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Synthesis of Bimetallic Pt/Sn-based Nanoparticles in Ionic Liquids
Published on: August 23, 2018
Atomic Surface Segregation and Structural Characterization of PdPt Bimetallic Nanoparticles
Carlos A Rodríguez-Proenza1, Juan P Palomares-Báez2, Marco A Chávez-Rojo3
1Posgrado en Ciencia e Ingeniería de Materiales, Centro de Física Aplicada y Tecnología Avanzada, Universidad Nacional Autónoma de México, Campus Juriquilla, Santiago de Querétaro 76230, Qro., Mexico. carlosalbertorodriguezproenza@gmail.com.
Palladium-platinum (PdPt) alloyed nanoparticles were synthesized and characterized, revealing an alloy structure. Molecular dynamics simulations explored their structural stability and surface segregation trends.
Area of Science:
- Materials Science
- Nanotechnology
- Catalysis
Background:
- Bimetallic nanoparticles exhibit unique properties due to synergistic effects.
- Their catalytic performance often surpasses monometallic counterparts.
- Nanoparticle structure is influenced by synthesis and component miscibility.
Purpose of the Study:
- Synthesize and characterize Palladium-Platinum (PdPt) alloyed nanoparticles.
- Investigate the structural stability and surface segregation of PdPt nanoparticles using simulations.
- Understand the relationship between synthesis, structure, and properties.
Main Methods:
- Polyol method for synthesizing PdPt alloyed-bimetallic nanoparticles (NPs).
- Spherical aberration (Cs)-corrected scanning transmission electron microscopy (STEM) for characterization.
- High-angle annular dark-field (HAADF)-STEM imaging.
- Molecular dynamics (MD) simulations for structural stability and segregation analysis.
Main Results:
- PdPt alloyed NPs were successfully synthesized with an average size of 8.2 nm.
- HAADF-STEM images confirmed an alloy structure.
- MD simulations provided insights into structural stability and atomic surface segregation trends.
Conclusions:
- The polyol method is effective for creating PdPt alloyed nanoparticles.
- The synthesized nanoparticles possess an alloyed structure.
- MD simulations are valuable for predicting nanoparticle behavior and stability.
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