Work

Data-driven modeling of S0 → S1 excitation energy in the BODIPY chemical space: High-throughput computation, quantum machine learning, and inverse design.

Year: 2021

Type: article

Source: PubMed

Authors: Amit Gupta, Sabyasachi Chakraborty, Debashree Ghosh, Raghunathan Ramakrishnan

Institutions: Tata Institute of Fundamental Research, Indian Association for the Cultivation of Science, TIFR Centre for Interdisciplinary Sciences

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: Tata Institute of Fundamental Research, Department of Atomic Energy, Government of India

OpenAlex ID: W4200534944

FWCI: 0.94

Cites: 131

Cited by: 19

Related to: 10