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The Bielefeld Molecular Organic Glasses (BIMOG) Database is based on a compiled dataset of experimental glass transition temperatures (Tg). The BIMOG database is the basis for our machine learning model for predicting the glass transition temperature of molecular organic compounds. For this purpose, we extended the previously unpublished data set from Koop et al. 2011 with further data from the literature. All experimental data are listed with their respecitve source. Further information is provided here: https://tgml.chemie.uni-bielefeld.de To expand the database, we welcome the submission of further experimental data from the community. To do so, please follow this link.
If you use any of these data in your scientific work or in the resulting publications, please cite the corresponding original publication.
machine learning, molecular organics, BIMOG, glass transition temperature, Tg, SMILES, Bielefeld University, glass, amorphous solid
machine learning, molecular organics, BIMOG, glass transition temperature, Tg, SMILES, Bielefeld University, glass, amorphous solid
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