Versatile Optimization of Chemical Ordering in Bimetallic Nanoparticles

Citation data:

The Journal of Physical Chemistry C, ISSN: 1932-7447, Vol: 121, Issue: 20, Page: 10803-10808

Publication Year:
2017
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Repository URL:
http://hdl.handle.net/10754/623253
DOI:
10.1021/acs.jpcc.6b11923
Author(s):
Kovács, Gábor, Kozlov, Sergey M., Neyman, Konstantin M.
Publisher(s):
American Chemical Society (ACS)
Tags:
Materials Science, Energy, Chemistry
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article description
Chemical ordering in bimetallic nanocrystallites can now be efficiently determined by density-functional calculations with the help of topological energy expressions. Herein, we deal with extending the usage of that computational scheme. We show that it enables one to structurally characterize bimetallic nanoparticles of less regular shapes than previously studied magic-type particles. In fcc Pd-Au particles of different shapes (cuboctahedral PdAu, CPdAu, cubic PdAu, and truncated octahedral PdAu), we identify the surface segregation of gold as the driving force to the lowest-energy chemical ordering. We applied the calculated descriptor values quantifying the segregation propensity of Au and energies of Pd-Au bonds in these ∼1.5 nm large particles to optimize and analyze the chemical ordering in 3.7-6 nm large Pd-Au particles. We also discuss how to predict the chemical ordering in nanoalloys at elevated temperatures. The present study paves the way to advanced structural investigations of nanoalloys to substantially accelerate their knowledge-driven engineering and manufacturing.

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