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Understanding entropic contributions to common ordering transitions is essential for the design of self-assembling systems with addressable complexity.
Two conceptual strategies for encoding information into self-assembling building blocks highlight opportunities and challenges in the realization of programmable colloidal nanostructures.
Two-dimensional semiconductors such as transition metal dichalcogenides can complement graphene in applications where a sizeable natural energy bandgap is required. Recent studies aim at bringing these materials to a higher level of maturity.