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Tag: Data-Driven Method

Materials Science Renewable Energy Industry
Mik Smitt

KAUST tool predicts optimal solvent to unlock 20× power in organic thermoelectric

Unlocking the Power: KAUST Tool Predicts Optimal Solvent to Boost Organic Thermoelectric Efficiency Researchers at King Abdullah University of Science and Technology (KAUST) have unveiled a data-driven method for predicting the optimal solvent to enhance the efficiency of organic thermoelectric materials. This groundbreaking tool has the potential to unlock up to 20 times more power […]

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