ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.08064
  4. Cited By
Physics-Informed Machine Learning: A Survey on Problems, Methods and
  Applications
v1v2 (latest)

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

15 November 2022
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
    PINNAI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications"

50 / 72 papers shown
Unlocking the Invisible Urban Traffic Dynamics under Extreme Weather: A New Physics-Constrained Hamiltonian Learning Algorithm
Unlocking the Invisible Urban Traffic Dynamics under Extreme Weather: A New Physics-Constrained Hamiltonian Learning Algorithm
Xuhui Lin
Qiuchen Lu
114
0
0
03 Dec 2025
Spatiotemporal Satellite Image Downscaling with Transfer Encoders and Autoregressive Generative Models
Spatiotemporal Satellite Image Downscaling with Transfer Encoders and Autoregressive Generative Models
Yang Xiang
Jingwen Zhong
Yige Yan
Petros Koutrakis
Eric Garshick
Meredith Franklin
69
0
0
01 Dec 2025
Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials
Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials
Marius Tacke
Matthias Busch
Kian P. Abdolazizi
Jonas Eichinger
K. Linka
C. Cyron
R. Aydin
AI4CE
167
0
0
01 Dec 2025
Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI
Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI
Yoh-ichi Mototake
Makoto Sasaki
PINNAI4CE
392
0
0
06 Nov 2025
Position: Biology is the Challenge Physics-Informed ML Needs to Evolve
Position: Biology is the Challenge Physics-Informed ML Needs to Evolve
Julien Martinelli
AI4CE
167
1
0
29 Oct 2025
Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
Hong Wang
Jie Wang
Jian Luo
Huanshuo Dong
Yeqiu Chen
Runmin Jiang
Zhen Huang
188
0
0
27 Oct 2025
Accelerating IC Thermal Simulation Data Generation via Block Krylov and Operator Action
Accelerating IC Thermal Simulation Data Generation via Block Krylov and Operator Action
Hong Wang
Wenkai Yang
Jie Wang
Huanshuo Dong
Zijie Geng
Zhen Huang
Depeng Xie
Zhezheng Hao
Hande Dong
AI4CE
164
0
0
27 Oct 2025
Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks
Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks
Jostein Barry-Straume
Adwait D. Verulkar
A. Sarshar
Andrey A. Popov
Adrian Sandu
120
0
0
21 Oct 2025
Deep Neural ODE Operator Networks for PDEs
Deep Neural ODE Operator Networks for PDEs
Ziqian Li
Kang Liu
Yongcun Song
Hangrui Yue
Enrique Zuazua
AI4CE
183
0
0
17 Oct 2025
Physics-Informed Neural Controlled Differential Equations for Scalable Long Horizon Multi-Agent Motion Forecasting
Physics-Informed Neural Controlled Differential Equations for Scalable Long Horizon Multi-Agent Motion Forecasting
Shounak Sural
Charles Kekeh
Wenliang Liu
Federico Pecora
Mouhacine Benosman
AI4CE
205
0
0
01 Oct 2025
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
Siyang Li
Yize Chen
Yan Guo
Ming Huang
Hui Xiong
AI4CEAI4TS
178
0
0
29 Sep 2025
SoC-DT: Standard-of-Care Aligned Digital Twins for Patient-Specific Tumor Dynamics
SoC-DT: Standard-of-Care Aligned Digital Twins for Patient-Specific Tumor Dynamics
Moinak Bhattacharya
Gagandeep Singh
Prateek Prasanna
201
0
0
29 Sep 2025
Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation
Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation
Yichi Zhang
Yao Huang
Yifan Wang
Yitong Sun
Chang-rui Liu
...
Xiao Yang
Xingxing Wei
Hang Su
Yinpeng Dong
Jun Zhu
239
3
0
21 Aug 2025
Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theory
Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theory
Johann Licher
Max Bartholdt
Henrik Krauss
Tim-Lukas Habich
Thomas Seel
Moritz Schappler
222
5
0
18 Aug 2025
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
Keyon Vafa
Peter G. Chang
Ashesh Rambachan
S. Mullainathan
771
28
0
09 Jul 2025
Inverse Design in Nanophotonics via Representation Learning
Inverse Design in Nanophotonics via Representation Learning
Reza Marzban
Ali Adibi
Raphael Pestourie
211
1
0
01 Jul 2025
Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks
Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks
Jonas R. Naujoks
Aleksander Krasowski
Moritz Weckbecker
Galip Umit Yolcu
Thomas Wiegand
Sebastian Lapuschkin
Wojciech Samek
R. P. Klausen
TDIPINNAI4CE
319
1
0
19 Jun 2025
NeuroPhysNet: A FitzHugh-Nagumo-Based Physics-Informed Neural Network Framework for Electroencephalograph (EEG) Analysis and Motor Imagery Classification
NeuroPhysNet: A FitzHugh-Nagumo-Based Physics-Informed Neural Network Framework for Electroencephalograph (EEG) Analysis and Motor Imagery Classification
Zhenyu Xia
Xinlei Huang
Yuantong Gu
Suvash C. Saha
160
0
0
16 Jun 2025
A Survey of Physics-Informed AI for Complex Urban Systems
A Survey of Physics-Informed AI for Complex Urban Systems
En Xu
Huandong Wang
Yunke Zhang
Sibo Li
Yinzhou Tang
...
Yuming Lin
Yuan Yuan
Xiaochen Fan
Jingtao Ding
Yong Li
AI4CE
226
7
0
09 Jun 2025
Graph-Based Operator Learning from Limited Data on Irregular Domains
Graph-Based Operator Learning from Limited Data on Irregular Domains
Yile Li
Shandian Zhe
AI4CE
293
0
0
25 May 2025
Generative Latent Neural PDE Solver using Flow Matching
Generative Latent Neural PDE Solver using Flow Matching
Zijie Li
Anthony Zhou
Amir Barati Farimani
DiffMAI4CE
413
17
0
28 Mar 2025
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation
Yuta Yahagi
Kiichi Obuchi
Fumihiko Kosaka
Kota Matsui
331
2
0
20 Mar 2025
FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement
FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object PlacementComputer Vision and Pattern Recognition (CVPR), 2025
Ian Huang
Yanan Bao
Karen Truong
Howard Zhou
Cordelia Schmid
Leonidas Guibas
Alireza Fathi
3DV
235
2
0
06 Mar 2025
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
Takeshi Koshizuka
Issei Sato
AI4CE
693
2
0
31 Jan 2025
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
Jian Cheng Wong
Abhishek Gupta
Chin Chun Ooi
P. Chiu
Jiao Liu
Yew-Soon Ong
PINNAI4CE
404
0
0
11 Jan 2025
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems
Josue N. Rivera
Dengfeng Sun
312
0
0
02 Nov 2024
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic
  Programming
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming
Xiaoran Cheng
Sen Na
PINN
307
1
0
16 Sep 2024
PIETRA: Physics-Informed Evidential Learning for Traversing
  Out-of-Distribution Terrain
PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution TerrainIEEE Robotics and Automation Letters (RA-L), 2024
Xiaoyi Cai
James Queeney
Tong Xu
A. Datar
Chenhui Pan
...
Ashton Flather
Philip R. Osteen
Nicholas Roy
Xuesu Xiao
Jonathan P. How
215
24
0
04 Sep 2024
Domain-decoupled Physics-informed Neural Networks with Closed-form
  Gradients for Fast Model Learning of Dynamical Systems
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical SystemsInternational Conference on Informatics in Control, Automation and Robotics (ICINCO), 2024
Henrik Krauss
Tim-Lukas Habich
Max Bartholdt
Thomas Seel
Moritz Schappler
PINNAI4CE
419
6
0
27 Aug 2024
Physics-Informed Machine Learning for Grade Prediction in Froth
  Flotation
Physics-Informed Machine Learning for Grade Prediction in Froth FlotationMinerals Engineering (Miner. Eng.), 2024
Mahdi Nasiri
Sahel Iqbal
Simo Särkkä
AI4CE
245
11
0
12 Aug 2024
PINNs for Medical Image Analysis: A Survey
PINNs for Medical Image Analysis: A Survey
C. Banerjee
Kien Nguyen
Olivier Salvado
Truyen Tran
Clinton Fookes
AI4CE
312
10
0
02 Aug 2024
FINER++: Building a Family of Variable-periodic Functions for Activating
  Implicit Neural Representation
FINER++: Building a Family of Variable-periodic Functions for Activating Implicit Neural Representation
Hao Zhu
Zhen Liu
Qi Zhang
Jingde Fu
Weibing Deng
Zhan Ma
Yanwen Guo
Xun Cao
224
9
0
28 Jul 2024
SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity
  Prediction
SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction
Seungyeon Choi
Sangmin Seo
Sanghyun Park
261
1
0
10 Jul 2024
PAPM: A Physics-aware Proxy Model for Process Systems
PAPM: A Physics-aware Proxy Model for Process Systems
Pengwei Liu
Zhongkai Hao
Xingyu Ren
Hangjie Yuan
Jiayang Ren
Dong Ni
AI4CEPINN
282
1
0
07 Jul 2024
Fourier Controller Networks for Real-Time Decision-Making in Embodied
  Learning
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
Hengkai Tan
Songming Liu
Kai Ma
Chengyang Ying
Xingxing Zhang
Hang Su
Jun Zhu
389
3
0
30 May 2024
RoPINN: Region Optimized Physics-Informed Neural Networks
RoPINN: Region Optimized Physics-Informed Neural NetworksNeural Information Processing Systems (NeurIPS), 2024
Haixu Wu
Huakun Luo
Yuezhou Ma
Jianmin Wang
Mingsheng Long
AI4CE
223
29
0
23 May 2024
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
Gradient Flow Based Phase-Field Modeling Using Separable Neural NetworksComputer Methods in Applied Mechanics and Engineering (CMAME), 2024
R. Mattey
Susanta Ghosh
AI4CE
266
3
0
09 May 2024
Neural Parameter Regression for Explicit Representations of PDE Solution
  Operators
Neural Parameter Regression for Explicit Representations of PDE Solution Operators
Konrad Mundinger
Max Zimmer
Sebastian Pokutta
356
1
0
19 Mar 2024
Can physical information aid the generalization ability of Neural
  Networks for hydraulic modeling?
Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?
Gianmarco Guglielmo
A. Montessori
J. Tucny
M. Rocca
P. Prestininzi
AI4CE
156
5
0
13 Mar 2024
From Spectra to Biophysical Insights: End-to-End Learning with a Biased
  Radiative Transfer Model
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model
Yihang She
Clement Atzberger
Andrew Blake
Srinivasan Keshav
167
1
0
05 Mar 2024
Discovering Artificial Viscosity Models for Discontinuous Galerkin
  Approximation of Conservation Laws using Physics-Informed Machine Learning
Discovering Artificial Viscosity Models for Discontinuous Galerkin Approximation of Conservation Laws using Physics-Informed Machine Learning
Matteo Caldana
P. Antonietti
Luca Dede'
AI4CEPINN
256
5
0
26 Feb 2024
Deep adaptive sampling for surrogate modeling without labeled data
Deep adaptive sampling for surrogate modeling without labeled data
Xili Wang
Keju Tang
Jiayu Zhai
Xiaoliang Wan
Chao Yang
216
8
0
17 Feb 2024
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning
  (PIML) Methods: Towards Robust Metrics
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics
Michael Penwarden
H. Owhadi
Robert M. Kirby
AI4CE
230
4
0
16 Feb 2024
Sobolev Training for Operator Learning
Sobolev Training for Operator Learning
Namkyeong Cho
Junseung Ryu
Hyung Ju Hwang
138
3
0
14 Feb 2024
Physics-Encoded Graph Neural Networks for Deformation Prediction under
  Contact
Physics-Encoded Graph Neural Networks for Deformation Prediction under ContactIEEE International Conference on Robotics and Automation (ICRA), 2024
Mahdi Saleh
Michael Sommersperger
Nassir Navab
F. Tombari
AI4CE
227
11
0
05 Feb 2024
Accelerating PDE Data Generation via Differential Operator Action in
  Solution Space
Accelerating PDE Data Generation via Differential Operator Action in Solution Space
Huanshuo Dong
Hong Wang
Haoyang Liu
Jian Luo
Jie Wang
AI4CE
256
14
0
04 Feb 2024
Preconditioning for Physics-Informed Neural Networks
Preconditioning for Physics-Informed Neural Networks
Songming Liu
Yan Yu
J. Yao
Zhongkai Hao
Hang Su
Youjia Wu
Jun Zhu
AI4CEPINN
265
8
0
01 Feb 2024
When Geoscience Meets Generative AI and Large Language Models:
  Foundations, Trends, and Future Challenges
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
Abdenour Hadid
Tanujit Chakraborty
Daniel Busby
AI4CE
318
34
0
25 Jan 2024
Understanding Learning through the Lens of Dynamical Invariants
Understanding Learning through the Lens of Dynamical Invariants
Alex Ushveridze
133
1
0
19 Jan 2024
Accelerating Data Generation for Neural Operators via Krylov Subspace
  Recycling
Accelerating Data Generation for Neural Operators via Krylov Subspace RecyclingInternational Conference on Learning Representations (ICLR), 2024
Hong Wang
Zhongkai Hao
Jie Wang
Zijie Geng
Zhen Wang
Bin Li
Fengli Wu
323
14
0
17 Jan 2024
12
Next
Page 1 of 2