A gradient-enhanced physics-informed neural network (gPINN) scheme for the coupled non-fickian/non-fourierian diffusion-thermoelasticity analysis: A novel gPINN structure
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference96 articles.
1. Physics-informed neural network for modelling the thermochemical curing process of composite-tool systems during manufacture;Amini Niaki;Comput. Methods Appl. Mech. Eng.,2021
2. Artificial neural network methods for the solution of second order boundary value problems;Anitescu;Comput. Mater. Continua (CMC),2019
3. State–space modeling for control based on physics-informed neural networks;Arnold;Eng. Appl. Artif. Intell.,2021
4. Artificial neural networks approach for solving Stokes problem;Baymani;Appl. Math.,2010
5. Artificial neural network method for solving the Navier–Stokes equations;Baymani;Neural Comput. Appl.,2015
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