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Challenges and opportunities for machine learning in multiscale computational modeling
Many mechanical engineering applications call for multiscale computation...
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Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions
Artificial intelligence (AI) is rapidly emerging as an enabling tool for...
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A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials
Predictive simulations of the shock-to-detonation transition (SDT) in he...
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