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  Glass transition temperature prediction of disordered molecular solids

Lin, K.-H., Paterson, L., May, F., & Andrienko, D. (2021). Glass transition temperature prediction of disordered molecular solids. npj Computational Materials, 7(1): 179. doi:10.1038/s41524-021-00647-w.

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s41524-021-00647-w.pdf (Publisher version), 2MB
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https://gitlab.mpcdf.mpg.de/materials/tg (Research data)
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The input files of simulations, optimized forcefield parameters, the density- temperature data for all compounds are available in the Tg git repository, version 1.0
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 Creators:
Lin, Kun-Han1, Author           
Paterson, Leanne1, Author           
May, Falk2, Author
Andrienko, Denis1, Author           
Affiliations:
1Dept. Kremer: Polymer Theory, MPI for Polymer Research, Max Planck Society, ou_1800287              
2Merck KGaA, Darmstadt, Germany, ou_persistent22              

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Language(s): eng - English
 Dates: 2021-11-08
 Publication Status: Published online
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1038/s41524-021-00647-w
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Project name : MOSTOPHOS
Grant ID : 646259
Funding program : H2020-EU.2.1.3.1. (H2020)
Funding organization : European Commission (EC)

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Title: npj Computational Materials
  Abbreviation : npj Comput. Mater.
Source Genre: Journal
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Publ. Info: London : Springer Nature
Pages: - Volume / Issue: 7 (1) Sequence Number: 179 Start / End Page: - Identifier: ISSN: 2057-3960
CoNE: https://pure.mpg.de/cone/journals/resource/2057-3960