Neural evolution structure generation: High entropy alloys-Reference-Cited by-同舟云学术

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Neural evolution structure generation: High entropy alloys

Published:2021-07-28 Issue:4 Volume:155 Page:044102
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:J. Chem. Phys.

Author:

Tetsassi Feugmo Conrard Giresse¹^ORCID,Ryczko Kevin²³^ORCID,Anand Abu⁴^ORCID,Singh Chandra Veer⁴⁵^ORCID,Tamblyn Isaac¹²³^ORCID

Affiliation:

1. National Research Council Canada, Ottawa, Ontario K1A 0R6, Canada

2. Department of Physics, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada

3. Vector Institute for Artificial Intelligence, Toronto, Ontario M5G 1M1, Canada

4. Department of Materials Science and Engineering, University of Toronto, Toronto, Ontario M5S 3E4, Canada

5. Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0049000

Reference54 articles.

1. Bulk Metallic Glasses as Structural Materials: A Review

2. High-Entropy Alloys: A Critical Review

3. Superior hydrogen storage in high entropy alloys

4. Recent progress of high-entropy materials for energy storage and conversion

Cited by 7 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. Recent advances in computational design of structural multi-principal element alloys;iScience;2023-10

2. GAASP: Genetic Algorithm-Based Atomistic Sampling Protocol for High-Entropy Materials;Materials and Manufacturing Processes;2023-05-27

3. Machine-Learning-Driven High-Entropy Alloy Catalyst Discovery to Circumvent the Scaling Relation for CO₂ Reduction Reaction;ACS Catalysis;2022-11-22

4. High-throughput and machine-learning accelerated design of high entropy alloy catalysts;Trends in Chemistry;2022-07

5. Computational materials discovery;The Journal of Chemical Physics;2022-06-07

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