Scalable algorithms for physics-informed neural and graph networks

16 May 2022

Papers citing "Scalable algorithms for physics-informed neural and graph networks"

22 / 22 papers shown

Title
Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification J. Hart I. Manickam M. Gulian L. Swiler D. Bull T. Ehrmann H. Brown B. Wagman J. Watkins 21 2 0 10 Sep 2024
Physics-informed graph neural networks for flow field estimation in carotid arteries Julian Suk Dieuwertje Alblas B A Hutten A. Wiegman Christoph Brune P. Ooij J. Wolterink AI4CE 24 2 0 13 Aug 2024
Graph Neural Networks and Applied Linear Algebra Nicholas S. Moore Eric C. Cyr Peter Ohm C. Siefert R. Tuminaro 9 4 0 21 Oct 2023
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks N. R. Franco S. Fresca Filippo Tombari Andrea Manzoni AI4CE 16 16 0 03 Aug 2023
Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil Rahul Sundar Dipanjan Majumdar Didier Lucor Sunetra Sarkar PINN AI4CE 18 6 0 23 Jun 2023
Learning CO $_2$ plume migration in faulted reservoirs with Graph Neural Networks X. Ju Franccois P. Hamon Gege Wen Rayan Kanfar Mauricio Araya-Polo H. Tchelepi AI4CE 8 1 0 16 Jun 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks A. Gruber Kookjin Lee N. Trask AI4CE 9 9 0 24 May 2023
Importance of equivariant and invariant symmetries for fluid flow modeling Varun Shankar Shivam Barwey Zico Kolter R. Maulik V. Viswanathan AI4CE 22 4 0 03 May 2023
Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data Joseph L. Hart Mamikon A. Gulian Indu Manickam L. Swiler 6 8 0 20 Mar 2023
h-analysis and data-parallel physics-informed neural networks Paul Escapil-Inchauspé G. A. Ruz PINN AI4CE 15 2 0 17 Feb 2023
SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets Julian Suk Christoph Brune J. Wolterink 22 10 0 17 Feb 2023
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall Julian Suk P. D. Haan Phillip Lippe Christoph Brune J. Wolterink 10 20 0 09 Dec 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 35 82 0 07 Sep 2022
Physics-Informed Deep Neural Operator Networks S. Goswami Aniruddha Bora Yue Yu George Karniadakis PINN AI4CE 18 96 0 08 Jul 2022
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs Mengjia Xu Apoorva Vikram Singh George Karniadakis AI4CE 42 6 0 28 Sep 2021
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 90 271 0 20 Apr 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 365 0 09 Feb 2021
$NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework$ NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework O. Hennigh S. Narasimhan M. A. Nabian Akshay Subramaniam Kaustubh Tangsali M. Rietmann J. Ferrandis Wonmin Byeon Z. Fang S. Choudhry PINN AI4CE 85 112 0 14 Dec 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 104 503 0 11 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,696 0 15 Sep 2016
Statistical topological data analysis using persistence landscapes Peter Bubenik 94 842 0 27 Jul 2012