, E.; Pierloot, K. J. Chem. Theory Comput. 2011, 7, 898),表明最近激光闪光光解(LFP)研究表明的假设铁(V)态由于其相对能量被低估而可能是热可及的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验