Deep Learning in Deterministic Computational Mechanics

27 September 2023

L. Herrmann

Stefan Kollmannsberger

AI4CE

PINN

ArXiv PDF HTML

Papers citing "Deep Learning in Deterministic Computational Mechanics"

23 / 23 papers shown

Title
ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model Shahroz Khan K. Goucher-Lambert Konstantino Kostas P. Kaklis GAN 28 27 0 29 Apr 2023
Transfer Learning Enhanced Full Waveform Inversion Stefan Kollmannsberger Divya Singh L. Herrmann 18 5 0 22 Feb 2023
Spiking neural networks for nonlinear regression Alexander Henkes Jason Eshraghian Henning Wessels 31 26 0 06 Oct 2022
Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks S. Dong Jielin Yang 32 17 0 24 Jan 2022
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling A. Gruber M. Gunzburger L. Ju Zhu Wang GNN 27 62 0 05 Oct 2021
Data-driven Tissue Mechanics with Polyconvex Neural Ordinary Differential Equations Vahidullah Tac F. Sahli Costabal A. B. Tepole AI4CE 31 69 0 03 Oct 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 50 59 0 15 Sep 2021
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods B. Yan Bailian Chen D. Harp R. Pawar AI4CE 23 91 0 15 Jul 2021
Efficient training of physics-informed neural networks via importance sampling M. A. Nabian R. J. Gladstone Hadi Meidani DiffM PINN 69 222 0 26 Apr 2021
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients Yuyu Zhang Heng Chi Binghong Chen T. Tang L. Mirabella Le Song G. Paulino AI4CE 25 5 0 25 Apr 2021
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 101 274 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 39 494 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 91 126 0 14 Dec 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 203 2,282 0 18 Oct 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 122 508 0 11 Mar 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 422 0 10 Mar 2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang L. Kara AI4CE 95 168 0 05 Mar 2020
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction Houpu Yao Yi Gao Yongming Liu AI4CE 49 66 0 31 Jan 2020
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 84 206 0 10 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 173 597 0 22 Sep 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 160 1,122 0 25 Jul 2012