Litcius/Paper detail

A gradient-enhanced physics-informed neural network (gPINN) scheme for the coupled non-fickian/non-fourierian diffusion-thermoelasticity analysis: A novel gPINN structure

Katayoun Eshkofti, Seyed Mahmoud Hosseini

2023Engineering Applications of Artificial Intelligence20 citationsDOI

Topics & Concepts

Artificial neural networkComputer scienceRelaxation (psychology)Partial differential equationApplied mathematicsFick's laws of diffusionDifferential equationSensitivity (control systems)DiffusionPhysicsMathematical analysisMathematicsArtificial intelligenceElectronic engineeringThermodynamicsPsychologySocial psychologyEngineeringModel Reduction and Neural NetworksThermoelastic and Magnetoelastic PhenomenaNanofluid Flow and Heat Transfer
A gradient-enhanced physics-informed neural network (gPINN) scheme for the coupled non-fickian/non-fourierian diffusion-thermoelasticity analysis: A novel gPINN structure | Litcius