Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next

14 January 2022

S. Cuomo

Vincenzo Schiano Di Cola

Papers citing "Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next"

50 / 69 papers shown

Title
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation Wenqing Peng Zhi-Song Liu Michael Boy 24 0 0 08 May 2025
Physics-inspired Energy Transition Neural Network for Sequence Learning Zhou Wu Junyi An Baile Xu F. Shen Jian Zhao PINN 20 0 0 06 May 2025
Reduced-order structure-property linkages for stochastic metamaterials Hooman Danesh Maruthi Annamaraju T. Brepols Stefanie Reese Surya R. Kalidindi 15 0 0 02 May 2025
A general physics-constrained method for the modelling of equation's closure terms with sparse data Tian Chen Shengping Liu Li Liu Heng Yong PINN AI4CE 34 0 0 30 Apr 2025
Optimizing Hard Thresholding for Sparse Model Discovery Derek W. Jollie Scott G. McCalla 41 0 0 28 Apr 2025
Accelerating Multiscale Modeling with Hybrid Solvers: Coupling FEM and Neural Operators with Domain Decomposition Wei Wang Maryam Hakimzadeh Haihui Ruan Somdatta Goswami AI4CE 27 0 0 15 Apr 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 47 0 0 27 Mar 2025
Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks D. Veerababu Prasanta K. Ghosh 68 0 0 26 Mar 2025
High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise Yuchen Fang Javad Lavaei Katya Scheinberg 29 0 0 24 Mar 2025
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble Zongren Zou Zhicheng Wang George Karniadakis PINN AI4CE 65 2 0 08 Mar 2025
Artificial Intelligence in Reactor Physics: Current Status and Future Prospects Ruizhi Zhang Shengfeng Zhu K. Wang Ding She J. Argaud B. Bouriquet Qing Li Helin Gong AI4CE 39 0 0 04 Mar 2025
GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects Nathan Hoffman Cashen Diniz Dehao Liu T. Rodgers Anh Tran Mark Fuge AI4CE DiffM 46 0 0 18 Feb 2025
ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning Nilo Schwencke Cyril Furtlehner 64 1 0 14 Dec 2024
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning Alex Finkelstein Nikita Vladimirov Moritz Zaiss O. Perlman 31 1 0 10 Nov 2024
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows Stefan Wahl Armand Rousselot Felix Dräxler Ullrich Kothe Ullrich Köthe 24 0 0 25 Oct 2024
Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics Vineet Jagadeesan Nair PINN 35 0 0 10 Oct 2024
Metamizer: a versatile neural optimizer for fast and accurate physics simulations Nils Wandel Stefan Schulz Reinhard Klein PINN AI4CE 39 0 0 10 Oct 2024
Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound Michal Byra Piotr Jarosik P. Karwat Z. Klimonda M. Lewandowski 23 1 0 21 Sep 2024
Physics-informed kernel learning Nathan Doumèche Francis Bach Gérard Biau Claire Boyer PINN 29 2 0 20 Sep 2024
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 50 0 0 01 Sep 2024
Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer Georgios Is. Detorakis 16 0 0 21 Aug 2024
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT) Xu Yang Yangming Zhang Haofeng Chen Gang Ma Xiaojie Wang 19 0 0 25 Jul 2024
An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study Milad Ramezankhani A. Deodhar Rishi Parekh Dagnachew Birru AI4CE 38 3 0 20 Jun 2024
Solving Poisson Equations using Neural Walk-on-Spheres Hong Chul Nam Julius Berner Anima Anandkumar 20 3 0 05 Jun 2024
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains Yusuke Yamazaki Ali Harandi Mayu Muramatsu A. Viardin Markus Apel T. Brepols Stefanie Reese Shahed Rezaei AI4CE 26 12 0 21 May 2024
Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers Guglielmo Gattiglio Lyudmila Grigoryeva M. Tamborrino 27 1 0 20 May 2024
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks R. Mattey Susanta Ghosh AI4CE 38 1 0 09 May 2024
Discretization Error of Fourier Neural Operators S. Lanthaler Andrew M. Stuart Margaret Trautner 33 4 0 03 May 2024
Suppressing Modulation Instability with Reinforcement Learning Nikolay Kalmykov R. Zagidullin Oleg Y. Rogov Sergey Rykovanov Dmitry V. Dylov 14 0 0 05 Apr 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training Zhongkai Hao Chang Su Songming Liu Julius Berner Chengyang Ying Hang Su A. Anandkumar Jian Song Jun Zhu AI4TS AI4CE 22 21 0 06 Mar 2024
Approximation of Solution Operators for High-dimensional PDEs Nathan Gaby Xiaojing Ye 12 0 0 18 Jan 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay A. Atanasov Eduardo Montijano C. Sagüés 18 2 0 30 Dec 2023
SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space Oscar Dabrowski J. Falcone A. Klauser J. Songeon Michel Kocher B. Chopard François Lazeyras S. Courvoisier MedIm 8 1 0 20 Dec 2023
Time integration schemes based on neural networks for solving partial differential equations on coarse grids Xinxin Yan Zhideng Zhou Xiaohan Cheng Xiaolei Yang AI4TS AI4CE 13 0 0 16 Oct 2023
Exciton-Polariton Condensates: A Fourier Neural Operator Approach S. T. Sathujoda Yuan Wang Kanishk Gandhi 11 0 0 27 Sep 2023
Neural Stochastic Screened Poisson Reconstruction Silvia Sellán Alec Jacobson 3DV 25 5 0 21 Sep 2023
GaborPINN: Efficient physics informed neural networks using multiplicative filtered networks Xinquan Huang T. Alkhalifah 23 12 0 10 Aug 2023
Branched Latent Neural Maps M. Salvador Alison Lesley Marsden 30 4 0 04 Aug 2023
Physics-informed neural networks for blood flow inverse problems Jeremías Garay J. Dunstan S. Uribe F. Sahli Costabal PINN 16 3 0 02 Aug 2023
Rapid Flood Inundation Forecast Using Fourier Neural Operator Alexander Y. Sun Zhi Li Won-Bo Lee Qixing Huang B. Scanlon Clint Dawson AI4CE 17 11 0 29 Jul 2023
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics Rahul Sharma Y.B. Guo M. Raissi W. Guo PINN AI4CE 37 5 0 23 Jul 2023
Temporal Difference Learning for High-Dimensional PIDEs with Jumps Liwei Lu Hailong Guo Xueqing Yang Yi Zhu AI4CE 8 6 0 06 Jul 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 30 27 0 29 May 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 31 4 0 06 Apr 2023
Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility Jochen Stiasny Spyros Chatzivasileiadis PINN AI4CE 13 9 0 15 Mar 2023
Improving physics-informed neural networks with meta-learned optimization Alexander Bihlo PINN 26 18 0 13 Mar 2023
Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance Panos Pantidis Habiba Eldababy Christopher Miguel Tagle M. Mobasher 16 20 0 03 Mar 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 24 28 0 03 Mar 2023
Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries Pengfei Wen Z. Ye Yong Li Shaowei Chen Pu Xie Shuai Zhao 14 35 0 02 Jan 2023
Physics-informed Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media Salah A. Faroughi Ramin Soltanmohammad Pingki Datta S. K. Mahjour S. Faroughi 6 22 0 17 Dec 2022