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Brian L. DeCost
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 4
Top Topics
Deep Learning
Mass Spectrometry
Guide Wire
Raw Data
Top Venues
CoRR
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Publications
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Phillip M. Maffettone
,
Daniel B. Allan
,
Stuart I. Campbell
,
Matthew R. Carbone
,
Thomas A. Caswell
,
Brian L. DeCost
,
Dmitri Gavrilov
,
Marcus D. Hanwell
,
Howie Joress
,
Joshua K. Lynch
,
Bruce Ravel
,
Stuart B. Wilkins
,
Jakub Wlodek
,
Daniel Olds
Self-driving Multimodal Studies at User Facilities.
CoRR
(2023)
A. Gilad Kusne
,
Austin McDannald
,
Brian L. DeCost
,
Corey Oses
,
Cormac Toher
,
Stefano Curtarolo
,
Apurva Mehta
,
Ichiro Takeuchi
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping.
CoRR
(2021)
Felipe Oviedo
,
Zekun Ren
,
Shijing Sun
,
Charlie Settens
,
Zhe Liu
,
Noor Titan Putri Hartono
,
Ramasamy Savitha
,
Brian L. DeCost
,
Siyu I. P. Tian
,
Giuseppe Romano
,
Aaron Gilad Kusne
,
Tonio Buonassisi
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks.
CoRR
(2018)
Brian L. DeCost
,
Toby Francis
,
Elizabeth A. Holm
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel.
CoRR
(2018)