journal article·2019-04-23Open access

Achieving Highly Durable Random Alloy Nanocatalysts through Intermetallic Cores

Jocelyn T. L. Gamler, Alberto Leonardi, Hannah M. Ashberry, Nicholas N. Daanen, Yaroslav Losovyj, Raymond R. Unocic, Michael Engel, Sara E. Skrabalak

ACS Nano· Volume 13· Issue 4

Abstract

Pt catalysts are widely studied for the oxygen reduction reaction, but their cost and susceptibility to poisoning limit their use. A strategy to address both problems is to incorporate a second transition metal to form a bimetallic alloy; however, the durability of such catalysts can be hampered by leaching of non-noble metal components. Here, we show that random alloyed surfaces can be stabilized to achieve high durability by depositing the alloyed phase on top of intermetallic seeds using a model system with PdCu cores and PtCu shells. Specifically, random alloyed PtCu shells were deposited on PdCu seeds that were either the atomically random face-centered cubic phase (FCC A1, Fm3m) or the atomically ordered CsCl-like phase (B2, Pm3m). Precise control over crystallite size, particle shape, and composition allowed for comparison of these two core@shell PdCu@PtCu catalysts and the effects of the core phase on electrocatalytic durability. Indeed, the nanocatalyst with the intermetallic core saw only an 18% decrease in activity after stability testing (and minimal Cu leaching), whereas the nanocatalyst with the random alloy core saw a 58% decrease (and greater Cu leaching). The origin of this enhanced durability was probed by classical molecular dynamics simulations of model catalysts, with good agreement between model and experiment. Although many random alloy and intermetallic nanocatalysts have been evaluated, this study directly compares random alloy and intermetallic cores for electrocatalysis with the enhanced durability achieved with the intermetallic cores likely general to other core@shell nanocatalysts.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrocatalysts for Energy Conversion · Fuel Cells and Related Materials · Advanced Memory and Neural Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington, Indiana 47405, United States

Institute for Multiscale Simulation, Friedrich-Alexander Universität Erlangen-Nürnberg, Cauerstraße 3, 91058 Erlangen, Germany

Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, Tennessee 37831, United States

Funding

Indiana University · Lilly Endowment · Deutsche Forschungsgemeinschaft · Basic Energy Sciences

References (45)

Show source-provided references
1. 10.1039/C6TA08580F10.1039/C6TA08580F ↗
2. 10.1038/nmat184010.1038/nmat1840 ↗
3. 10.1038/nchem.36710.1038/nchem.367 ↗
4. 10.1039/c2ee03590a10.1039/c2ee03590a ↗
5. 10.1039/C5NR02298C10.1039/C5NR02298C ↗
6. 10.1021/acs.chemrev.6b0021110.1021/acs.chemrev.6b00211 ↗
7. 10.1002/adma.20180156310.1002/adma.201801563 ↗
8. 10.1002/cnma.20170016710.1002/cnma.201700167 ↗
9. 10.1039/C5TA09368F10.1039/C5TA09368F ↗
10. 10.1021/nl501205j10.1021/nl501205j ↗
11. 10.1021/nn506387w10.1021/nn506387w ↗
12. 10.1039/c2cs35173k10.1039/c2cs35173k ↗
13. 10.1002/adma.20170412310.1002/adma.201704123 ↗
14. 10.1002/ange.20046233510.1002/ange.200462335 ↗
15. 10.1002/adma.20160599710.1002/adma.201605997 ↗
16. 10.1021/acs.nanolett.7b0223910.1021/acs.nanolett.7b02239 ↗
17. 10.1039/C5RA12291K10.1039/C5RA12291K ↗
18. 10.1038/nmat345810.1038/nmat3458 ↗
19. 10.1021/jacs.7b0351010.1021/jacs.7b03510 ↗
20. 10.1149/2.0381815jes10.1149/2.0381815jes ↗
21. 10.1021/ja053695i10.1021/ja053695i ↗
22. 10.1038/ncomms859410.1038/ncomms8594 ↗
23. 10.1021/jp051735z10.1021/jp051735z ↗
24. 10.1021/acsnano.6b0266910.1021/acsnano.6b02669 ↗
25. 10.1002/ange.20090524810.1002/ange.200905248 ↗
26. 10.1039/C4CP00585F10.1039/C4CP00585F ↗
27. 10.1016/j.susc.2008.10.02910.1016/j.susc.2008.10.029 ↗
28. 10.1021/acs.accounts.5b0030010.1021/acs.accounts.5b00300 ↗
29. 10.1002/cssc.20130040410.1002/cssc.201300404 ↗
30. 10.1038/nchem.62310.1038/nchem.623 ↗
31. 10.1002/anie.20110766810.1002/anie.201107668 ↗
32. 10.1023/A:101907320857510.1023/A:1019073208575 ↗
33. 10.1021/jp811185g10.1021/jp811185g ↗
34. 10.1016/j.susc.2009.10.00610.1016/j.susc.2009.10.006 ↗
35. XPS Interpretation of Platinum. https://xpssimplified.com/elements/platinum.php (accessed Jul 30, 2018).
36. 10.1021/nn301583g10.1021/nn301583g ↗
37. 10.1038/nmat366810.1038/nmat3668 ↗
38. 10.1002/anie.20090029310.1002/anie.200900293 ↗
39. 10.1006/jcph.1995.103910.1006/jcph.1995.1039 ↗
40. 10.1080/0950083900820649310.1080/09500839008206493 ↗
41. 10.1080/0950083910820599410.1080/09500839108205994 ↗
42. Kimura, Y.; Qi, Y.; Cagin, T.; Goddard, W. A. The Quantum Sutton-Chen Many-Body Potential for Properties of Fcc Metals Caltech ASCI Technical Report, 1998.
43. Leonardi A. · Zeitschrift für Krist. Proc. · 2011 · 1 · 37
44. 10.1107/S160057671601172910.1107/S1600576716011729 ↗
45. 10.1088/0965-0393/24/5/05500710.1088/0965-0393/24/5/055007 ↗