About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
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Symposium
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Hume-Rothery Symposium on Connecting Macroscopic Materials Properties to Their Underlying Electronic Structure: The Role of Theory, Computation, and Experiment
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Presentation Title |
Computational Design of Alloy Nanocatalysts |
Author(s) |
Tim Mueller |
On-Site Speaker (Planned) |
Tim Mueller |
Abstract Scope |
Alloy nanoparticles are promising catalysts due to their high surface-to-volume ratios and structural flexibility. Catalytic properties can be optimized by modifying the size, shape, and atomic order of the nanoalloys. However the variety of possible structures also poses a significant challenge for the rational design of catalysts. I will demonstrate how this challenge can be addressed by using density functional theory (DFT) calculations and cluster expansions to understand the properties of nanoalloy catalysts and guide synthesis efforts. With a focus on Pt-Ni catalysts for the oxygen reduction reaction, I will show how DFT calculations, combined with experimental analysis, provide an explanation for how nanoparticle stability can be improved by alloying with Cu. I will also present novel computationally-generated size-composition catalytic activity maps of Pt-Ni nanoparticles. These maps reveal the nanoparticle sizes and compositions that are predicted to maximize catalytic activity, an important step towards the rational design of alloy nanocatalysts. |
Proceedings Inclusion? |
Planned: |
Keywords |
Computational Materials Science & Engineering, Nanotechnology, Energy Conversion and Storage |