Litcius/Paper detail

Thermodynamically consistent Recurrent Neural Networks to predict non linear behaviors of dissipative materials subjected to non-proportional loading paths

Aymen Danoun, Étienne Prulière, Yves Chemisky

2022Mechanics of Materials40 citationsDOI

Topics & Concepts

Dissipative systemRecurrent neural networkWork (physics)Artificial neural networkMaterials scienceComputer scienceStatistical physicsApplied mathematicsMathematicsThermodynamicsPhysicsArtificial intelligenceMachine Learning in Materials ScienceModel Reduction and Neural NetworksHydrogen embrittlement and corrosion behaviors in metals