2018
DOI: 10.1038/s41565-018-0270-4
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Oscillations, travelling fronts and patterns in a supramolecular system

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Cited by 248 publications
(232 citation statements)
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“…[1] Examples of networks giving temporal, or spatiotemporal, control over the concentrations of the molecules in the system include the generation of wave fronts, [2] pattern formation with as o-calledg o-fetch model, [3] oscillations, [4][5][6][7][8] supramolecular oscillators [9] synchronisation and pattern formation with multiple oscillators through diffusional spatiotemporal coupling, [10] adaptive response networks, [11] systemss howing homeostasis, [12] self-replicating systems that can diversify into differents pecies, [13] self-replicators that can transiently form micelles, [14,15] temporally controlled material properties [16][17][18] and transientv esicle, [19] droplet, [20] fibril and gel formation. [1] Examples of networks giving temporal, or spatiotemporal, control over the concentrations of the molecules in the system include the generation of wave fronts, [2] pattern formation with as o-calledg o-fetch model, [3] oscillations, [4][5][6][7][8] supramolecular oscillators [9] synchronisation and pattern formation with multiple oscillators through diffusional spatiotemporal coupling, [10] adaptive response networks, [11] systemss howing homeostasis, [12] self-replicating systems that can diversify into differents pecies, [13] self-replicators that can transiently form micelles, [14,15] temporally controlled material properties [16][17][18] and transi...…”
Section: Introductionmentioning
confidence: 99%
“…[1] Examples of networks giving temporal, or spatiotemporal, control over the concentrations of the molecules in the system include the generation of wave fronts, [2] pattern formation with as o-calledg o-fetch model, [3] oscillations, [4][5][6][7][8] supramolecular oscillators [9] synchronisation and pattern formation with multiple oscillators through diffusional spatiotemporal coupling, [10] adaptive response networks, [11] systemss howing homeostasis, [12] self-replicating systems that can diversify into differents pecies, [13] self-replicators that can transiently form micelles, [14,15] temporally controlled material properties [16][17][18] and transientv esicle, [19] droplet, [20] fibril and gel formation. [1] Examples of networks giving temporal, or spatiotemporal, control over the concentrations of the molecules in the system include the generation of wave fronts, [2] pattern formation with as o-calledg o-fetch model, [3] oscillations, [4][5][6][7][8] supramolecular oscillators [9] synchronisation and pattern formation with multiple oscillators through diffusional spatiotemporal coupling, [10] adaptive response networks, [11] systemss howing homeostasis, [12] self-replicating systems that can diversify into differents pecies, [13] self-replicators that can transiently form micelles, [14,15] temporally controlled material properties [16][17][18] and transi...…”
Section: Introductionmentioning
confidence: 99%
“…In its finite lifetime, the metastable product is capable of self-assembly, resulting in dynamic assemblies that exchange building blocks rapidly and remodeling dynamics regulated by the kinetics of the reaction cycle. For example, in the dissipative self-assembly of fibers, [19] behavior reminiscent of dynamic instabilities in microtubules , [20,21] and oscillatory behavior between morphologies [22] has been observed. Other examples of recently described dissipative assemblies include active droplets, [23] hydrophobic colloids, [24] autocatalytic micelles, [46] the formation of clusters of nanoparticles, [25,26] DNA-based hydrogels [27,28] and supramolecular polymers.…”
Section: Dynamic Vesicles Formed By Dissipative Self-assemblymentioning
confidence: 99%
“…Moreover, due to the continuous formation of the building blocks, the assemblies can undergo dynamic behavior if they exert minimal feedback on their reaction cycle. For example, if the assemblies enhance their formation and slow down their deactivation, exciting behavior like oscillations can spontaneously emerge …”
Section: Dissipative Self‐assemblymentioning
confidence: 99%
“…For example, if the assemblies enhance their formation and slow down their deactivation, exciting behavior like oscillations can spontaneously emerge. [35]…”
Section: Dissipative Self-assemblymentioning
confidence: 99%