Harnessing generative AI for efficient organic materials discovery in low-data regimes

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Authors: Jun Hyeong Kim, Kyung-Hoon Lee, Hyeonsu Kim, MinSoo Kang, Suk-Ku Chang, Yinglan Jin, Dongwook Kim, Woo Youn Kim
Cited by: 1
References: 50

Abstract

A building block-based generative AI combined with DFT screening enables the efficient discovery of TADF materials in low-data regimes. Experimental validation confirms the design of green emitters with external quantum efficiencies up to 11.22%.

Fields of Study & Subjects

Machine Learning in Materials Science Organic Electronics and Photovoltaics Luminescence and Fluorescent Materials

Publication details

Journal / source
Digital Discovery
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
3
Pages
1161–1171
Publication date
1 January 2026
Language
EN