activity
20222026
most citedExplosively driven Richtmyer--Meshkov instability jet suppression and enhancement via coupling machine learning and additive manufacturing

8 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

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.plasm-ph2026★ 2 cited

Passive freeze-out of the Richtmyer-Meshkov instability

J. Strucka, D. M. Sterbentz, B. Lukic +16

The Richtmyer-Meshkov instability (RMI) poses a major challenge in inertial confinement fusion (ICF) due to its role in mixing and performance degradation. We report the first expe…

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…

physics.comp-ph2025

Advancing Material Modeling in Hydrocodes Beyond Equations of State

Tim A. Linke, Dane M. Sterbentz, Jean-Pierre R. Delplanque +5

We present a multiscale simulation framework that couples the Finite Element Method with molecular dynamics. Bypassing traditional equations of state (EOS) by using in-line atomist…

physics.comp-ph2025

A Concurrent Multiscale Framework Coupling Direct Simulation Monte Carlo and Molecular Dynamics

Tim Linke, Dane Sterbentz, Niels Grønbech-Jensen +2

We present a new method to couple the Direct Simulation Monte Carlo (DSMC) algorithm with molecular dynamics (MD). The coupling approach generalizes prior coupling methods using a…

physics.app-ph2024★ 8 cited

Explosively driven Richtmyer--Meshkov instability jet suppression and enhancement via coupling machine learning and additive manufacturing

Dane M. Sterbentz, Dylan J. Kline, Daniel A. White +10

The ability to control the behavior of fluid instabilities at material interfaces, such as the shock-driven Richtmyer--Meshkov instability, is a grand technological challenge with…

physics.flu-dyn2022★ 1 cited

Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-meshkov Instabilities

Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry +3

Richtmyer-Meshkov Instability (RMI) is a complicated phenomenon that occurs when a shockwave passes through a perturbed interface. Over a thousand hydrodynamic simulations were per…