Guided immobilisation of single gold nanoparticles by chemical electron beam lithography

• Patrick A. Schaal and
• Ulrich Simon

Beilstein J. Nanotechnol. 2013, 4, 336–344, doi:10.3762/bjnano.4.39

• CASINO v2.48 (monte CArlo SImulation of electroN trajectory in sOlids) [28]. Therefore the following density values were used: ρ(Si) = 2.3290 g·cm−3 [29], ρ(SiO2) = 2.196 g·cm−3 [29], ρ(CSPETCS) = 1.35 g·cm−3 (estimation using density values of commercially available solutions). Schematic drawing of used

Size-dependent phase diagrams of metallic alloys: A Monte Carlo simulation study on order–disorder transitions in Pt–Rh nanoparticles

• Johan Pohl,
• Christian Stahl and
• Karsten Albe

Beilstein J. Nanotechnol. 2012, 3, 1–11, doi:10.3762/bjnano.3.1

• parameters. Concentration-averaged short-range order parameters were used to remove the surface segregation bias of the conventional short-range order parameters. Using this procedure, it was shown that the short-range order in the particles at high temperatures is bulk-like. Keywords: Monte Carlo

• simulation; nanoparticles; nanothermodynamics; phase diagram; Pt-Rh; thermodynamics; Introduction Pt–Rh is an important alloy due to its catalytic activity in different reactions. In the past it was assumed that Pt–Rh is immiscible at low temperatures [1][2], but theoretical studies revealed that Pt–Rh