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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Rueck, M.; Garlyyev, B.; Mayr, F.; Bandarenka, A.S.; Gagliardi, A. 
Titel:
Oxygen Reduction Activities of Strained Platinum Core-Shell Electrocatalysts Predicted by Machine Learning 
Abstract:
Core-shell nanocatalyst activities are chiefly controlled by bimetallic material composition, shell thickness, and nanoparticle size. We present a machine learning framework predicting strain with site-specific precision to rationalize how strain on Pt core-shell nanocatalysts can enhance oxygen reduction activities. Large compressive strain on Pt@Cu and Pt@Ni induces optimal mass activities at 1.9 nm nanoparticle size. It is predicted that bimetallic Pt@Au and Pt@Ag have best mass activities at...    »
 
Zeitschriftentitel:
J. Phys. Chem. Lett. 2020, 11, XXX, 1773-1780 2020-02 
Jahr:
2020 
Jahr / Monat:
2020-02 
Quartal:
1. Quartal 
Monat:
Feb 
Seitenangaben Beitrag:
1-25 
Sprache:
en 
Verlag / Institution:
American Chemical Society ACS