Effective Ruderman–Kittel–Kasuya–Yosida-like Interaction in Diluted Double-exchange Model: Self-learning Monte Carlo Approach-Reference-Cited by-同舟云学术

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Effective Ruderman–Kittel–Kasuya–Yosida-like Interaction in Diluted Double-exchange Model: Self-learning Monte Carlo Approach

Published:2021-03-15 Issue:3 Volume:90 Page:034711
ISSN:0031-9015
Container-title:Journal of the Physical Society of Japan
language:en
Short-container-title:J. Phys. Soc. Jpn.

Author:

Kohshiro Hidehiko¹²,Nagai Yuki²³

Affiliation:

1. Institute for Solid State Physics, The University of Tokyo, Kashiwa, Chiba 277-0882, Japan

2. CCSE, Japan Atomic Energy Agency, Kashiwa, Chiba 277-0871, Japan

3. Mathematical Science Team, RIKEN Center for Advanced Intelligence Project (AIP), Chuo, Tokyo 103-0027, Japan

Publisher

Physical Society of Japan

Subject

General Physics and Astronomy

Link

https://journals.jps.jp/doi/pdf/10.7566/JPSJ.90.034711

Cited by 4 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. Canonical Monte Carlo multispin cluster method;Journal of Computational and Applied Mathematics;2023-08

2. Sample generation for the spin-fermion model using neural networks;Physical Review B;2022-11-08

3. A perspective on machine learning and data science for strongly correlated electron problems;Carbon Trends;2022-10

4. Conditional generative models for sampling and phase transition indication in spin systems;SciPost Physics;2021-08-30

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