48 citations · 59 across the 5 of their papers we have counts for
5 papers
Superconducting phase diagram in BiNi thin films the effects of Bi stoichiometry on superconductivity
Jihun Park, Jarryd A. Horn, Dylan J. Kirsch +10
The BiNi binary system has been of interest due to possible unconventional superconductivity aroused therein, such as time-reversal symmetry breaking in Bi/Ni bilayers or the…
A case study of multi-modal, multi-institutional data management for the combinatorial materials science community
Sarah I. Allec, Eric S. Muckley, Nathan S. Johnson +9
Although the convergence of high-performance computing, automation, and machine learning has significantly altered the materials design timeline, transformative advances in functio…
Quantifying the performance of machine learning models in materials discovery
Christopher K. H. Borg, Eric S. Muckley, Clara Nyby +4
The predictive capabilities of machine learning (ML) models used in materials discovery are typically measured using simple statistics such as the root-mean-square error (RMSE) or…
Towards automated design of corrosion resistant alloy coatings with an autonomous scanning droplet cell
Brian DeCost, Howie Joress, Suchismita Sarker +2
We present an autonomous scanning droplet cell platform designed for on-demand alloy electrodeposition and real-time electrochemical characterization for investigating the corrosio…
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping
A. Gilad Kusne, Austin McDannald, Brian DeCost +5
Application of artificial intelligence (AI), and more specifically machine learning, to the physical sciences has expanded significantly over the past decades. In particular, scien…