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Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance
arXiv.orgThis paper proposes a two-stage framework named ST-PAD for spatio-temporal fluid dynamics modeling in the field of earth sciences, aiming to achieve high-precision simulation and prediction of fluid dynamics through spatio-temporal physics awareness and ...
Hao Wu +8 more
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Physics-informed deep learning for data-driven solutions of computational fluid dynamics
Korean Journal of Chemical Engineering, 2022Solji Choi +4 more
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The European Physical Journal Plus, 2021
Yuan Shen, B. Tian, Tian-Yu Zhou
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Yuan Shen, B. Tian, Tian-Yu Zhou
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Physics-informed Kolmogorov–Arnold network with Chebyshev polynomials for fluid mechanics
The Physics of FluidsSolving partial differential equations (PDEs) is essential in scientific forecasting and fluid dynamics. Traditional approaches often incur expensive computational costs and tradeoffs in efficiency and accuracy.
Chunyu Guo +4 more
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Emerging exciton physics in transition metal dichalcogenide heterobilayers
Nature Reviews Materials, 2022Emma C Regan, Yongxin Zeng, Long Zhang
exaly
Twenty years of physics: Fluid dynamics
, 1968R. J. Emrich, F. N. Frenkiel
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Gauss-Newton Natural Gradient Descent for Physics-Informed Computational Fluid Dynamics
Computers & FluidsAnas Jnini +2 more
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Magnetic skyrmions: advances in physics and potential applications
Nature Reviews Materials, 2017Albert Fert +2 more
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