Publications

Topics: Bayesian mass balancing of a separation process, using a Bayesian time series to analyze process steady state, Bayesian Optimization of a process with unknown dynamics, and active learning acquisition of process simulator data for calibration and prediction.

Thanks to those that attended the MPD: Chemical Processing: Modeling, Simulation, and Machine Learning for Hydrometallurgy sub session! The slides for Gaussian Process Modeling of Hydrometallurgical Separations with Uncertain Dynamics can be found here.

It’s been a busy summer and early fall. Earlier in the year I submitted an entry to the Society of Mining, Metallurgy & Exploration Mineral Processing Division Short Video Contest titled Optimization of a Metallurgical Process with Uncertain Dynamics.

Publication in Minerals Engineering overviewing the statistical theory and models available in the BayesMassBal V 1.0.0 R package.

Celebrating the initial release of statistical software useful for Bayesian data reconsciliation of chemical and particulate processes.

A model predicting steady state of rare earth elements in SX systems is proposed and successfully tested on real data.