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Physics-Informed Machine Learning with Data-Driven Equations for Predicting Organic Solar Cell Performance

Year: 2024

Type: article

Source: ACS Applied Materials & Interfaces

DOI: 10.1021/acsami.4c10868

Authors: Rudranarayan Khatua, Bibhas Das, Anirban Mondal

Institution: Indian Institute of Technology Gandhinagar

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: Science and Engineering Research Board

Award: G649373401

OpenAlex ID: W4403290834

FWCI: 2.08

Cites: 53

Cited by: 22

Related to: 10