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Organic photovoltaics max out at 15% to 20% efficiency. Lehigh University researchers are using physics-informed machine learning on Frontera to try to improve this efficiency.

Their findings suggest a machine learning model, trained on coarse grained molecular models, can identify the optimal parameters for manufacturing in much less time than traditional methods.

The researchers are currently exploring alternative materials for the bulk heterojunction — a key part of solar cells — and plan to use their machine learning framework to optimize the production and use of such materials.


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