Work

Machine Learning-Assisted Electrode Material Fabrication and Electrochemical Efficiency Prediction and Validation of PANI-Ni/Co Hydroxide Nanocomposites

Year: 2023

Type: article

Source: ACS Sustainable Chemistry & Engineering

DOI: 10.1021/acssuschemeng.3c04415

Authors: Arpit Mendhe, Himanshu Sekhar Panda

Institution: Defence Institute of Advanced Technology

Language: English

Topic: Supercapacitor Materials and Fabrication

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4388941833

FWCI: 1.988

Cites: 49

Cited by: 33

Related to: 10