Pradeep K. Seshadri

According to our database, Pradeep K. Seshadri authored at least 4 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material.

Shahab Azarfar, Joseph B. Choi, Phong C. H. Nguyen, Yen Thi Nguyen, Pradeep K. Seshadri, H. S. Udaykumar, Stephen Baek

CoRR, June, 2025

2024

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling.

Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep K. Seshadri, Yen Thi Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

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

Phong C. H. Nguyen, Yen Thi Nguyen, Pradeep K. Seshadri, Joseph B. Choi, H. S. Udaykumar, Stephen Baek

CoRR, 2022

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

Phong C. H. Nguyen, Joseph B. Choi, Yen Thi Nguyen, Pradeep K. Seshadri, H. S. Udaykumar, Stephen Baek

CoRR, 2022