2 papers
cs.LG2026
Physics-Informed Coarsening for Multigrid Graph Neural Surrogates
Amir Bazzi, David Cardinaux, Ramy Nemer +3
Learning-based surrogates for partial differential equations have recently matched the accuracy of classical solvers while achieving orders-of-magnitude speedups, predominantly in…
physics.app-ph2024
Fatigue life prediction at mesoscopic scale of samples containing casting defects: A novel energy based non-local model
Arjun Kalkur Matpadi Raghavendra, Vincent Maurel, Lionel Marcin +1
Fatigue failure driven by stress gradients associated to casting defects was studied in two cast nickel-based superalloys. The experimental campaign revealed complex damage phenome…