Machine learning methods provide new insights into organic-inorganic interfaces -- K Trade Fair

Machine learning methods provide new insights into organic-inorganic interfaces

By combining two new machine-learning methods, TU Graz physicist Oliver Hofmann was able to refute theories on long-range charge transfer between organic and inorganic materials. Photo: Baustädter - TU Graz

New examination method combines two machine learning methods

Molecules change their atomic arrangement

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