Search Results for author: Pradeep K. Seshadri

Found 2 papers, 2 papers with code

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A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials

1 code implementation • 8 Nov 2022 • Phong C. H. Nguyen, Yen-Thi Nguyen, Pradeep K. Seshadri, Joseph B. Choi, H. S. Udaykumar, Stephen Baek

We introduce a new approach for SDT simulation by using deep learning to model the mesoscale energy localization of shock-initiated EM microstructures.

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PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials

1 code implementation • 4 Apr 2022 • Phong C. H. Nguyen, Yen-Thi Nguyen, Joseph B. Choi, Pradeep K. Seshadri, H. S. Udaykumar, Stephen Baek

The thermo-mechanical response of shock-initiated energetic materials (EM) is highly influenced by their microstructures, presenting an opportunity to engineer EM microstructure in a "materials-by-design" framework.

4
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