Cover Image

Physics-Informed Neural Network based Damage Identification for Truss Railroad Bridges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shajihan, Althaf, Mechitov, Kirill, Chowdhary, Girish, Spencer Jr, Billie F.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evidential Physics-Informed Neural Networks
by: Tan, Hai Siong, et al.
Published: (2025)

DiffGrad for Physics-Informed Neural Networks
by: Rahman, Jamshaid Ul, et al.
Published: (2024)

Unveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be?
by: Urbán, Jorge F., et al.
Published: (2024)

Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks
by: Naujoks, Jonas R., et al.
Published: (2025)

DeepSRGM -- Sequence Classification and Ranking in Indian Classical Music with Deep Learning
by: Madhusudhan, Sathwik Tejaswi, et al.
Published: (2024)

PINNfluence: Influence Functions for Physics-Informed Neural Networks
by: Naujoks, Jonas R., et al.
Published: (2024)

Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences
by: Alam, Md Mahbub, et al.
Published: (2025)

Supervised Metric Regularization Through Alternating Optimization for Multi-Regime Physics-Informed Neural Networks
by: Spotorno, Enzo Nicolas, et al.
Published: (2026)

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles
by: Flores, Pablo, et al.
Published: (2025)

Complex Physics-Informed Neural Network
by: Si, Chenhao, et al.
Published: (2025)

Physics-Informed Neural Networks and Extensions
by: Raissi, Maziar, et al.
Published: (2024)

Revealing the Power of Masked Autoencoders in Traffic Forecasting
by: Sun, Jiarui, et al.
Published: (2023)

Comparative Study of Bending Analysis using Physics-Informed Neural Networks and Numerical Dynamic Deflection in Perforated nanobeam
by: Garai, Ramanath, et al.
Published: (2026)

Densely Multiplied Physics Informed Neural Networks
by: Jiang, Feilong, et al.
Published: (2024)

Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports
by: Anno, Soto, et al.
Published: (2024)

Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
by: Hossain, Tanvir, et al.
Published: (2024)

Physics-Informed Graph Neural Networks for Water Distribution Systems
by: Ashraf, Inaam, et al.
Published: (2024)

Improved Training of Physics-Informed Neural Networks with Model Ensembles
by: Haitsiukevich, Katsiaryna, et al.
Published: (2022)

Lightweight Geometric Adaptation for Training Physics-Informed Neural Networks
by: An, Kang, et al.
Published: (2026)

Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
by: Mazandarani, Mehran, et al.
Published: (2025)

Physics-Informed Graph Neural Networks to Reconstruct Local Fields Considering Finite Strain Hyperelasticity
by: Garban, Manuel Ricardo Guevara, et al.
Published: (2025)

Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
by: Kiyani, Elham, et al.
Published: (2025)

Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction
by: Wang, Yu, et al.
Published: (2025)

Physics-Informed Neural Network Surrogate Models for River Stage Prediction
by: Zoch, Maximilian, et al.
Published: (2025)

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
by: Miranda, Miro, et al.
Published: (2024)

GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks
by: Ranasinghe, Nisal, et al.
Published: (2024)

Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning
by: Pirayeshshirazinezhad, Reza
Published: (2026)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
by: Hasan, Mohammad Junayed, et al.
Published: (2023)

Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
by: Kong, Chun-Wei, et al.
Published: (2024)

Empirical Stability Analysis of Kolmogorov-Arnold Networks in Hard-Constrained Recurrent Physics-Informed Discovery
by: Spotorno, Enzo Nicolas, et al.
Published: (2026)

MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation
by: Woehrle, Thomas, et al.
Published: (2024)

Spectral Informed Neural Network: An Efficient and Low-Memory PINN
by: Yu, Tianchi, et al.
Published: (2024)

Feature Entanglement-based Quantum Multimodal Fusion Neural Network
by: Wu, Yu, et al.
Published: (2026)

Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction
by: Zhang, Huiwen, et al.
Published: (2026)

iPINNER: An Iterative Physics-Informed Neural Network with Ensemble Kalman Filter
by: Lu, Binghang, et al.
Published: (2025)

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks
by: Jiang, Feilong, et al.
Published: (2025)

Limitations of Physics-Informed Neural Networks: a Study on Smart Grid Surrogation
by: Cestero, Julen, et al.
Published: (2025)

Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning
by: Ganguly, Abhisek, et al.
Published: (2026)

SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
by: Jiang, Zheng, et al.
Published: (2025)

Drug Release Modeling using Physics-Informed Neural Networks
by: Qureshi, Daanish Aleem, et al.
Published: (2026)