activity
20192026
most citedOn-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

549 citations · 662 across the 9 of their papers we have counts for

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5 papers · 1 filter

cond-mat.mtrl-sci2023★ 18 cited

YbVSb and EuVSb, vanadium-based kagome metals with Yb and Eu zig-zag chains

Brenden R. Ortiz, Ganesh Pokharel, Malia Gundayao +14

Here we present YbVSb and EuVSb, two new compounds exhibiting slightly distorted vanadium-based kagome nets interleaved with zig-zag chains of divalent Yb an…

cond-mat.mtrl-sci2022★ 15 cited

Mapping Thermoelectric Transport in a Multicomponent Alloy Space

Ramya Gurunathan, Suchismita Sarker, Christopher K. H. Borg +4

Interest in high entropy alloy thermoelectric materials is predicated on achieving ultralow lattice thermal conductivity through large compositional disorder. However, h…

cond-mat.mtrl-sci2022

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…

cond-mat.mtrl-sci2020★ 549 cited

On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

A. Gilad Kusne, Heshan Yu, Changming Wu +13

Active learning - the field of machine learning (ML) dedicated to optimal experiment design, has played a part in science as far back as the 18th century when Laplace used it to gu…

cond-mat.mtrl-sci2019★ 45 cited

A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al

Howie Joress, Brian L. DeCost, Suchismita Sarker +7

Based on a set of machine learning predictions of glass formation in the Ni-Ti-Al system, we have undertaken a high-throughput experimental study of that system. We utilized rapid…