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pmid: 31358762
pmc: PMC6662715
AbstractMolecular motors are essential to the living, generating fluctuations that boost transport and assist assembly. Active colloids, that consume energy to move, hold similar potential for man-made materials controlled by forces generated from within. Yet, their use as a powerhouse in materials science lacks. Here we show a massive acceleration of the annealing of a monolayer of passive beads by moderate addition of self-propelled microparticles. We rationalize our observations with a model of collisions that drive active fluctuations and activate the annealing. The experiment is quantitatively compared with Brownian dynamic simulations that further unveil a dynamical transition in the mechanism of annealing. Active dopants travel uniformly in the system or co-localize at the grain boundaries as a result of the persistence of their motion. Our findings uncover the potential of internal activity to control materials and lay the groundwork for the rise of materials science beyond equilibrium.
cond-mat.soft, Science, Q, FOS: Physical sciences, Condensed Matter - Soft Condensed Matter, Molecular Dynamics Simulation, 530, Article, Biophysical Phenomena, Macromolecular and Materials Chemistry, Motion, Engineering, Chemical Sciences, Physical Sciences, Soft Condensed Matter (cond-mat.soft), Colloids, Particle Size, Algorithms
cond-mat.soft, Science, Q, FOS: Physical sciences, Condensed Matter - Soft Condensed Matter, Molecular Dynamics Simulation, 530, Article, Biophysical Phenomena, Macromolecular and Materials Chemistry, Motion, Engineering, Chemical Sciences, Physical Sciences, Soft Condensed Matter (cond-mat.soft), Colloids, Particle Size, Algorithms
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 58 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |