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cond-mat.mtrl-sci2022★ 1 cited
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks
Roberto Perera, Vinamra Agrawal
Despite their recent success, machine learning (ML) models such as graph neural networks (GNNs), suffer from drawbacks such as the need for large training datasets and poor perform…
cond-mat.mtrl-sci2022
Dynamic and adaptive mesh-based graph neural network framework for simulating displacement and crack fields in phase field models
Roberto Perera, Vinamra Agrawal
Fracture is one of the main causes of failure in engineering structures. Phase field methods coupled with adaptive mesh refinement (AMR) techniques have been widely used to model c…