A tomographic, information-theoretic framework for materials representations is introduced and supported by feature-importance experiments on 126,325 Materials Project compounds.
Descriptor engineering in machine learning re- gression of electronic structure properties for 2d materials
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A tomographic interpretation of structure-property relations for materials discovery
A tomographic, information-theoretic framework for materials representations is introduced and supported by feature-importance experiments on 126,325 Materials Project compounds.