Machine learning-optimized bimetallic MOF/MXene composite with improved supercapacitor performance

New Journal of Chemistry 2026

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Authors: S. AHMAD, Muhammad Ali Khan, Ameer Hamza, Hafiz Muhammad Asif, Aqsa, Farhan Zafar, Muhammad Sohail
DOI: 10.1039/d5nj03839a
Cited by: 3
References: 59

Abstract

Machine learning optimizes the Co–Zn–MXene ratios to design a CoZn-ZIF@MXene composite with enhanced charge transport, delivering high specific capacitance and energy density for advanced supercapacitors.

Fields of Study & Subjects

MXene and MAX Phase Materials Supercapacitor Materials and Fabrication Advanced Memory and Neural Computing

Publication details

Journal / source
New Journal of Chemistry
Publisher
Royal Society of Chemistry (RSC)
Volume
50
Issue
12
Pages
5395–5403
Publication date
1 January 2026
Language
EN