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Found 3 papers, 1 papers with code
Development of Non-Linear Equations for Predicting Electrical Conductivity in Silicates
Electrical conductivity is of fundamental importance in electric arc furnaces (EAF) and the interaction of this phenomenon with the process slag results in energy losses and low optimization.
Artificial neural networks for predicting the viscosity of lead-containing glasses
The viscosity of lead-containing glasses is of fundamental importance for the manufacturing process, and can be predicted by algorithms such as artificial neural networks.
Viskositas: Viscosity Prediction of Multicomponent Chemical Systems
Viscosity in the metallurgical and glass industry plays a fundamental role in its production processes, also in the area of geophysics.
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