Discovering Superhard B–N–O Compounds by Iterative Machine Learning and Evolutionary Structure Predictions
Author:
Affiliation:
1. Department of Physics, University of Alabama at Birmingham, Birmingham, Alabama 35294, United States
Funder
Office of Integrative Activities
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c01818
Reference71 articles.
1. Recent Advances in Superhard Materials
2. Synthesis of Binary Transition Metal Nitrides, Carbides and Borides from the Elements in the Laser-Heated Diamond Anvil Cell and Their Structure-Property Relations
3. Perspective: Superhard metal borides: A look forward
4. Electronic structure and anisotropic compression of Os2B3 to 358 GPa
5. Superhard boron-rich borides and studies of the BCN system
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