VASE: A High-Entropy Alloy Short-Range Order Structural Descriptor for Machine Learning-Reference-Cited by-同舟云学术

VASE: A High-Entropy Alloy Short-Range Order Structural Descriptor for Machine Learning

Published:2024-07-24 Issue: Volume: Page:
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Liu Jiaheng¹,Wang Pengbo¹,Luan Jun¹,Chen Junwei¹,Cai Pengcheng¹²,Chen Jianhua¹,Lu Xionggang¹,Fan Yunying³,Yu Zhigang¹^ORCID,Chou Kuochih¹²

Affiliation:

1. State Key Laboratory of Advanced Special Steel & Shanghai Key Laboratory of Advanced Ferrometallurgy & School of Materials Science and Engineering, Shanghai University,99 Shangda Road, Baoshan District, Shanghai 200444, China

2. State Key Laboratory of Advanced Metallurgy & Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China

3. School of Materials Science and Engineering, Kunming University of Science and Technology, Kunming, 650093, China

Funder

National Key Research and Development Program of China

Ningbo Municipal People's Government

Kunming University of Science and Technology

Aeronautical Science Foundation of China

Science and Technology Commission of Shanghai Municipality

National Natural Science Foundation of China

Zhejiang Phenomenological Materials Technology Co., Ltd.

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.4c00340

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3. Analytical models of short-range order in FCC and BCC alloys

4. The influences of temperature and microstructure on the tensile properties of a CoCrFeMnNi high-entropy alloy

5. A fracture-resistant high-entropy alloy for cryogenic applications