Partial‐Single‐Atom, Partial‐Nanoparticle Composites Enhance Water Dissociation for Hydrogen Evolution
Year: 2020
Type: article
Abstract: The development of an efficient electrocatalyst toward the hydrogen evolution reaction (HER) is of significant importance in transforming renewable electricity to pure and clean hydrogen by water splitting. However, the construction of an active electrocatalyst with multiple sites that can promote the dissociation of water molecules still remains a great challenge. Herein, a partial‐single‐atom, partial‐nanoparticle composite consisting of nanosized ruthenium (Ru) nanoparticles (NPs) and individual Ru atoms as an energy‐efficient HER catalyst in alkaline medium is reported. The formation of this unique composite mainly results from the dispersion of Ru NPs to small‐size NPs and single atoms (SAs) on the Fe/N codoped carbon (Fe–N–C) substrate due to the thermodynamic stability. The optimal catalyst exhibits an outstanding HER activity with an ultralow overpotential (9 mV) at 10 mA cm−2 (η10), a high turnover frequency (8.9 H2 s−1 at 50 mV overpotential), and nearly 100% Faraday efficiency, outperforming the state‐of‐the‐art commercial Pt/C and other reported HER electrocatalysts in alkaline condition. Both experimental and theoretical calculations reveal that the coexistence of Ru NPs and SAs can improve the hydride coupling and water dissociation kinetics, thus synergistically enhancing alkaline hydrogen evolution performance.
Source: Advanced Science
Language: English
Field: Energy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $5,000
Funders: National Science Foundation, U.S. Department of Energy, Dow Chemical Company, DuPont, Northwestern University, Oregon State University, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Program of Shanghai Academic Research Leader, Division of Materials Research
Awards: G102163711, G1371558634, G1505794299, G2082730302, G2092157559, G262962599, G2980159964, G3145492201, G3589692066, G3627450498, G3954585026, 金属有机电极材料阴阳离子电化学协同储能机制研究与微观结构设计, G4626519523, G513797252, G5247983811, G6265856575, G6671297155, G6848031779, CAREER: First-principles Predictive Understanding of Chemical Order in Complex Concentrated Alloys: Structures, Dynamics, and Defect Characteristics, G7368700025, G8522281394, G880751848, G883078141, G969889393, G993121649
OpenAlex ID: W3110001212
