3 papers
cs.LG2026
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
M. Giselle Fernández-Godino, Meir H. Shachar, Kevin Korner +4
Predicting the extreme hydrodynamic response of porous and architected lattice materials is a fundamental challenge in high energy density physics, where shock-induced pore collaps…
cs.AI2026
Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems
Harshitha Menon, Charles F. Jekel, Kevin Korner +15
Today's scientific challenges, from climate modeling to Inertial Confinement Fusion design to novel material design, require exploring huge design spaces. In order to enable high-i…
physics.app-ph2025
Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy
Meir H. Shachar, Dane M. Sterbentz, Harshitha Menon +10
Inertial fusion energy promises nearly unlimited, clean power if it can be achieved. However, the design and engineering of fusion systems requires controlling and manipulating mat…