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Brian L. DeCost

Carnegie Mellon University

27

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690

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Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping

2021 arXiv: Materials Science
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Autonomous Materials Research and Discovery at the Beamline

2021 Bulletin of the American Physical Society
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Scientific AI in materials science: a path to a sustainable and scalable paradigm

2020 arXiv: Materials Science
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JARVIS: An Integrated Infrastructure for Data-driven Materials Design

2020 arXiv: Materials Science
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Scientific AI in materials science: a path to a sustainable and scalable paradigm

2020
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On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

2020 arXiv: Materials Science
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A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al

2019 arXiv: Materials Science
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Computer Vision for Microstructural Image Representation: Methods and Applications

2019
- Brian L. DeCost
- Elizabeth A. Holm
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High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel

2019 Microscopy and Microanalysis
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Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks.

2018 arXiv: Data Analysis, Statistics and Probability
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