Can Kans (re)discover predictive models for Direct-Drive Laser Fusion? · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2409.08832/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTCan Kans (re)discover predictive models for Direct-Drive Laser Fusion? — mentioned by chriskananhttps://news.ycombinator.com/item?id=42079600urn:hackerpapers:mention:2409.08832:42079600Thu, 07 Nov 2024 18:48:44 GMT<p>There is a lot of AI research in the nuclear fusion space. For inertial confinement fusion (a competing technology to magnetic confinement fusion, e.g., tokamaks) the National Ignition Facility (NIF) used it for their experiment that resulted in &quot;ignition.&quot; My lab is collaborating with researchers at the Laboratory for Laser Energetics to use AI to improve inertial confinement fusion (ICF). We recently put out this paper [1] using Kolmogorov-Arnold Networks (KANs) to predict the outcome of ICF experiments. Currently, existing physics simulators are based on old Fortran code, are slow, and…</p><p><a href="https://hackerpaper.kaipfister.de/p/2409.08832/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG