A Nonstochastic Optimization Algorithm for Neural-Network Quantum States-Reference-Cited by-同舟云学术

A Nonstochastic Optimization Algorithm for Neural-Network Quantum States

Published:2023-11-14 Issue:22 Volume:19 Page:8156-8165
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Li Xiang¹^ORCID,Huang Jia-Cheng¹,Zhang Guang-Ze¹,Li Hao-En¹,Cao Chang-Su¹²,Lv Dingshun²,Hu Han-Shi¹^ORCID

Affiliation:

1. Department of Chemistry and Engineering Research Center of Advanced Rare-Earth Materials of Ministry of Education, Tsinghua University, Beijing 100084, China

2. ByteDance Research, Zhonghang Plaza, No. 43, North Third Ring West Road, Haidian District, Beijing 100089, China

Funder

Tsinghua University

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.3c00831

Reference56 articles.

1. Iterative perturbation calculations of ground and excited state energies from multiconfigurational zeroth‐order wavefunctions

2. Estimating full configuration interaction limits from a Monte Carlo selection of the expansion space

3. Heat-Bath Configuration Interaction: An Efficient Selected Configuration Interaction Algorithm Inspired by Heat-Bath Sampling

4. iCI: Iterative CI toward full CI

5. Communication: An adaptive configuration interaction approach for strongly correlated electrons with tunable accuracy

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