3 papers
cond-mat.mtrl-sci2026
Citrine Informatics: Chemical & Materials Development Platform
Maxwell C. Venetos, Steven J. Brown, Kenneth Kroenlein +6
Today the Citrine Platform regularly powers data-driven materials discovery across industries, having moved beyond one-off demonstrations into routine industrial practice. Getting…
cs.LG2026
AI-Guided Design and Optimization of Graphite-Based Anodes via Iterative Experimental Feedback
Qian Du, Mark M. Sullivan, James E. Saal +1
This study presents an iterative AI-guided workflow that accelerates graphite-based anode development by improving both formulation feasibility and process robustness. Sequential l…
cs.LG2026
HUGO-CS: A Hybrid-Labeled, Uncertainty-Aware, General-Purpose, Observational Dataset for Cold Spray
Stephen Price, Kyle Miller, Marco Musto +5
Cold spraying is an increasingly common approach for repairing and manufacturing components due to its solid-state manufacturing capabilities. However, process optimization remains…