Brian L DeCost

8PUBLICATIONS
17CO-AUTHORS
ElectrometallurgyCarbon capture engineering (excl. sequestration)Information extraction and fusionComputational imagingAdversarial machine learning
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Publications (8)

|Sep 10, 2026
Materials Acceleration Platform for Electrochemistry: a Platform for Autonomous Electrochemistry.

|Sep 12, 2025
Intrinsic direct air capture.

Austin McDannald, Daniel W Siderius, Brian DeCost

|Nov 10, 2023
Exploiting redundancy in large materials datasets for efficient machine learning with less data.

Kangming Li, Daniel Persaud, Kamal Choudhary

|Mar 01, 2023
AtomVision: A Machine Vision Library for Atomistic Images.

Kamal Choudhary, Ramya Gurunathan, Brian DeCost

|Aug 26, 2022
Leveraging Theory for Enhanced Machine Learning.

Debra J Audus, Austin McDannald, Brian DeCost

|Dec 13, 2021
Uncertainty Prediction for Machine Learning Models of Material Properties.

Francesca Tavazza, Brian DeCost, Kamal Choudhary

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Frequent Collaborators

5 joint publications

Kamal Choudhary

3 joint publications

Daniel Persaud

3 joint publications

Jason Hattrick-Simpers

2 joint publications

Austin McDannald