#Machine learning methods provide new insights into organic-inorganic interfaces

“#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. Credit: Baustädter – TU Graz Oliver Hofmann and his research group at the Institute of Solid State Physics at TU Graz…

Read More