Machine Learning Based Cyclic Voltammetry Behavior Model

By Dr. Owais Ahmed Malik


MACHINE LEARNING BASED CYCLIC VOLTAMMERY BEHAVIOR MODEL FOR SUPERCAPACITANCE OF CO-DOPED CERIA/RGO NANOCOMPOSITE

  • Aims & Objectives: To model the cyclic voltammetry behavior for supercapacitance of co-doped Ceria/rGO nanocomposite using machine learning techniques (Artificial neural network, Random Forest)
  • Duration – January 2018 – November 2018
  • Collaborator – Chemical Sciences, FOS, UBD
  • Output – Machine Learning Model, SCOPUS indexed publication