AI RESEARCH
Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions
arXiv CS.LG
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ArXi:2509.05510v3 Announce Type: replace-cross Continued progress in inertial confinement fusion (ICF) requires solving inverse problems relating experimental observations to simulation input parameters, followed by design optimization. However, such high-dimensional dynamic PDE-constrained optimization problems are extremely challenging or even intractable. It has been recently shown that inverse problems can be solved by only considering certain robust features.