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De Novo Inverse Design Superhard C–N Compounds via Global Machine Learning Interatomic Potentials and Multiobjective Optimization Algorithm

Year: 2025

Type: article

Source: The Journal of Physical Chemistry Letters

DOI: 10.1021/acs.jpclett.5c00181

Authors: Guanjian Cheng, Wan-Jian Yin

Institutions: Fudan University, Soochow University, State Key Laboratory of Surface Physics

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G1007367601, G8425566183, G8777155022

OpenAlex ID: W4409758273

FWCI: 0.416

Cites: 53

Cited by: 2

Related to: 10