Data-Driven Design Guidelines for TADF Emitters from a High-Throughput Screening of 747 Molecules
TADF emitter performance depends on both thermodynamic and kinetic factors. We analyzed 747 experimentally known TADF molecules computationally to extract quantitative design guidelines. Using a validated xTB-based workflow, we examine how architecture, geometry, and electronic structure affect the photophysical properties. Among architectures, D-A-D frameworks achieve the smallest Δ<i>E</i><sub>ST</sub>. A favorable torsional angle of 50°-90° balances small Δ<i>E</i><sub>ST</sub> with the spin-orbit coupling needed for reverse intersystem crossing. Clustering separates high-performance candidates and highlights multiresonance emitters for blue emission. From these results, we identify 127 candidates with predicted Δ<i>E</i><sub>ST</sub> < 0.1 eV and oscillator strength <i>f</i> > 0.1. These HTVS-derived design guidelines and candidates can guide future TADF emitter development.
Authors
- S. G. Nana Engo (ORCID: https://orcid.org/0000-0002-7484-3508)
- Elvira Vanelle Kameni Tcheuffa
- Jean-Pierre Tchapet Njafa
- Aissatou Foumkpou Maghame
Institutions
- Université de Yaoundé I (CM)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2026-03-23
- DOI
- https://doi.org/10.1021/acs.jcim.5c03068
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00