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

collaborators

9 papers

cs.DL2026

FOXDEN: FAIR Services for AI-Ready Scientific Datasets

Valentin Kuznetsov, Werner M. Sun, Keara Soloway +5

Scientific datasets are most compatible with AI workflows when they are described by rich, machine-readable metadata and provenance information, following the FAIR guiding principl…

cs.HC2026

Large Data Acquisition and Analytics at Synchrotron Radiation Facilities

Aashish Panta, Giorgio Scorzelli, Amy A. Gooch +11

Synchrotron facilities like the Cornell High Energy Synchrotron Source (CHESS) generate massive data volumes from complex beamline experiments, but face challenges such as limited…

cond-mat.supr-con2024

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…

cond-mat.str-el2023★ 35 cited

Frustrated charge order and cooperative distortions in ScV6Sn6

Ganesh Pokharel, Brenden R. Ortiz, Linus Kautzsch +7

Here we study the stability of charge order in the kagome metal ScV6Sn6. Synchrotron x-ray diffraction measurements reveal high-temperature, short-range charge correlations at the…

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…