180 citations · 521 across the 10 of their papers we have counts for
4 papers · 1 filter
Overcoming data scarcity with transfer learning
Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons +3
Despite increasing focus on data publication and discovery in materials science and related fields, the global view of materials data is highly sparse. This sparsity encourages tra…
Building Data-driven Models with Microstructural Images: Generalization and Interpretability
Julia Ling, Maxwell Hutchinson, Erin Antono +3
As data-driven methods rise in popularity in materials science applications, a key question is how these machine learning models can be used to understand microstructure. Given the…
On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems
Nicolas Offermans, Oana Marin, Michel Schanen +7
The present work is targeted at performing a strong scaling study of the high-order spectral element fluid dynamics solver Nek5000. Prior studies indicated a recommendable metric f…
High-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates
Julia Ling, Max Hutchinson, Erin Antono +2
The optimization of composition and processing to obtain materials that exhibit desirable characteristics has historically relied on a combination of scientist intuition, trial and…