5 citations · 5 across the 2 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation
Andrew Ritchhart, Sarah I. Allec, Pravalika Butreddy +5
We present a multi-agentic workflow for critical materials recovery that deploys a series of AI agents and automated instruments to recover critical materials from produced water a…
cs.AI2025★ 5 cited
Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop
Lance Yao, Suman Samantray, Ayana Ghosh +4
The history of science is punctuated by serendipitous discoveries, where unexpected observations, rather than targeted hypotheses, opened new fields of inquiry. While modern autono…
cond-mat.dis-nn2025
Active and transfer learning with partially Bayesian neural networks for materials and chemicals
Sarah I. Allec, Maxim Ziatdinov
Active learning, an iterative process of selecting the most informative data points for exploration, is crucial for efficient characterization of materials and chemicals property s…