Machine learning electron correlation in a disordered medium-Reference-Cited by-同舟云学术

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Machine learning electron correlation in a disordered medium

Published:2019-02-11 Issue:8 Volume:99 Page:
ISSN:2469-9950
Container-title:Physical Review B
language:en
Short-container-title:Phys. Rev. B

Author:

Ma Jianhua,Zhang Puhan,Tan Yaohua,Ghosh Avik W.,Chern Gia-Wei

Funder

U.S. Department of Energy

Office of Science

Basic Energy Sciences

National Science Foundation

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevB.99.085118/fulltext

Reference69 articles.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning for structure-property mapping of Ising models: Scalability and limitations;Physical Review E;2023-12-13

2. Orbital-Free Density Functional Theory: An Attractive Electronic Structure Method for Large-Scale First-Principles Simulations;Chemical Reviews;2023-10-23

3. Convolutional neural networks for large-scale dynamical modeling of itinerant magnets;Physical Review Research;2023-09-14

4. Machine learning for phase ordering dynamics of charge density waves;Physical Review B;2023-07-05

5. Machine learning nonequilibrium electron forces for spin dynamics of itinerant magnets;npj Computational Materials;2023-03-03

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