DeCost, Brian

1. Probing out-of-distribution generalization in machine learning for materials
   2024/06/10 by Kangming Li, Andre Niyongabo Rubungo, Li, Kangming +13 · 7 citations
   Computer Science · #FOS: Physical sciences #Machine Learning and Algorithms #Machine Learning and Data Classification #Materials Science (cond-mat.mtrl-sci)
2. Scientific AI in materials science: a path to a sustainable and scalable paradigm
   2020/03/18 by DeCost, Brian, Hattrick-Simpers, Jason, Trautt, Zachary +3 · 3 citations
   #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
3. Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks
   2023/09/12 by Md Habibur Rahman, Rahman, Md Habibur, Prince Gollapalli +13 · 3 citations
   Materials Science · Energy · #Machine Learning in Materials Science #Electron and X-Ray Spectroscopy Techniques #CO2 Reduction Techniques and Catalysts
4. Towards automated design of corrosion resistant alloy coatings with an autonomous scanning droplet cell
   2022/03/31 by DeCost, Brian, Joress, Howie, Sarker, Suchismita +2 · 1 citation
   #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)