17–22 May 2026
C.I.D
Europe/Zurich timezone

A Level Set Based Immersed Boundary Method for Modeling Phase Transition Dynamics in High-Energy-Density Beam Simulations

THP5362
21 May 2026, 16:00
2h
C.I.D

C.I.D

Deauville, France
Poster Presentation MC5.D11: Code Developments and Simulation Techniques Poster session

Speakers

Akash Dhruv (Argonne National Laboratory) Nathan Cook (RadiaSoft (United States))

Description

In this work, we present a numerical method for modeling phase transitions in solid–liquid–plasma systems under the high-energy-density conditions generated by beam strikes in fourth-generation storage-ring light sources. Our approach extends prior level set immersed boundary techniques by employing a signed distance function to represent multiphase interfaces and by coupling interface evolution to local velocities and latent-heat transfer laws. Compared to existing tagging methods, where each computational cell is heuristically labeled as solid, liquid, or plasma based solely on temperature thresholds, our level set formulation yields substantially higher fidelity. Tag-based methods inherently produce poorly-resolved interfaces and rely on simplified assumptions about phase transition. In contrast, the signed-distance representation provides smooth, sub-cell resolution of phase boundaries, enabling a more accurate application of interface-aware forcings and boundary conditions. Furthermore, interface advection governed by latent-heat transfer, rather than threshold-based switching, results in a more physically realistic description of phase transition dynamics. We demonstrate that this level-set-based immersed boundary framework significantly improves the accuracy and robustness of multiphase beam-impact simulations in high-energy-density environments, providing a foundation for predictive modeling in next-generation light-source facilities.

Funding Agency

U.S. Department of Energy, Office of Basic Energy Sciences

Footnotes

The submitted manuscript has been created by UChicago Argonne, LLC, Operator of
Argonne National Laboratory (“Argonne”). Argonne, a U.S. DOE Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare
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Authors

Akash Dhruv (Argonne National Laboratory) Austin Dick (Argonne National Laboratory) Jeffrey Dooling (Argonne National Laboratory) Alex Grannan (Argonne National Laboratory) Youngjun Lee (Argonne National Laboratory) Ryan Lindberg (Argonne National Laboratory) Gary Navrotski (Advanced Photon Source) Dongwook Lee (University of California, Santa Cruz) Sean Riedel (University of California, Santa Cruz) Nathan Cook (RadiaSoft (United States))

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