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Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction
Published on: April 10, 2018
Recent Advances and Perspectives of Metal Clusters for Electrochemical Nitrogen Reduction
Khalid Aljohani1, Terigelema Hao2, Irshad Ahamd3
1Department of Mechanical Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Abstract:
The rapid intensification of anthropogenic nitrogen cycle perturbations and the energy-intensive nature of Haber-Bosch process have motivated the pursuit of sustainable routes for ammonia synthesis. Electrocatalytic nitrogen reduction reaction (NRR) represents a compelling strategy to convert inert N2 into NH3, yet its practical realization remains constrained by formidable activation barriers, sluggish kinetics, and strong competition from hydrogen evolution reaction. Well-defined metal clusters have emerged as a distinctive catalytic platform, offering tunable electronic structures and active motifs that bridge the gap between single-atom catalysts and nanoparticles. Our review establishes a unified framework for understanding cluster-enabled NRR, beginning with the physicochemical principles of N2 activation, including orbital interactions, reaction energetics, and key activity descriptors, while considering electrolyte and proton-coupled effects. We then analyze cluster characteristics such as size-dependent electronic behavior, geometric configurations, and support interactions, highlighting their implications for catalytic selectivity. A systematic overview of electrocatalytic platforms is presented, including metal clusters, bimetallic systems, heterostructures, and nitrogenase-inspired architectures, followed by critical perspectives on reproducibility, durability, and future development pathways. Looking ahead, the integration of operando characterization, theoretical modeling, and scalable synthesis is expected to accelerate the rational development of efficient and reliable cluster-based NRR systems.
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