Work

Predefined attention-focused mechanism using center-environment features: a machine learning study of alloying effects on the stability of Nb 5 Si 3 alloys

Year: 2025

Type: article

Abstract: Machine learning prediction of substitution energies of Nb 5 Si 3 using the Center-Environment (CE) features with the environment atoms defined by the Atomic Environment Type (AET).

Source: Digital Discovery

DOI: 10.1039/d5dd00079c

Authors: Yuchao Tang, Bin Xiao, Shuizhou Chen, Quan Qian, Yi Liu

Institutions: Shanghai University, Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, State Key Laboratory of Functional Materials for Informatics

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: diamond

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

Awards: G1046737342, G139636843, G1464218281, G1980272734, G5343597406, G5769716043, G7178712919, G7798634492

OpenAlex ID: W4411299614

FWCI: 1.696

Cites: 48

Cited by: 8

Related to: 10