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Found 2 papers, 1 papers with code
Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials
Data science and artificial intelligence are playing an increasingly important role in the physical sciences.
Machine Learning of Energetic Material Properties
In this work, we discuss use of machine learning techniques for rapid prediction of detonation properties including explosive energy, detonation velocity, and detonation pressure.
Materials Science Chemical Physics Computational Physics
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