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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

Pavement Cracking Prediction Models Based on Deep Learning Physics-Informed Neural Network

Ali Taheri, John Sobanjo, Michael Elwardany

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2026

A pilot study assessing the feasibility of integrating PINNs in the biomedical curriculum

Pedro Navas, Sergio Blanco, Luis Nuñez [...]

International Journal of Mechanical Engineering Education

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Research article

First published 2025

Enhanced reliability optimisation using Levy Flight-Assisted Salp Swarm and Grey Wolf Hybridisation with physics-informed neural surrogates

Aditya Narayan Hati, Vinay Kumar, Danish Ali Khan [...]

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

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Research article

First published 2024-8

Structural seismic responses prediction using the gradient-enhanced hybrid PINN

Chenxi Xing, Zidong Xu, Hao Wang

Advances in Structural Engineering

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Research article

First published 2025-11

Predicting the fatigue life of additively manufactured AlSi10Mg alloy using a physics-informed neural network incorporating continuous damage mechanics

Qimin Wu, Haijie Wang, Bo Li

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2026

A multi-stage physics-informed neural network for fretting fatigue life prediction of aluminum alloy

Xin Li, Haiqing Guo, Xinyue Du

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2025-6

Intelligent vehicle trajectory tracking control based on physics-informed neural network dynamics model

Xiuchen Cao, Yingfeng Cai, Yicheng Li [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2025-7

Physics-Informed neural networks with transfer learning for space charge impedances in particle accelerators

Kazuhiro Fujita

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 2024-5

On the wave dispersion of a multi-scale hybrid nanocomposite microstructure via deep neural network technique

Xiande Wei

Journal of Vibration and Control

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