Transfer learning based multi-fidelity physics informed deep neural network

19 May 2020

Papers citing "Transfer learning based multi-fidelity physics informed deep neural network"

50 / 60 papers shown

Title
Multi-level datasets training method in Physics-Informed Neural Networks Yao-Hsuan Tsai Hsiao-Tung Juan Pao-Hsiung Chiu Chao-An Lin AI4CE 39 0 0 30 Apr 2025
Adaptive Physics-informed Neural Networks: A Survey Edgar Torres Jonathan Schiefer Mathias Niepert PINN AI4CE 65 0 0 23 Mar 2025
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation Yizheng Wang Jinshuai Bai M. Eshaghi C. Anitescu X. Zhuang Timon Rabczuk Yinghua Liu AI4CE 64 1 0 02 Feb 2025
Graph Laplacian-based Bayesian Multi-fidelity Modeling Orazio Pinti Jeremy M. Budd Franca Hoffmann Assad A. Oberai 37 1 0 12 Sep 2024
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid Subhankar Sarkar Souvik Chakraborty 27 0 0 01 Sep 2024
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads Andrea Vaiuso Gabriele Immordino Marcello Righi A. Ronch AI4CE 48 0 0 08 Jul 2024
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN) Chenhao Si Ming Yan AI4CE PINN 41 3 0 05 Jun 2024
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space Rasoul Najafi Koopas Shahed Rezaei N. Rauter Richard Ostwald R. Lammering AI4CE 48 4 0 03 May 2024
PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators Mudit Chopra Abhinav Barnawal Harshil Vagadia Tamajit Banerjee Shreshth Tuli Souvik Chakraborty Rohan Paul LRM PINN 54 0 0 22 Apr 2024
Multi-Fidelity Methods for Optimization: A Survey Ke Li Fan Li AI4CE 35 6 0 15 Feb 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks Sizhuang He Bowen Li Yuhan Chen P. Perdikaris AI4CE PINN 26 29 0 01 Feb 2024
Sparse discovery of differential equations based on multi-fidelity Gaussian process Yuhuang Meng Yue Qiu 64 0 0 22 Jan 2024
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws Liu Yang Stanley J. Osher AI4CE 48 19 0 14 Jan 2024
Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning Abdul Hannan Mustajab Hao Lyu Z. Rizvi Frank Wuttke AI4CE PINN 20 9 0 05 Jan 2024
A foundational neural operator that continuously learns without forgetting Tapas Tripura Souvik Chakraborty CLL 50 8 0 29 Oct 2023
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling Yi-Ping Chen Liwei Wang Yigitcan Comlek Wei Chen 27 10 0 05 Oct 2023
DPA-WNO: A gray box model for a class of stochastic mechanics problem Tushar Souvik Chakraborty DiffM 26 3 0 24 Sep 2023
An Expert's Guide to Training Physics-informed Neural Networks Sizhuang He Shyam Sankaran Hanwen Wang P. Perdikaris PINN 28 99 0 16 Aug 2023
Training Deep Surrogate Models with Large Scale Online Learning Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin 3DGS AI4CE 30 4 0 28 Jun 2023
Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning Yuwen Deng Wang Kang Wei W. Xing OOD AI4CE 42 0 0 12 Jun 2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior Shashank Subramanian P. Harrington Kurt Keutzer W. Bhimji Dmitriy Morozov Michael W. Mahoney A. Gholami AI4CE 39 72 0 01 Jun 2023
In-Context Operator Learning with Data Prompts for Differential Equation Problems Liu Yang Siting Liu Tingwei Meng Stanley J. Osher 40 60 0 17 Apr 2023
iPINNs: Incremental learning for Physics-informed neural networks Aleksandr Dekhovich M. Sluiter David Tax Miguel A. Bessa AI4CE DiffM 20 10 0 10 Apr 2023
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data Orazio Pinti Assad A. Oberai 23 0 0 29 Mar 2023
Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models Sokratis J. Anagnostopoulos Jens Bauer M. Clare M. Piggott 16 8 0 28 Mar 2023
Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations Wenqian Chen P. Stinis OOD AI4CE 38 7 0 21 Mar 2023
Physics informed WNO N. N. Tapas Tripura S. Chakraborty 33 28 0 12 Feb 2023
Discovering interpretable Lagrangian of dynamical systems from data Tapas Tripura S. Chakraborty 27 4 0 09 Feb 2023
TransNet: Transferable Neural Networks for Partial Differential Equations Zezhong Zhang F. Bao L. Ju Guannan Zhang 16 3 0 27 Jan 2023
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network Yunyang Zhang Zhiqiang Gong Weien Zhou Xiaoyu Zhao Xiaohu Zheng W. Yao AI4CE 23 24 0 17 Jan 2023
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs Ritam Majumdar Vishal Sudam Jadhav A. Deodhar Shirish S. Karande L. Vig Venkataramana Runkana PINN 22 5 0 20 Dec 2022
A PINN Approach to Symbolic Differential Operator Discovery with Sparse Data Lena Podina Brydon Eastman Mohammad Kohandel PINN 33 5 0 09 Dec 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 50 91 0 15 Nov 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey Shudong Huang Wentao Feng Chenwei Tang Jiancheng Lv AI4CE AIMat 32 18 0 27 Oct 2022
Surrogate Modeling-Driven Physics-Informed Multi-fidelity Kriging: Path Forward to Digital Twin Enabling Simulation for Accident Tolerant Fuel Kazuma Kobayashi James Daniell S. Usman Dinesh Kumar S. B. Alam AI4CE 18 7 0 13 Oct 2022
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System M. Rahman Abid Khan Sayeed Anowar Md. Al Imran Richa Verma Dinesh Kumar Kazuma Kobayashi S. B. Alam AI4CE 13 15 0 30 Sep 2022
Learning governing physics from output only measurements Tapas Tripura S. Chakraborty 28 1 0 11 Aug 2022
Multi-fidelity wavelet neural operator with application to uncertainty quantification A. Thakur Tapas Tripura S. Chakraborty 35 12 0 11 Aug 2022
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow Adam Subel Yifei Guan Ashesh Chattopadhyay Pedram Hassanzadeh AI4CE 35 41 0 07 Jun 2022
Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations Michael D. Vander Wal R. McClarren K. Humbird AI4CE 22 4 0 28 May 2022
Wavelet neural operator: a neural operator for parametric partial differential equations Tapas Tripura S. Chakraborty 22 63 0 04 May 2022
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems Amanda A. Howard M. Perego G. Karniadakis P. Stinis AI4CE 44 53 0 19 Apr 2022
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems Shailesh Garg Harshit Gupta S. Chakraborty 19 16 0 31 Jan 2022
Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification A. Thakur S. Chakraborty MedIm 39 4 0 19 Jan 2022
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification Sai Krishna Mendu S. Chakraborty BDL AI4CE 30 1 0 08 Nov 2021
A deep learning based surrogate model for stochastic simulators Ak Thakur S. Chakraborty 11 12 0 24 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 35 92 0 19 Oct 2021
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data Aishwarya Sarkar Jien Zhang Chaoqun Lu Ali Jannesari AI4CE 28 2 0 02 Oct 2021
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems Shailesh Garg S. Chakraborty B. Hazra 46 20 0 01 Sep 2021
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations Y. Kumar S. Chakraborty 27 8 0 24 Aug 2021