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Materials Discovery with Extreme Properties via Reinforcement Learning-Guided Combinatorial Chemistry
In an experiment aimed at discovering molecules that hit seven extreme target properties, our model discovered 1, 315 of all target-hitting molecules and 7, 629 of five target-hitting molecules out of 100, 000 trials, whereas the probability distribution-learning models failed.
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning
Energy management systems (EMS) are becoming increasingly important in order to utilize the continuously growing curtailed renewable energy.
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