Literature DB >> 32589842

Bootstrap Embedding For Large Molecular Systems.

Hong-Zhou Ye1, Henry K Tran1, Troy Van Voorhis1.   

Abstract

Recent developments in quantum embedding theories have provided attractive approaches to correlated calculations for large systems. In this work, we extend our previous work [J. Chem. Theory Comput. 2019, 15, 4497-4506; J. Phys. Chem. Lett. 2019, 10, 6368-6374] on bootstrap embedding (BE) to enable correlated ab initio calculations at the coupled cluster with singles and doubles (CCSD) level for large molecules. We introduce several new algorithmic developments that significantly reduce the computational cost of BE, while maintaining its accuracy. The resulting implementation scales as O(N3) for the integral transform and O(N) for the CCSD calculation. Numerical results on a series of conjugated molecules suggest that BE with reasonably sized fragments can recover more than 99.5% of the total correlation energy of a full CCSD calculation, while the required computational resources (time and storage) compare favorably to one popular local correlation scheme: domain localized pair natural orbital (DLPNO). The largest BE calculation in this work involves ∼2900 basis functions and can be performed on a single node with 16 CPU cores and 64 GB of memory in a few days. We anticipate that these developments represent an important step toward the application of BE to solve practical problems.

Year:  2020        PMID: 32589842     DOI: 10.1021/acs.jctc.0c00438

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  1 in total

1.  Toward practical quantum embedding simulation of realistic chemical systems on near-term quantum computers.

Authors:  Weitang Li; Zigeng Huang; Changsu Cao; Yifei Huang; Zhigang Shuai; Xiaoming Sun; Jinzhao Sun; Xiao Yuan; Dingshun Lv
Journal:  Chem Sci       Date:  2022-07-11       Impact factor: 9.969

  1 in total

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