9 citations · 12 across the 3 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…
cond-mat.dis-nn2025★ 9 cited
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…
cs.LG2024★ 3 cited
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data
Maxim Ziatdinov
Active learning optimizes the exploration of large parameter spaces by strategically selecting which experiments or simulations to conduct, thus reducing resource consumption and p…