Glass transition temperature prediction of disordered molecular solids

NPJ COMPUTATIONAL MATERIALS(2021)

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摘要
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.
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关键词
Atomistic models,Computational methods,Electronic devices,Glasses,Materials Science,general,Characterization and Evaluation of Materials,Mathematical and Computational Engineering,Theoretical,Mathematical and Computational Physics,Computational Intelligence,Mathematical Modeling and Industrial Mathematics
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