FiniteNet: A Fully Convolutional LSTM Network Architecture for
Time-Dependent Partial Differential Equations

FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations

7 February 2020

ArXiv (abs)PDF HTML

Papers citing "FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations"

15 / 15 papers shown

Title
Operator Learning Using Random Features: A Tool for Scientific Computing Nicholas H. Nelsen Andrew M. Stuart 101 14 0 12 Aug 2024
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations N. McGreivy Ammar Hakim AI4CE 113 56 0 09 Jul 2024
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis Guoxiang Grayson Tong Carlos A. Sing Long Daniele E. Schiavazzi 54 7 0 24 Jul 2023
Machine Learning for Partial Differential Equations Steven L. Brunton J. Nathan Kutz AI4CE 101 21 0 30 Mar 2023
Invariant preservation in machine learned PDE solvers via error correction N. McGreivy Ammar Hakim AI4CE PINN 79 9 0 28 Mar 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng Yang Rui Liu S. Xiong Bo Zhu 61 1 0 10 Mar 2023
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks Blake Bullwinkel Dylan Randle P. Protopapas David Sondak 86 3 0 15 Sep 2022
Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning J. Jeon Juhyeong Lee Ricardo Vinuesa S. J. Kim AI4CE 89 30 0 14 Jun 2022
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling Ivan Ezhov Kevin Scibilia Katharina Franitza Felix Steinbauer Suprosanna Shit ... Diana Waldmannstetter Martin J. Menten M. Metz Benedikt Wiestler Bjoern Menze 112 29 0 07 Nov 2021
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 184 385 0 05 Oct 2021
Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows J. Jeon Juhyeong Lee S. J. Kim 74 30 0 07 May 2021
DiffusionNet: Accelerating the solution of Time-Dependent partial differential equations using deep learning M. Asem AI4CE 23 2 0 19 Nov 2020
Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks Dylan Randle P. Protopapas David Sondak GAN 65 5 0 21 Jul 2020
The Random Feature Model for Input-Output Maps between Banach Spaces Nicholas H. Nelsen Andrew M. Stuart 93 144 0 20 May 2020
DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization Rishikesh Ranade C. Hill Jay Pathak AI4CE 147 127 0 17 May 2020