Institute of Solid State Physics

DE


 Machine Learning Provides New Insights Into Organic-Inorganic Interfaces

We are very proud to present our new study in which we combined two innovative machine learning algorithms to refute previous theories of long-range charge transfer to molecules not in direct contact with the surface. The study has been published in Advanced Science (here) . The new insights help to guide material design for functional electronics. The work has been covered in Planet Research

 

 


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