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Updated: Nov 5, 2025

Setting Limits on Supersymmetry Using Simplified Models
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Published on: November 15, 2013

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高エネルギー密度の物理学のデータ主導の未来

Peter W Hatfield1, Jim A Gaffney2, Gemma J Anderson3

  • 1Clarendon Laboratory, University of Oxford, Parks Road, Oxford, UK. peter.hatfield@physics.ox.ac.uk.

Nature
|May 20, 2021
PubMed
まとめ

機械学習は 複雑なプラズマの相互作用を分析することで 高エネルギー密度の物理学に革命を起こしています データを駆動する手法により 実験が速く 自動制御が可能になり 極端な状況への理解が進んでいます

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