{"title":"An Efficient Scaled Opposite-Spin MP2 Method for Periodic Systems.","authors":"Idan Haritan, Xiao Wang, Tamar Goldzak","doi":"10.1021/acs.jctc.5c00394","DOIUrl":null,"url":null,"abstract":"<p><p>We develop SOS-RILT-MP2, an efficient Gaussian-based periodic scaled opposite-spin second-order Møller-Plesset perturbation theory (SOS-MP2) algorithm that utilizes the resolution-of-the-identity approximation (RI) combined with the Laplace transform technique (LT). In our previous work [Goldzak, T. <i>J. Chem. Phys.</i> 2022, 157, 174112], we showed that SOS-MP2 yields better predictions of the lattice constant, bulk modulus, and cohesive energy of 12 simple semiconductors and insulators compared to conventional MP2 and some of the leading density functionals. In this work, we present an efficient SOS-MP2 algorithm that has a scaling of <i>O</i>(<i>N</i><sup>4</sup>) with the number of atoms <i>N</i> in the unit cell, and a reduced scaling with the number of <i>k</i>-points in the Brillouin zone of the dominant scaling step in terms of unit cell complexity. We implemented and tested our algorithm on both molecular and solid-state systems, confirming the predicted scaling behavior by systematically increasing the number of atoms, the size of the basis set, and the density of <i>k</i>-point sampling. Using the benzene molecular crystal as a case study, we demonstrated that SOS-RILT-MP2 achieves significantly improved efficiency compared to conventional MP2. This efficient algorithm can be used in the future to study complex materials with large unit cells as well as defect structures.</p>","PeriodicalId":45,"journal":{"name":"Journal of Chemical Theory and Computation","volume":" ","pages":"6823-6833"},"PeriodicalIF":5.7000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical Theory and Computation","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.jctc.5c00394","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/1 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
We develop SOS-RILT-MP2, an efficient Gaussian-based periodic scaled opposite-spin second-order Møller-Plesset perturbation theory (SOS-MP2) algorithm that utilizes the resolution-of-the-identity approximation (RI) combined with the Laplace transform technique (LT). In our previous work [Goldzak, T. J. Chem. Phys. 2022, 157, 174112], we showed that SOS-MP2 yields better predictions of the lattice constant, bulk modulus, and cohesive energy of 12 simple semiconductors and insulators compared to conventional MP2 and some of the leading density functionals. In this work, we present an efficient SOS-MP2 algorithm that has a scaling of O(N4) with the number of atoms N in the unit cell, and a reduced scaling with the number of k-points in the Brillouin zone of the dominant scaling step in terms of unit cell complexity. We implemented and tested our algorithm on both molecular and solid-state systems, confirming the predicted scaling behavior by systematically increasing the number of atoms, the size of the basis set, and the density of k-point sampling. Using the benzene molecular crystal as a case study, we demonstrated that SOS-RILT-MP2 achieves significantly improved efficiency compared to conventional MP2. This efficient algorithm can be used in the future to study complex materials with large unit cells as well as defect structures.
我们开发了一种高效的基于高斯的周期尺度反自旋二阶Møller-Plesset微扰理论(SOS-MP2)算法,该算法利用了单位分辨率近似(RI)和拉普拉斯变换技术(LT)。在我们之前的工作中[Goldzak, T. J. Chem]。我们发现,与传统的MP2和一些领先的密度泛函相比,SOS-MP2可以更好地预测12种简单半导体和绝缘体的晶格常数、体积模量和内聚能。在这项工作中,我们提出了一种高效的SOS-MP2算法,该算法具有O(N4)与单位细胞中的原子数N的比例,并且在单位细胞复杂度方面,与主要缩放步骤的布里渊区k点的数量减少的比例。我们在分子和固态系统上实现并测试了我们的算法,通过系统地增加原子的数量、基集的大小和k点采样的密度来确认预测的缩放行为。以苯分子晶体为例,我们证明了与传统MP2相比,SOS-RILT-MP2的效率显著提高。这种有效的算法在未来可用于研究具有大单元胞的复杂材料以及缺陷结构。
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.