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article · Journal of Chemical Information and Modeling

Data-Driven Design Guidelines for TADF Emitters from a High-Throughput Screening of 747 Molecules

Abstract

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.

Research topics

  • Computational Drug Discovery Methods
  • Machine Learning in Materials Science
  • Organic Electronics and Photovoltaics

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DOI: 10.1021/acs.jcim.5c03068

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