Work

Batch Discovery of Complex Metal Superhydrides via an Effective Machine Learning Method Structured by Chemical Template Concept

Year: 2025

Type: article

Source: Journal of the American Chemical Society

DOI: 10.1021/jacs.5c11731

Authors: Yuanhui Sun, Austin Ellis, Xin Chen, Maosheng Miao

Institution: California State University, Northridge

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: U.S. Department of Defense, Camille and Henry Dreyfus Foundation, California State University, National Natural Science Foundation of China, National Science and Technology Major Project, American Chemical Society Petroleum Research Fund, Basic Research Program of Jiangsu Province, Division of Materials Research, Office of Advanced Cyberinfrastructure

Awards: G1443374023, G2365930900, G2845202640, G3231944206, G3894405681, G4819476430, G5080587862, REP NEW START "FROM NOVEL CHEMISTRY OF SUPERCOMPOSITION COMPOUNDS TO THE DESIGN OF NEW MATERIALS FOR DEFENSE APPLICATIONS"

OpenAlex ID: W4415433416

FWCI: 0.831

Cites: 83

Cited by: 4

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