Toward a Paradigm Shift in Electrocatalysis Using Complex Solid Solution Nanoparticles

By T. Löffler, A. Savan, Alba Garzón-Manjón, Michael Meischein, C. Scheu, A. Ludwig, W. Schuhmann. ACS Energy Letters, 2019

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Complex solid solution (CSS) nanoparticles were recently discovered as efficient electrocatalysts for a variety of reactions. As one of many advantages, they exhibit the potential to replace noble-metal catalysts with multinary combinations of transition metals because they offer formation of new unique and tailorable active sites of multiple elements located next to each other. This Perspective reports on the current state and on challenges of the (combinatorial) synthesis of multinary nanoparticles and advanced electron microscopy characterization techniques for revealing structure–activity correlations on an atomic scale. We discuss what distinguishes this material class from common catalysts to highlight their potential to act as electrocatalysts and rationalize their nontypical electrochemical behavior. We provide an overview about challenges in synthesis, characterization, and electrochemical evaluation and propose guidelines for future design of CSS catalysts to achieve further progress in this res...

Subfields: Electrical and Electronic Engineering, Electrochemistry, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/bc79d0c045e0ef1d55051d0ede6a235261e98cea

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Citations in the corpus

High-Entropy Alloys as Catalysts for the CO2 and CO Reduction Reactions (2019, methodology): “Here, CORR selectivity (x) is defined as the proportion of sites with ∆EH∗ ≥ ∆ECuH∗ and CORR activity (y) as the proportion of sites with ∆EH∗ ≥ ∆ECuH∗ times the proportion of sites with ∆E∗CO ≤ ∆ECu∗CO.”
High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery (2022, background): “Because of the unique binding energy distribution, high-entropy nanoparticles can be readily tuned to obtain the desired surface properties for optimal catalytic performance (28, 40, 62).”