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Dan Hu

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Input gradient annealing neural network for solving low-temperature Fokker-Planck equations

    2024 · arXiv (Cornell University)

    We present a novel yet simple deep learning approach, called input gradient annealing neural network (IGANN), for solving stationary Fokker-Planck equations. Traditional methods, such as finite difference and finite elements, suffer from the curse of …