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一种用于具有大活性空间的自旋适配多参考电子结构计算的基于构型的热浴组态相互作用方法。

A configuration-based heatbath-CI for spin-adapted multireference electronic structure calculations with large active spaces.

作者信息

Ugandi Mihkel, Roemelt Michael

机构信息

Institut für Chemie, Humboldt-Universität zu Berlin, Berlin, Germany.

出版信息

J Comput Chem. 2023 Dec 5;44(31):2374-2390. doi: 10.1002/jcc.27203. Epub 2023 Aug 17.

Abstract

This work reports on a spin-pure configuration-based implementation of the heatbath configuration interaction (HCI) algorithm for selective configuration interaction. Besides the obvious advantage of being spin-pure, the presented method combines the compactness of the configurational ansatz with the known efficiency of the HCI algorithm and a variety of algorithmic and conceptual ideas to achieve a high level of performance. In particular, through pruning of the selected configurational space after HCI selection by means of a more strict criterion, a more compact wavefunction representation is obtained. Moreover, the underlying logic of the method allows us to minimize the number of redundant matrix-matrix multiplications while making use of just-in-time compilation to achieve fast diagonalization of the Hamiltonian. The critical search for 2-electron connections within the configurational space is facilitated by a tree-based representation thereof as suggested previously by Gopal et al. Usage of a prefix-based parallelization and batching during the calculation of the PT2-correction leads to a good load balancing and significantly reduced memory requirements for these critical steps of the calculation. In this way, the need for a semistochastic approach to the PT2 correction is avoided even for large configurational spaces. Finally, several test-cases are discussed to demonstrate the strengths and weaknesses of the presented method.

摘要

这项工作报道了一种基于自旋纯构型的热浴构型相互作用(HCI)算法实现,用于选择性构型相互作用。除了自旋纯这一明显优势外,所提出的方法将构型假设的紧凑性与HCI算法已知的效率以及各种算法和概念性思想相结合,以实现高水平的性能。特别是,通过在HCI选择后借助更严格的标准对所选构型空间进行修剪,可获得更紧凑的波函数表示。此外,该方法的基本逻辑使我们能够在利用即时编译实现哈密顿量快速对角化的同时,尽量减少冗余矩阵乘法的数量。如戈帕尔等人之前所建议的,通过基于树的构型空间表示,有助于在构型空间内对双电子连接进行关键搜索。在PT2校正计算过程中使用基于前缀的并行化和批处理,可实现良好的负载平衡,并显著降低这些计算关键步骤的内存需求。通过这种方式,即使对于大型构型空间,也避免了对PT2校正采用半随机方法的必要性。最后,讨论了几个测试用例,以展示所提出方法的优缺点。

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