Work

Highly Efficient Screening of Halide Double Perovskite Optoelectronic Materials Based on Machine learning

Year: 2025

Type: article

Source: ACS Applied Materials & Interfaces

DOI: 10.1021/acsami.4c22272

Authors: Wen Luo, Xinying Xian, Jiang Zhu, Yangyi Shen, Lefei Cao, Feifan Chen, Yayun Pu, Fei Qi, Nan Zhang, Xiaosheng Tang, Qiang Huang

Institution: Chongqing University of Posts and Telecommunications

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

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Chongqing, Chongqing Municipal Education Commission

Awards: G1600822928, G1963521487, G2106442496, 冷等离子体催化-光催化协同作用分解二氧化碳机制研究, G538313103, G6918318437, G7940606186

OpenAlex ID: W4408470408

FWCI: 3.308

Cites: 60

Cited by: 16

Related to: 10