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Machine Learning Methods Provide New Insights into Organic-Inorganic Interfaces

from Phys.org

Machine Learning Methods Provide New Insights into Organic-Inorganic Interfaces Phys.org Oliver Hofmann and his research group at the Institute of Solid State Physics at TU Graz are working on the optimization of modern electronics. A key role in their research is played by interface properties of hybrid materials consisting of organic and inorganic components, which are used, for example, in OLED displays or organic solar cells. The team simulates these interface properties with machine-learning-based methods.  READ MORE

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