Abstract:Binary nanoparticle (NP) superlattices exhibit distinct collective plasmonic, magnetic, optical, and electronic properties. Here, we demonstrate how fluid-fluid interfaces could be used to self- assemble binary systems of NPs into 2D superlattices when the NP species exhibit different miscibility with the fluids forming the interface. We develop a basin-hopping Monte Carlo algorithm tailored for interface-trapped structures to rapidly determine the ground-state configuration of NPs, allowing us to explore the … Show more
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