A novel superhard tungsten nitride predicted by machine-learning accelerated crystal structure search-Reference-Cited by-同舟云学术

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A novel superhard tungsten nitride predicted by machine-learning accelerated crystal structure search

Published:2018-07 Issue:13 Volume:63 Page:817-824
ISSN:2095-9273
Container-title:Science Bulletin
language:en
Short-container-title:Science Bulletin

Author:

Xia Kang,Gao Hao,Liu Cong,Yuan Jianan,Sun Jian,Wang Hui-Tian,Xing Dingyu

Funder

Ministry of Science and Technology of the People’s Republic of China

National Natural Science Foundation of China

NSF of Jiangsu Province

Fundamental Research Funds for the Central Universities, the Science Challenge Project

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference71 articles.

1. Synthesis and design of superhard materials;Haines;Annu Rev Mater Res,2001

2. New materials from high-pressure experiments;McMillan;Nat Mater,2002

3. Materials science – designing superhard materials;Kaner;Science,2005

4. Synthesis of superhard materials;Solozhenko;Mater Today,2005

5. Reduction of the bulk modulus at high pressure in CrN;Rivadulla;Nat Mater,2009

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