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Research article

First published 2026

Inverse physics-informed neural networks for fault diagnosis of friction pair in axial piston pump under imbalanced samples

Yan Chu, Yuan Chang, Hesheng Tang

Measurement and Control

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Research article

First published 2023-11

On the use of Fourier Features-Physics Informed Neural Networks (FF-PINN) for forward and inverse fluid mechanics problems

Omar Sallam, Mirjam Fürth

Proceedings of the Institution of Mechanical Engineers,Part M: Journal of Engineering for the Maritime Environment

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Research article

First published 2025-4

Inverse problems in hydrodynamics lubrication: Parameter identification in the Reynold equation by using physics-informed neural networks

Yinhu Xi, Rongkun Sun

Proceedings of the Institution of Mechanical Engineers,Part J: Journal of Engineering Tribology

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Research article

First published 2026

Domain-decomposition physics-informed neural network approach for the acoustic boundary impedance estimation of a combustion chamber model

Aoqi Li, Jingtao Du, Yang Liu

Journal of Vibration and Control

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Research article

First published 2025-2

Predicting and explaining nonlinear material response using deep physically guided neural networks with internal variables

Jacobo Ayensa-Jiménez, Javier Orera-Echeverría, Manuel Doblare

Mathematics and Mechanics of Solids

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Research article

First published 2007-7

Solving inverse problems using Particle Swarm Optimization: An application to aircraft fuel measurement considering sensor failure

Kai Hu, Samuel H. Huang

Intelligent Data Analysis: An International Journal

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Research article

First published 2008-05

Scalable and Invertible PMNN Model for MagnetoRheological Fluid Dampers

M. Cao, K.W. Wang, Kwang Y. Lee

Journal of Vibration and Control

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Research article

First published 2024-9

Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring

Sakib Ashraf Zargar, Fuh-Gwo Yuan

Structural Health Monitoring

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Research article

First published 2025-7

Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference

Jice Zeng, Michael D. Todd, Zhao Zhao [...]

Structural Health Monitoring

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Research article

First published 2026

Hierarchical Bayesian inference for multiscale plasticity and damage with neural network surrogate models

Koffi Enakoutsa, Yuelian Li

Mathematics and Mechanics of Solids

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