Self-assembly of active core corona particles into highly ordered and self-healing structures

Du, Yunfei; Jiang, Huijun; Hou, Zhonghuai

doi:10.1063/1.5121802

Cited by 13 publications

(9 citation statements)

References 51 publications

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“…Thus far, this isostructural transition could only be predicted by the simulation and theory − for very short shells that do not match the experiments. Conversely, 2D heterostructural transitions toward, e.g., chain, − cluster, honeycomb, or quasicrystalline , phase can be simulated via relatively simple Jagla pair potentials. ,, However, to date, no experimental single-component system has exhibited such heterostructural behavior, even though the synthesized particles should, at first sight, behave according to Jagla. ,, These apparent incongruities in experiments and simulations underline the need for a more rigorous understanding of the relationship between molecular soft-particle properties, interfacial morphology, and macroscopic interfacial phase behavior.…”

Section: Introductionmentioning

confidence: 99%

Soft Particles at Liquid Interfaces: From Molecular Particle Architecture to Collective Phase Behavior

et al. 2021

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Soft particles such as microgels can undergo significant and anisotropic deformations when adsorbed to a liquid interface. This, in turn, leads to a complex phase behavior upon compression. To date, experimental efforts have predominantly provided phenomenological links between microgel structure and resulting interfacial behavior, while simulations have not been entirely successful in reproducing experiments or predicting the minimal requirements for the desired phase behavior. Here, we develop a multiscale framework to link the molecular particle architecture to the resulting interfacial morphology and, ultimately, to the collective interfacial phase behavior. To this end, we investigate interfacial morphologies of different poly(Nisopropylacrylamide) particle systems using phase-contrast atomic force microscopy and correlate the distinct interfacial morphology with their bulk molecular architecture. We subsequently introduce a new coarse-grained simulation method that uses augmented potentials to translate this interfacial morphology into the resulting phase behavior upon compression. The main novelty of this method is the possibility to efficiently encode multibody interactions, the effects of which are key to distinguishing between heterostructural (anisotropic collapse) and isostructural (isotropic collapse) phase transitions. Our approach allows us to qualitatively resolve existing discrepancies between experiments and simulations. Notably, we demonstrate the first in silico account of the two-dimensional isostructural transition, which is frequently found in experiments but elusive in simulations. In addition, we provide the first experimental demonstration of a heterostructural transition to a chain phase in a single-component system, which has been theoretically predicted decades ago. Overall, our multiscale framework provides a phenomenological bridge between physicochemical soft-particle characteristics at the molecular scale and nanoscale and the collective self-assembly phenomenology at the macroscale, serving as a stepping stone toward an ultimately more quantitative and predictive design approach.

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Section: Introductionmentioning

confidence: 99%

Soft Particles at Liquid Interfaces: From Molecular Particle Architecture to Collective Phase Behavior

et al. 2021

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“…We investigated the effect of activity on self‐assembly of core corona particles. [ 74 ] Compared to the passive counterpart which would be trapped into metastable states with many defects, active core‐corona particles spontaneously self‐assemble into a large scaled and highly ordered structure with stripe pattern (Figure 8(b)) and trimer lattice (Figure 8(c)). The dominant self‐assembled pattern is determined by the activity F a and the strength k s of the soft corona interaction.…”

Section: From Individual To Collectivementioning

confidence: 99%

Nonequilibrium Dynamics of Chemically Active Particles

Jiang

Hou

2021

Chin. J. Chem.

Self Cite

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Comprehensive Summary Chemically active motion is ubiquitous in many nature and artificial systems where each unit can move directionally by converting chemical energy into kinetic energy. Since the systems are driven by activity far from equilibrium, many dynamical behaviors forbidden in equilibrium systems may be induced. Nonequilibrium dynamics of such systems is then a hot multidisciplinary topic with great challenges. Here, we review our recent theoretical advances in some fundamental problems at the single active particle level, the collective behavior level, as well as in systems where active particles act as baths. What is the most favorite and original chemistry developed in your research group? We have focused on developments and applications of non‐equilibrium statistical methods. We are active in developing multi‐scale theories as well as modeling methods to solve puzzles in physical, chemical as well as biological complex systems. Study of dynamic behaviors of active systems as demonstrated in this review are some of the most exciting works in my group. How do you get into this specific field? Could you please share some experiences with our readers? When I was an undergraduate student, I encountered the fascinating field of nonlinear dynamics, being deeply attracted by the interesting and beautiful concepts like fractal, soliton and chaos. Later during my graduate study under the supervision of Prof. Houwen Xin, I began my research work in nonlinear chemistry, which brought me into the interdisciplinary field of complex system. Non‐equilibrium statistical mechanics can provide powerful tools and new insights into these complex systems, finding brilliant solutions for the puzzles, making the problems simple, but not simpler. Who influences you mostly in your life? My supervisor Prof. Xin is no doubt the most influential person in my life. His knowledge and insights in both research and life have been a great inspiration to me even till today. What is the most important personality for scientific research? I would say the most important one is certainly curiosity, the never‐ending thirst of truth. Other personalities such as dedication and hardworking are also indispensable, as they may take you through a period of research journey, but it is your curiosity that drives you to devote into research for a life time. What are your hobbies? What's your favorite book(s)? One of my major hobby is of course acquiring new knowledge such as watching online lectures, such as MIT open courses at OpenCourseWare, again driven by my inexhaustible curiosity. Apart from that I like playing Go in my spare time. How do you keep balance between research and family? Well I don't think there is a ‘balance’ but rather/instead a positive feedback loop. Research and family are both things I enjoy most, so I guess I'm just dedicated to one identity at a time which lightens me in the other.

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“…These particles break detailed balance via a self-driven term that leads to a wide range of non-equilibrium phenomena resembling various distinctive properties of living systems [66][67][68]. Examples of such phenomena include self assembly [69,70], spontaneous segregation [71], and motility induced phase separation [72,73]. The non-equilibrium nature of such systems automatically leads to questions about the properties of their thermodynamic features.…”

Section: Introductionmentioning

confidence: 99%

Fluctuations of entropy production of a run-and-tumble particle

Padmanabha¹,

Busiello²,

Maritan³

et al. 2022

Preprint

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Out-of-equilibrium systems continuously generate entropy, with its rate of production being a fingerprint of non-equilibrium conditions. In small-scale dissipative systems subject to thermal noise, fluctuations of entropy production are significant. Hitherto, mean and variance have been abundantly studied, even if higher moments might be important to fully characterize the system of interest. Here, we introduce a graphical method to compute any moment of entropy production for a generic discrete-state system. Then, we focus on a paradigmatic model of active particles, i.e., run-and-tumble dynamics, which resembles the motion observed in several microorganisms. Employing our framework, we compute the first three cumulants of the entropy production for a discrete version of this model. We also compare our analytical results with numerical simulations. We find that as the number of states increases, the distribution of entropy production deviates from a Gaussian. Finally, we extend our framework to a continuous state-space run-and-tumble model, using an appropriate scaling of the transition rates. The approach here presented might help uncover the features of non-equilibrium fluctuations of any current in biological systems operating out-of-equilibrium.

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Self-assembly of active core corona particles into highly ordered and self-healing structures

Cited by 13 publications

References 51 publications

Soft Particles at Liquid Interfaces: From Molecular Particle Architecture to Collective Phase Behavior

Soft Particles at Liquid Interfaces: From Molecular Particle Architecture to Collective Phase Behavior

Nonequilibrium Dynamics of Chemically Active Particles

Fluctuations of entropy production of a run-and-tumble particle

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