Active Learning for Generalizable Detonation Performance Prediction of Energetic Materials
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The discovery of new energetic materials is critical for advancing technologies from defense to private industry. However, experimental approaches remain slow and expensive, while computational alternatives require accurate material property inputs that are of... ...
