Physics-informed neural networks for predicting high-strain-rate energy absorption in additively manufactured lattice materials
Veera Siva Reddy Bobbili, C. Chandrasekhara Sastry, J. Krishnaiah, Arif Rahman, S. Surya Kumar, N.S. Reddy
Topics & Concepts
InterpretabilityArtificial neural networkOverfittingMaterials scienceLattice (music)StiffnessArtificial intelligenceRepresentation (politics)Topology (electrical circuits)Computer scienceBulk modulusModuliCoupling (piping)AlgorithmMultiscale modelingModulusBiological systemHydrostatic pressureMechanical engineeringScalingHydrostatic equilibriumYoung's modulusNetwork topologyGeneralizationStructural engineeringElasticity (physics)Statistical physicsSplit-Hopkinson pressure barModel Reduction and Neural NetworksAdditive Manufacturing Materials and ProcessesMachine Learning in Materials Science