1 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
cs.AI2021★ 1 cited
Shedding some light on Light Up with Artificial Intelligence
Libo Sun, James Browning, Roberto Perera
The Light-Up puzzle, also known as the AKARI puzzle, has never been solved using modern artificial intelligence (AI) methods. Currently, the most widely used computational techniqu…
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…