Predicting thermodiffusion in an arbitrary binary liquid hydrocarbon mixtures using artificial neural networks

A previously presented neural network-based thermodiffusion model that was valid for n-alkane type components has been extended to predict the thermo-solutal diffusion in an arbitrary binary hydrocarbon mixture. The enhanced model uses additional input information about the binary system and is based on a significantly large database of thermodiffusion data. Apart from the development and validation with respect to an extensive set of …