Learning the stable and metastable phase diagram to accelerate the discovery of metastable phases of boron
Author:
Affiliation:
1. Department of Mechanical and Industrial Engineering, University of Illinois 1 , Chicago, Illinois 60607, USA
2. Center for Nanoscale Materials, Argonne National Laboratory 2 , Lemont, Illinois 60439, USA
Abstract
Funder
National Energy Research Scientific Computing Center
Basic Energy Sciences
Publisher
AIP Publishing
Link
https://pubs.aip.org/aip/aml/article-pdf/doi/10.1063/5.0175994/18291431/016103_1_5.0175994.pdf
Reference43 articles.
1. Superconductivity in α-boron at Mbar pressure;Shimizu;Physica C,2010
2. Micromachining of borosilicate glass: A state of art review;Pawar;Mater. Today: Proc.,2017
3. Dielectric breakdown in single-crystal hexagonal boron nitride;Ranjan;ACS Appl. Electron. Mater.,2021
4. Boron: A hunt for superhard polymorphs;Oganov;J. Superhard Mater.,2009
5. Cubic boron nitride competing with diamond as a superhard engineering material—An overview;Monteiro;J. Mater. Res. Technol.,2013
Cited by 3 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
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2. Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement Learning;The Journal of Physical Chemistry A;2024-06-14
3. Erratum: “Learning the stable and metastable phase diagram to accelerate the discovery of metastable phases of boron” [APL Mach. Learn. 2, 016103 (2024)];APL Machine Learning;2024-02-20
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