arXiv Machine Learning June 4, 2026 By Tyler E. Maltba, Ben S. Southworth, Jeffrey R. Haack, Marc L. Klasky

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions

Read the original on arXiv Machine Learning →

arXiv:2509. 05510v3 Announce Type: replace-cross Abstract: Continued progress in inertial confinement fusion (ICF) requires solving inverse problems relating experimental observations to simulation input parameters, followed by design optimization.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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