2023
DOI: 10.3390/met13071269
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Puzzles of Surface Segregation in Binary Pt–Pd Nanoparticles: Molecular Dynamics and Thermodynamic Simulations

Vladimir Samsonov,
Alexander Romanov,
Igor Talyzin
et al.

Abstract: Up till now, there have been extremely contradictory opinions and inadequate results concerning surface segregation in binary platinum–palladium (Pt–Pd) nanoparticles, including the problems regarding segregating components, as well as the size and temperature dependences of segregation. Taking into account such a situation, we investigated the surface segregation in Pt–Pd nanoparticles by combining atomistic (molecular dynamics) and thermodynamic simulations. For molecular dynamics experiments, the well-known… Show more

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Cited by 12 publications
(3 citation statements)
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References 92 publications
(189 reference statements)
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“…Eventually, as can be seen in Figure 1 , Pt atoms in excess are located inside the hexagonal stacking fault islands. The surface segregation of palladium is consistent with previous numerical simulations 37 40 and experiments. 41 44 To our knowledge, the stability of any of these structures at the DFT level was never proven.…”
Section: Results and Discussionsupporting
confidence: 90%
See 1 more Smart Citation
“…Eventually, as can be seen in Figure 1 , Pt atoms in excess are located inside the hexagonal stacking fault islands. The surface segregation of palladium is consistent with previous numerical simulations 37 40 and experiments. 41 44 To our knowledge, the stability of any of these structures at the DFT level was never proven.…”
Section: Results and Discussionsupporting
confidence: 90%
“…Eventually, as can be seen in Figure , Pt atoms in excess are located inside the hexagonal stacking fault islands. The surface segregation of palladium is consistent with previous numerical simulations and experiments. To our knowledge, the stability of any of these structures at the DFT level was never proven. In the following section, we derive the new series of magic numbers for these structures, referring to Figure for a schematic visualization of the proof.…”
Section: Results and Discussionsupporting
confidence: 87%
“…Atomic simulations provide detailed insights into material equilibrium structures, thermodynamic properties, and dynamic processes at the atomic scale, primarily through methods such as molecular statics, molecular dynamics (MD), and Monte Carlo (MC) simulations [1][2][3][4]. One of the most challenging aspects of atomic simulations lies in analyzing the vast amounts of generated data [3].…”
Section: Introductionmentioning
confidence: 99%