Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective

Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective

5 January 2024

Papers citing "Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective"

9 / 9 papers shown

Title
Node Assigned physics-informed neural networks for thermal-hydraulic system simulation: CVH/FL module Jeesuk Shin Cheolwoong Kim Sunwoong Yang Minseo Lee S. J. Kim J. Jeon 22 0 0 23 Apr 2025
Solving Oscillator Ordinary Differential Equations via Soft-constrained Physics-informed Neural Network with Small Data Kai-liang Lu Yu-meng Su Zhuo Bi Cheng Qiu Wen-jun Zhang PINN 17 0 0 19 Aug 2024
Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN Subhajit Patra Sonali Panda B. K. Parida Mahima Arya Kurt Jacobs Denys I. Bondar Abhijit Sen 24 10 0 25 Jul 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 30 4 0 06 Jun 2024
PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs Simone Brivio S. Fresca Andrea Manzoni AI4CE 30 6 0 14 May 2024
Loss Landscape Engineering via Data Regulation on PINNs Vignesh Gopakumar Stanislas Pamela D. Samaddar PINN 23 16 0 16 May 2022
Efficient training of physics-informed neural networks via importance sampling M. A. Nabian R. J. Gladstone Hadi Meidani DiffM PINN 69 218 0 26 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 39 489 0 09 Feb 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015