A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics Simulations

A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics Simulations

16 May 2025

David H. Richter

Stefano Castruccio

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Papers citing "A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics Simulations"

18 / 18 papers shown

Title
An Expert's Guide to Training Physics-informed Neural Networks Sizhuang He Shyam Sankaran Hanwen Wang P. Perdikaris PINN 98 108 0 16 Aug 2023
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection S. Pandey P. Teutsch Patrick Mäder J. Schumacher 104 33 0 26 Feb 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next S. Cuomo Vincenzo Schiano Di Cola F. Giampaolo G. Rozza Maizar Raissi F. Piccialli PINN 121 1,289 0 14 Jan 2022
Modern Koopman Theory for Dynamical Systems Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 120 420 0 24 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 514 2,456 0 18 Oct 2020
Physics-informed deep learning for incompressible laminar flows Chengping Rao Hao Sun Yang Liu PINN AI4CE 141 225 0 24 Feb 2020
Understanding and mitigating gradient pathologies in physics-informed neural networks Sizhuang He Yujun Teng P. Perdikaris AI4CE PINN 114 297 0 13 Jan 2020
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models Vincent Le Guen Nicolas Thome AI4TS 99 136 0 19 Sep 2019
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems Meng Tang Yimin Liu L. Durlofsky AI4CE 62 265 0 16 Aug 2019
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows Nils Thuerey Konstantin Weissenow L. Prantl Xiangyu Y. Hu AI4CE 86 385 0 18 Oct 2018
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media S. Mo Yinhao Zhu N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 86 282 0 02 Jul 2018
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting Patrick L. McDermott C. Wikle BDL 125 81 0 28 Jun 2018
End-to-End Multi-Task Learning with Attention Shikun Liu Edward Johns Andrew J. Davison CVBM 73 1,057 0 28 Mar 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 572 8,017 0 13 Jun 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 450 20,606 0 10 Sep 2014
Learning by Transduction A. Gammerman V. Vovk V. Vapnik 194 516 0 30 Jan 2013
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 209 5,361 0 21 Nov 2012