Published October 1, 2025 | Supplemental material
Journal Article Open

High-performance MOF electrode for supercapacitors with enhanced quantum capacitance through optimal multi-metal integration

  • 1. ROR icon Iran University of Science and Technology
  • 2. ROR icon Western University
  • 3. ROR icon Sharif University of Technology
  • 4. ROR icon California Institute of Technology

Abstract

As the demand for high-performance energy storage surges, supercapacitors (SCs) have become vital due to their high-power density, rapid charge/discharge cycles, and long lifespans. In this study, we present an innovative in-situ synthesis method for multi-metallic MOF-74 with optimized Mn/Co ratios directly grown on nickel foam (NF). This substrate acts not only as an electrode but also contributes nickel ions during synthesis, forming a synergistic MnCoNiMOF-74 composite. Electrochemical tests in a three-electrode system show that the 3:1 Mn/Co electrode achieves an impressive areal capacity of 4390 mF cm−2 at 2 mA cm−2. The microporous structure, enriched with various metals, minimizes ion transport resistance, enhancing electrochemical activity. First-principles density functional theory (DFT) simulations indicate that the 3:1 Mn/Co ratio yields the highest quantum capacitance of 4752 μF cm−2, demonstrating strong electronic interactions among metal centers, which improve electron density around the fermi level. Notably, the MnCoNiMOF-74/NF electrode exhibits excellent cycle stability, maintaining performance even after 10,000 charge-discharge cycles at 10 mA cm−2. The MnCoNiMOF-74/NF (3:1)//AC asymmetric supercapacitor (ASC) device exhibits a high energy density of 75.8 Wh kg−1 at 533 W kg−1, with stable charge storage (640 mF cm−2 at 2 mA cm−2) and well-matched redox kinetics, ensuring reliable performance for energy storage applications. The proposed electrode demonstrates exceptional stability, high capacity, and quantum insights, offering a scalable and efficient solution for energy storage technologies. These attributes make it highly promising for the future of advanced SCs and their practical applications in energy systems.

Copyright and License

© 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Acknowledgement

Our gratitude goes out to the Iran University of Science and Technology (IUST) for providing us with some facilities and materials. In this study, no specific grants were received from public, commercial, or non-profit funding agencies.

Supplemental Material

Supplementary data (DOCX)

Files

Files (5.1 MB)
Name Size Download all
md5:16ac005154ab2d547c7d4a3904d44703
5.1 MB Download

Additional details

Created:
June 24, 2025
Modified:
June 24, 2025