Glass transition temperature prediction of disordered molecular solids

Kun-Han Lin, Leanne Paterson, Falk May, Denis Andrienko

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


AbstractGlass transition temperature, Tg, is the key quantity for assessing morphological stability and molecular ordering of films of organic semiconductors. A reliable prediction of Tg 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 Tg with a mean absolute error of ~20 °C for a set of organic compounds with Tg 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.
Original languageEnglish (US)
Journalnpj Computational Materials
Issue number1
StatePublished - Nov 8 2021
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2021-11-20
Acknowledged KAUST grant number(s): CRG
Acknowledgements: D.A. acknowledges the BMBF Grant InterPhase (No. FKZ13N13661) and the European Union Horizon 2020 Research and Innovation Program ‘Widening Materials Models’ under Grant Agreement No. 646259 (MOSTOPHOS). This research has been supported by the King Abdullah University of Science and Technology (KAUST), via the Competitive Research Grants (CRG) Program. D.A. acknowledges KAUST for hosting his sabbatical. DFG is acknowledged for financial support through the collaborative research center TRR 146. K.-H. L. acknowledges the financial support from the Swiss NSF Early Postdoc Mobility fellowship (grant no. P2ELP2_195156).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


Dive into the research topics of 'Glass transition temperature prediction of disordered molecular solids'. Together they form a unique fingerprint.

Cite this