Brian DeCost

Orcid: 0000-0002-3459-5888

According to our database1, Brian DeCost authored at least 10 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
AtomVision: A Machine Vision Library for Atomistic Images.
J. Chem. Inf. Model., March, 2023

Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning.
CoRR, 2023

Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison.
CoRR, 2023

Self-driving Multimodal Studies at User Facilities.
CoRR, 2023

2021
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping.
CoRR, 2021

Uncertainty Prediction for Machine Learning Models of Material Properties.
CoRR, 2021

2020
Scientific AI in materials science: a path to a sustainable and scalable paradigm.
Mach. Learn. Sci. Technol., 2020

2018
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks.
CoRR, 2018

High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel.
CoRR, 2018

2017
Building Data-driven Models with Microstructural Images: Generalization and Interpretability.
CoRR, 2017


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