2 papers
eess.IV2021
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…
physics.comp-ph2020
One-dimensional moving window atomistic framework to model long-time shock wave propagation
Alexander Davis, Vinamra Agrawal
We develop a long-time moving window framework using Molecular Dynamics (MD) to model shock wave propagation through a one-dimensional chain of atoms. The domain is divided into a…