Work

Toward Predicting Efficiency of Organic Solar Cells via Machine Learning and Improved Descriptors

Year: 2018

Type: article

Source: Advanced Energy Materials

DOI: 10.1002/aenm.201801032

Authors: Harikrishna Sahu, Weining Rao, Alessandro Troisi, Haibo Ma

Institutions: Nanjing University, University of Liverpool

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: National Natural Science Foundation of China, Engineering and Physical Sciences Research Council

Awards: 有机光伏体系中激子耦合与激子动力学的理论研究, Rethinking the models of charge transport in polymeric semiconductors, G6874071770

OpenAlex ID: W2810220676

FWCI: 7.929

Cites: 90

Cited by: 263

Related to: 10