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Updated: May 15, 2025

Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production
Published on: December 6, 2021
Modulation of Hydrogen Evolution Reaction Performance of MXenes by Doped Transition Metals: Comprehensive Exploration
Sen Lu1,2, Zhiguo Wang1,2, Zhikai Gao1,2
1School of Mechanical Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi 723001, China.
Transition metal doping enhances MXenes for hydrogen evolution reaction (HER) catalysis. A predictive model rapidly identified Nb, Sc, Rh, W, Ti, and V as effective dopants for efficient HER catalysts.
Area of Science:
- Materials Science
- Catalysis
- Computational Chemistry
Background:
- MXenes possess unique properties suitable for catalytic applications.
- Transition metal (TM) doping can modulate MXene catalytic performance, particularly for the hydrogen evolution reaction (HER).
- The vast combinatorial space of potential dopants hinders rapid catalyst screening.
Purpose of the Study:
- To investigate the effect of transition metal doping on MXene properties for HER.
- To develop a predictive model for rapid screening of HER catalysts.
- To identify effective dopant atoms for enhancing MXene-based HER catalysis.
Main Methods:
- High-throughput calculations were performed on doped Ti3CNO2 and Zr2HfCNO2 structures.
- Analysis of local and electronic structure changes influenced by doping.
- Development and application of a multisite prediction model (R² = 0.97) for hydrogen adsorption Gibbs free energy (ΔGH*).
Main Results:
- Specific TM dopants (Nb, Sc, Rh, W, Ti, V) significantly improved HER properties, achieving |ΔGH*| < 0.2 eV for over 38 MXene structures.
- The multisite prediction model accurately predicted trends in hydrogen adsorption free energy.
- Doping with Nb, Sc, Rh, W, Ti, and V proved effective for enhancing catalytic ability.
Conclusions:
- Doped transition metals show significant potential for enhancing MXene performance in HER.
- Multisite prediction models are crucial for accelerating the discovery and development of efficient HER catalysts.
- This work provides a pathway for designing advanced MXene-based electrocatalysts.
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