2013
DOI: 10.1063/1.4793527
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Controlling crystal self-assembly using a real-time feedback scheme

Abstract: We simulate crystallisation of hard spheres with short-ranged attractive potentials as a model self-assembling system. Using measurements of correlation and response functions, we develop a method whereby the interaction parameters between the particles are automatically tuned during the assembly process, in order to obtain high-quality crystals and avoid kinetic traps. The method we use is independent of the details of the interaction potential and of the structure of the final crystal-we propose that it can … Show more

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Cited by 31 publications
(37 citation statements)
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References 55 publications
(135 reference statements)
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“…The presence of attractive interactions ensures that the clustering of the NPs is possible even at very low concentrations of particles. [10] It is important to point out, however, that all descriptions of colloidal forces rely on a thermodynamic (equilibrium) treatment of the NP-NP interactions. In reality they can give only a hint about the stability of the system, whether it is possible at all to induce an aggregation or phase transition.…”
Section: Colloidal Interactionsmentioning
confidence: 99%
“…The presence of attractive interactions ensures that the clustering of the NPs is possible even at very low concentrations of particles. [10] It is important to point out, however, that all descriptions of colloidal forces rely on a thermodynamic (equilibrium) treatment of the NP-NP interactions. In reality they can give only a hint about the stability of the system, whether it is possible at all to induce an aggregation or phase transition.…”
Section: Colloidal Interactionsmentioning
confidence: 99%
“…The first regime is the formation of drops with and without a crystal inside; the second regime is a dissolution of amorphous structures with a low internal crystal order; and the third regime is a slow growth of crystals via adsorption of single particles from dissolving usually smaller crystals. The optimum conditions for this situation seem to be intermediately strong quenches of systems at low densities to temperatures corresponding to the intersection of the spinodal and the attractive glass line [15,13], and lying within the optimum temperature range for self-assembly [56]. The collective motion is unimportant in systems where long-range repulsion inhibits the aggregation.…”
Section: Resultsmentioning
confidence: 95%
“…Changes of δ or the pseudo-temperature in the MC simulations during assembly may also be stepwise and follow a real-time feedback. A systematic change of bond strength can, indeed, improve crystal yield [56]. How δ and its changes are represented in experiments requires more attention, but microwave heating [57] can be used to locally disturb the bonds, the time control of bond strength is achievable by exposure to light in repeated pulses [58], and hierarchical self-assembly in DNA origami can be achieved by a slow cooling process [59].…”
Section: Discussionmentioning
confidence: 99%
“…Following the analysis described in 37,38 for identifying the size of domains, we determined in both experiments and simulations the typical crystalline domain size as…”
Section: Identification Of Local Crystal Structurementioning
confidence: 99%
“…To determine if these crystalline large particles are in one large crystalline domain, or if the system is polycrystalline, we follow Klotsa and Jack 37,38 . These authors defined a parameter N Q to describe the size of coherent crystallites, i.e., the typical number of particles in a coherently ordered crystal.…”
Section: Crystalline Domains In Experiments and Simulationmentioning
confidence: 99%