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Machine learning for new material prediction, what’s next?

Year: 2023

Type: article

Source: Next Materials

DOI: 10.1016/j.nxmate.2023.100005

Authors: Zhilong Wang, Yifei Mo, Jinjin Li

Institutions: Shanghai Jiao Tong University, University of Maryland, College Park

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,250

Funders: Innovative Research Group Project of the National Natural Science Foundation of China, National Natural Science Foundation of China, Shantou Science and Technology Project, National Key Research and Development Program of China

Awards: G3984978059, G6604631876, G9000180964

OpenAlex ID: W4322755151

FWCI: 0.071

Cites: 14

Cited by: 1

Related to: 10