1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
A Foundation Model for Material Fracture Prediction
Agnese Marcato, Aleksandra Pachalieva, Ryley G. Hill +14
Accurately predicting when and how materials fail is critical to designing safe, reliable structures, mechanical systems, and engineered components that operate under stress. Yet,…
cond-mat.mtrl-sci2024
Ductile fracture in functionally graded materials: Insight into crack behavior within the gradient interface
Katherine Piper, Vinamra Agrawal
Despite advances in manufacturing making metal functionally graded materials (FGMs) more common, numerical methods for predicting fracture in ductile functionally graded materials…
cs.CE2024★ 1 cited
Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations
Roberto Perera, Vinamra Agrawal
Mesh-based Graph Neural Networks (GNNs) have recently shown capabilities to simulate complex multiphysics problems with accelerated performance times. However, mesh-based GNNs requ…