Inertial Confinement Fusion Design Search Using Bayesian Optimization
Inertial confinement fusion (ICF) experiments rely on complex multi-physics simulation codes such as the Lawrence Livermore National Laboratory-developed HYDRA to guide design work. However, these simulations have several dozen tunable parameters and can be computationally expensive. This makes sear...
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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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Taylor & Francis Group
2025-12-01
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| Serie: | Data Science in Science |
| Ämnen: | |
| Länkar: | https://www.tandfonline.com/doi/10.1080/26941899.2025.2597011 |
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