activity
20202025
most citedGraph neural networks for simulating crack coalescence and propagation in brittle materials

62 citations · 198 across the 13 of their papers we have counts for

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Showing 2021Show all

4 papers · 1 filter

cond-mat.mes-hall2021★ 7 cited

Moving window techniques to model shock wave propagation using the concurrent atomistic-continuum method

Alexander S. Davis, Jeffrey T. Lloyd, Vinamra Agrawal

Atomistic methods have successfully modeled different aspects of shock wave propagation in mate-rials over the past several decades, but they suffer from limitations which restrict…

cond-mat.mtrl-sci2021★ 62 cited

Graph neural networks for simulating crack coalescence and propagation in brittle materials

Roberto Perera, Davide Guzzetti, Vinamra Agrawal

High-fidelity fracture mechanics simulations of multiple microcracks interaction via physics-based models quickly become computationally expensive as the number of microcracks incr…

cond-mat.mes-hall2021★ 25 cited

Block structured adaptive mesh refinement and strong form elasticity approach to phase field fracture with applications to delamination, crack branching and crack deflection

Vinamra Agrawal, Brandon Runnels

Fracture is a ubiquitous phenomenon in most composite engineering structures, and is often the responsible mechanism for catastrophic failure. Over the past several decades, many a…

eess.IV2021★ 46 cited

Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images

Roberto Perera, Davide Guzzetti, Vinamra Agrawal

Additively manufactured metals exhibit heterogeneous microstructure which dictates their material and failure properties. Experimental microstructural characterization techniques g…