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.