Search results: Sage Journals

Restricted accessResearch articleFirst published November, 2023

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

Restricted accessResearch articleFirst published April, 2026

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

Restricted accessResearch articleFirst 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

Restricted accessResearch articleFirst published April, 2026

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

Restricted accessResearch articleFirst published 2026

Experimental and physics-informed machine learning analysis of an adaptive thermoelectric-assisted cooling system for electric and hybrid vehicle battery thermal management

Himanshu Sharma, Ravindra Randa, Gaurav Saxena [...]

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

Restricted accessResearch articleFirst published August, 2024

Structural seismic responses prediction using the gradient-enhanced hybrid PINN

Chenxi Xing, Zidong Xu, Hao Wang

Advances in Structural Engineering

Restricted accessResearch articleFirst published November, 2025

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

Restricted accessResearch articleFirst published July, 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

Restricted accessResearch articleFirst published July, 2025

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

Kazuhiro Fujita

International Journal of Applied Electromagnetics and Mechanics

Restricted accessResearch articleFirst published May, 2024

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

Xiande Wei

Journal of Vibration and Control

Restricted accessResearch articleFirst published November, 2023

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

Restricted accessResearch articleFirst published April, 2026

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

Restricted accessResearch articleFirst 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

Restricted accessResearch articleFirst published April, 2026

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

Restricted accessResearch articleFirst published 2026

Experimental and physics-informed machine learning analysis of an adaptive thermoelectric-assisted cooling system for electric and hybrid vehicle battery thermal management

Himanshu Sharma, Ravindra Randa, Gaurav Saxena [...]

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

Restricted accessResearch articleFirst published August, 2024

Structural seismic responses prediction using the gradient-enhanced hybrid PINN

Chenxi Xing, Zidong Xu, Hao Wang

Advances in Structural Engineering

Restricted accessResearch articleFirst published November, 2025

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

Restricted accessResearch articleFirst published July, 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

Restricted accessResearch articleFirst published July, 2025

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

Kazuhiro Fujita

International Journal of Applied Electromagnetics and Mechanics

Restricted accessResearch articleFirst published May, 2024

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

Xiande Wei

Journal of Vibration and Control