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Machine learning approach for predicting high JSC donor molecules in fullerene-typed organic solar cells

Year: 2024

Type: article

Source: Chemical Physics Letters

DOI: 10.1016/j.cplett.2024.141719

Authors: Yumi Morishita, Misato Yarimizu, Masanori Kaneko, Azusa Muraoka

Institutions: Japan Women's University, Yokohama City 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: Japan Society for the Promotion of Science

Awards: G7598434800, G8929252332, G8953630323

OpenAlex ID: W4403679936

FWCI: 0.757

Cites: 44

Cited by: 8

Related to: 10