Work

A machine learning prediction model for quantitative analyzing the influence of non-radiative voltage loss on non-fullerene organic solar cells

Year: 2023

Type: article

Source: Chemical Engineering Journal

DOI: 10.1016/j.cej.2023.145958

Authors: Di Huang, Kuo Wang, Zhennan Li, Haixin Zhou, Xiaojie Zhao, Xinyu Peng, Jipeng Wu, Jiaojiao Liang, Juan Meng, Ling Zhao

Institutions: Hunan University of Technology, Liaocheng University, Guangxi Minzu University

Language: English

Topic: Organic Electronics and Photovoltaics

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: Education Department of Hunan Province, Natural Science Foundation of Hunan Province, National College Students Innovation and Entrepreneurship Training Program

Awards: G1759760509, G3243014995, G4083198212, G7025495471

OpenAlex ID: W4386569989

FWCI: 3.064

Cites: 72

Cited by: 43

Related to: 10