TY - JOUR
T1 - Glass transition temperature prediction of disordered molecular solids
AU - Lin, Kun-Han
AU - Paterson, Leanne
AU - May, Falk
AU - Andrienko, Denis
N1 - 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.
PY - 2021/11/8
Y1 - 2021/11/8
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/673305
UR - https://www.nature.com/articles/s41524-021-00647-w
UR - http://www.scopus.com/inward/record.url?scp=85118605374&partnerID=8YFLogxK
U2 - 10.1038/s41524-021-00647-w
DO - 10.1038/s41524-021-00647-w
M3 - Article
SN - 2057-3960
VL - 7
JO - npj Computational Materials
JF - npj Computational Materials
IS - 1
ER -