Work

Advancing the understanding and prediction accuracy of molecular adsorption energy with artificial intelligence

Year: 2025

Type: article

Source: Physical review. B./Physical review. B

DOI: 10.1103/physrevb.111.195413

Authors: Wen Liu, Ning Xu, Zheng Li, Meiliang Ma, Xiaojuan Hu, Zhong-Kang Han, Ying Jiang, Wentao Yuan, Hangsheng Yang, Sergey V. Levchenko, Yong Wang

Institutions: Zhejiang University, Skolkovo Institute of Science and Technology

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, Russian Science Foundation, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities

Awards: G132119830, G136450129, G1458178492, G1860771989, 金属纳米颗粒氧化机制的原位环境显微学研究, G2755910595, G3307454801, G5209778325, G584454337, G6351471719, G6674439659

OpenAlex ID: W4410233178

FWCI: 0.207

Cites: 61

Cited by: 1

Related to: 10