R

SME 2022 Presentations

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.

The utility of Bayesian data reconciliation for separations

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

Introducing the BayesMassBal Package for R

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