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Research article

First published 2026-3

Low-thrust strategies in orbital pursuit-evasion games with rendezvous constraints: A PINNs-Based approach

Cheng-ming Zhang, Yan-wei Zhu, Le-ping Yang

Proceedings of the Institution of Mechanical Engineers,Part G: Journal of Aerospace Engineering

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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 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 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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Review article

First published 2017-11

Outcomes Following Isolated Posterior Interosseous Nerve Neurectomy: A Systematic Review

Dennis J. Vanden Berge, Nicholas A. Kusnezov, Sydney Rubin [...]

HAND

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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 2025

Investigation of magnetized slip flow of hybrid nanofluid past nonlinearly radiative sheet with Newtonian heating: Physics informed neural network simulation

MD. Majibul Hassan Imran, Shakil Mojumdar, Mohammed Jashim Uddin

Proceedings of the Institution of Mechanical Engineers,Part N: Journal of Nanomaterials,Nanoengineering and Nanosystems

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Book review

First published 2026-3

Anthony B. Pinn,Conversations on Humanity and Creativity

Robin Gill

Theology

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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 2025-10

An interpretable unsupervised fault diagnosis method for rolling bearings based on physically-informed pseudo-label updating

Shijing Cao, Yuxin Duan, Jin Huang

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

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