Work

High-Throughput Computational Screening of Ternary Metal Sulfides with Enhanced Photovoltaic Properties through Flexible Compositional Optimization

Year: 2026

Type: article

Source: Inorganic Chemistry

DOI: 10.1021/acs.inorgchem.5c06105

Authors: Xiaoxia Yang, Jingya Tang, Peng Xu, Fuxiang Liu

Institution: China Three Gorges University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G5349665908

OpenAlex ID: W7147577211

FWCI: 1.385

Cites: 79

Cited by: 1

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