Xiang-Yang Liu1, Dongyi Xiao2, Wei-Hai Fang2,3

  • 1College of Chemistry and Material Science, Sichuan Normal University, Chengdu 610068, China.

まとめ

この研究は,光誘導ダイナミクスのシミュレーションを加速する機械学習 (ML) 方法を導入し,刺激効果を正確に捕捉します. このアプローチは,物質の複雑な光化学を研究するための計算効率を大幅に高めます.

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