Work

Infrared window properties of AB₂C₄ (A=Zn; B In, Ga; C Te, Se) materials via machine learning and density functional theory

Year: 2025

Type: article

Source: Journal of Alloys and Compounds

DOI: 10.1016/j.jallcom.2025.184560

Authors: Changcheng Chen, Chunlian Xiong, Xinhui Zhang, Chunling Zhang, Yue Cheng, Weijun Wang, Wenkang Yu, Xunzhe Zhang, Jinkang Yu, Zhengjun Wang, Xiaoning Guan, Jiangzhou Xie, Yaxin Xu, Gang Liu, Pengfei Lu

Institutions: Xi'an University of Architecture and Technology, Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications, UNSW Sydney, Xi'an Jiaotong University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: Natural Science Foundation of Shanxi Province, Xi'an University of Architecture and Technology, Natural Science Foundation of Shaanxi Province, Key Technologies Research and Development Program, National Key Research and Development Program of China

Awards: G3131231403, G3484093092, G4096608653, G4553594645, G5545159602

OpenAlex ID: W4415422868

FWCI: 0.835

Cites: 72

Cited by: 4

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