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Glass transition temperature prediction of disordered molecular solids

Chemistry

Glass transition temperature prediction of disordered molecular solids

K. Lin, L. Paterson, et al.

Unlock the secrets to stable electronic devices with groundbreaking research from Kun-Han Lin, Leanne Paterson, Falk May, and Denis Andrienko. This study introduces a revolutionary computational methodology for predicting the glass transition temperature of organic semiconductors, achieving remarkable accuracy with a mean absolute error of only ~20°C.

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~3 min • Beginner • English
Abstract
Glass transition temperature, T_g, is the key quantity for assessing morphological stability and molecular ordering of films of organic semiconductors. A reliable prediction of T_g from the chemical structure is, however, challenging, as it is sensitive to both molecular interactions and analysis of the heating or cooling process. By combining a fitting protocol with an automated workflow for forcefield parameterization, we predict T_g with a mean absolute error of ~20°C for a set of organic compounds with T_g in the 50–230 °C range. Our study establishes a reliable and automated prescreening procedure for the design of amorphous organic semiconductors, essential for the optimization and development of organic light-emitting diodes.
Publisher
npj Computational Materials
Published On
Nov 08, 2021
Authors
Kun-Han Lin, Leanne Paterson, Falk May, Denis Andrienko
Tags
glass transition temperature
organic semiconductors
computational methodology
electronic devices
automated forcefield parameterization
amorphous materials
organic light-emitting diodes
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