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Inference of three-dimensional hot-spot and shell morphology in inertial confinement fusion experiments using a convolutional neural network

K. M. Woo1,*, J. Buck2, K. Churnetski1, R. Betti1, C. A. Thomas1, C. Stoeckl1, P. V. Heuer1, C. Kanan3, P. B. Radha1 et al.

J. Carroll-Nellenback1, K. S. Anderson1, T. J. B. Collins1, L. Ceurvorst1, V. Gopalaswamy1, and S. T. Ivancic1

  • 1Laboratory for Laser Energetics, Rochester, New York 14623, USA
  • 2Department of Physics and Astronomy, University of Rochester, Rochester, New York 14623, USA
  • 3Department of Computer Science, University of Rochester, Rochester, New York 14623, USA

  • *Contact author: kwoo@lle.rochester.edu

面向复杂靶场的条纹相机微型高集成可调高精度时标光系统设计

任凯利 REN Kaili, 龙帅 LONG Shuai, 马子元 MA Ziyuan, 曹伟伟 CAO Weiwei, 拓鸿丽 TUO Hongli, 李永宏 LI Yonghong, and 朱炳利 ZHU Bingli

光子学报 55 0211001 (2026)

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