Investigation of graphite oxidation kinetics in MgO–C composite via artificial neural network approach

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Project Goal

In investigation of graphite oxidation kinetics in MgO–C composite via artificial neural network approach, MATLAB Neural Netwoek toolkit was used to train a neural network model. The model then used to interpolate data to study and understand the oxidation kinetics of graphite.

Project Details

  • Investigation of graphite oxidation kinetics in MgO–C composite via artificial neural network approach was a side project during my M.S. at Sharif University of Technology, with the purpose of using machine learning techniques to understand oxidation kinetics phenomena.
  • Language used: MATLAB and Neural Network Toolkit