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XenonPy.MDL: A comprehensive library of pre-trained models for materials properties

Photo by: Phys.org

A joint research group consisting of the Institute of Statistical Mathematics (ISM) and the National Institute for Materials Science (NIMS) has developed approximately 140,000 machine learning models capable of predicting 45 different types of physical properties in small molecules, polymers and inorganic materials. The joint group then made XenonPy.MDL—a pre-trained model library—publicly available.

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