Machine Learning Based Cyclic Voltammetry Behavior Model
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