GRINN: A Physics-Informed Neural Network for solving hydrodynamic
systems in the presence of self-gravity

GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity

15 August 2023

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Papers citing "GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity"

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Title
Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity E. Coutinho M. DallÁqua L. McClenny M. Zhong U. Braga-Neto Eduardo Gildin 33 40 0 15 Mar 2022
Physics-informed neural networks (PINNs) for fluid mechanics: A review Shengze Cai Zhiping Mao Zhicheng Wang Minglang Yin George Karniadakis PINN AI4CE 79 1,198 0 20 May 2021
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation Jungeun Kim Kookjin Lee Dongeun Lee Sheo Yon Jin Noseong Park PINN AI4CE 55 82 0 04 Dec 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 165 2,571 0 17 Jun 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 236 786 0 13 Mar 2020
DeepXDE: A deep learning library for solving differential equations Lu Lu Xuhui Meng Zhiping Mao George Karniadakis PINN AI4CE 99 1,540 0 10 Jul 2019
$Transfer learning enhanced physics informed neural network for phase-field modeling of fracture$ Transfer learning enhanced physics informed neural network for phase-field modeling of fracture S. Goswami C. Anitescu S. Chakraborty Timon Rabczuk PINN 78 610 0 04 Jul 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 114 869 0 18 Jan 2019
A unified deep artificial neural network approach to partial differential equations in complex geometries Jens Berg K. Nystrom AI4CE 63 586 0 17 Nov 2017
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 168 2,816 0 20 Feb 2015