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Brian DeCost — most-cited papers & profile · AI for Science
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Brian DeCost
4
papers ·
3
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks
2023 · 2 citations
Emulating Expert Insight: A Robust Strategy for Optimal Experimental Design
2023 · 1 citations
Scientific AI in materials science: a path to a sustainable and scalable paradigm
2020
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison
2023
Top co-authors
Kamal Choudhary
· 2
Aaron Kusne
· 1
Arun Mannodi‐Kanakkithodi
· 1
Bruce Ravel
· 1
Chandima Fernando
· 1
Daniel Olds
· 1
Eva Campo and Martin Green
· 1
Francesca Tavazza
· 1
Ghanshyam Pilania
· 1
Howie Joress
· 1
Hyeong Jin Kim
· 1
Jason Hattrick-Simpers
· 1
Topics
Materials
Physics ML
Chemistry
Protein Science