LoRA training and PPL evaluation on a technical dataset (gold mining, gold extraction, hydrometallurgy, flotation, metallurgy)

Jumeau numérique d'un centre de tri DEEE à l'aide de MATLAB/Simulink SimEvents & Stateflow KPI dashboard | Hydrometallurgy

This repository contains machine learning models for predicting the degree of SiO2 extraction from iron ore tailings using aqueous solution of ammonium bifluoride (NH4HF2). The prediction models take into account three key parameters: temperature, reaction time, and NH4HF2 concentration.

Formalizing hydrometallurgical leach-circuit dynamics.

Computed density, viscosity and heat capacity grids for industrial process chemicals in aqueous solution. CC BY 4.0.