scholarly journals Self-assembly and entropic effects in pear-shaped colloid systems. I. Shape sensitivity of bilayer phases in colloidal pear-shaped particle systems

2020 ◽  
Vol 153 (3) ◽  
pp. 034903
Author(s):  
Philipp W. A. Schönhöfer ◽  
Matthieu Marechal ◽  
Douglas J. Cleaver ◽  
Gerd E. Schröder-Turk
Keyword(s):  
Self Assembly ◽  
Particle Systems ◽  
Shape Sensitivity ◽  
Shaped Particle ◽  
Colloid Systems ◽  
Entropic Effects

scholarly journals Self-assembly and entropic effects in pear-shaped colloid systems. II. Depletion attraction of pear-shaped particles in a hard-sphere solvent

2020 ◽  
Vol 153 (3) ◽  
pp. 034904
Author(s):  
Philipp W. A. Schönhöfer ◽  
Matthieu Marechal ◽  
Douglas J. Cleaver ◽  
Gerd E. Schröder-Turk
Keyword(s):  
Self Assembly ◽  
Hard Sphere ◽  
Colloid Systems ◽  
Entropic Effects

Entropic Effects on the Supramolecular Self-Assembly of Macromolecules

2015 ◽  
Vol 4 (7) ◽  
pp. 774-777 ◽  
Author(s):  
Kai Pahnke ◽  
Ozcan Altintas ◽  
Friedrich G. Schmidt ◽  
Christopher Barner-Kowollik
Keyword(s):  
Self Assembly ◽  
Entropic Effects

A ‘Building Block’ Approach To Mixed-Colloid Systems Through Electrostatic Self-Organization

2001 ◽  
Vol 676 ◽  
Author(s):  
Trent H. Galow ◽  
Andrew K. Boal ◽  
Vincent M. Rotello
Keyword(s):  
Particle Size ◽  
Self Assembly ◽  
Building Block ◽  
Acid Base ◽  
Electrostatic Assembly ◽  
Polymer Colloid ◽  
Colloid Systems ◽  
Carboxylic Acid Derivative ◽  
Block Approach ◽  
Shape And Size

ABSTRACTWe have developed a highly modular electrostatically-mediated approach to colloid-colloid and polymer-colloid networks using ‘building block’ and ‘bricks and mortar’ self-assembly methodologies, respectively. The former approach involved functionalization of one type of nanoparticle building block with a primary amine and a counterpart building block with a carboxylic acid derivative. After combining these two systems, acid-base chemistry followed by immediate charge-pairing resulted in the spontaneous formation of electrostatically-bound mixed-nanoparticle constructs. The shape and size of these ensembles were controlled via variation of particle size and stoichiometries. In the ‘bricks and mortar’ approach, a functionalized polymer is combined with complementary nanoparticles to provide mixed polymer-nanoparticle networked structures. A notable feature is the inherent porosity resulting from the electrostatic assembly. The shape and size of these ensembles were controlled via variation of particle size, stoichiometries and the order in which they were added.

scholarly journals Self-strengthening biphasic nanoparticle assemblies with intrinsic catch bonds

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kerim C. Dansuk ◽  
Sinan Keten
Keyword(s):  
Self Assembly ◽  
Tensile Force ◽  
Nanoparticle Assemblies ◽  
Design Concepts ◽  
Self Assembling ◽  
Secondary Interactions ◽  
Shaped Particle ◽  
Dynamics Simulations ◽  
Catch Bonds ◽  
Fiber Breaking

AbstractProtein–ligand complexes with catch bonds exhibit prolonged lifetimes when subject to tensile force, which is a desirable yet elusive attribute for man-made nanoparticle interfaces and assemblies. Most designs proposed so far rely on macromolecular linkers with complicated folds rather than particles exhibiting simple dynamic shapes. Here, we establish a scissor-type X-shaped particle design for achieving intrinsic catch bonding ability with tunable force-enhanced lifetimes under thermal excitations. Molecular dynamics simulations are carried out to illustrate equilibrium self-assembly and force-enhanced bond lifetime of dimers and fibers facilitated by secondary interactions that form under tensile force. The non-monotonic force dependence of the fiber breaking kinetics is well-estimated by an analytical model. Our design concepts for shape-changing particles illuminates a path towards novel nanoparticle or colloidal assemblies that have the passive ability to tune the strength of their interfaces with applied force, setting the stage for self-assembling materials with novel mechanical functions and rheological properties.

scholarly journals Simulating the Self-Assembly and Hysteresis Loops of Ferromagnetic Nanoparticles with Sticking of Ligands

Nanomaterials ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2870
Author(s):  
Nicholas R. Anderson ◽  
Jonathon Davidson ◽  
Dana R. Louie ◽  
David Serantes ◽  
Karen L. Livesey
Keyword(s):  
Self Assembly ◽  
Critical Size ◽  
Hysteresis Loops ◽  
Particle Systems ◽  
Ferromagnetic Nanoparticles ◽  
Nonmonotonic Dependence ◽  
Oscillating Magnetic Field ◽  
Preliminary Study ◽  
Dynamics Simulations ◽  
Work Done

The agglomeration of ferromagnetic nanoparticles in a fluid is studied using nanoparticle-level Langevin dynamics simulations. The simulations have interdigitation and bridging between ligand coatings included using a computationally-cheap, phenomenological sticking parameter c. The interactions between ligand coatings are shown in this preliminary study to be important in determining the shapes of agglomerates that form. A critical size for the sticking parameter is estimated analytically and via the simulations and indicates where particle agglomerates transition from well-ordered (c is small) to disordered (c is large) shapes. Results are also presented for the hysteresis loops (magnetization versus applied field) for these particle systems in an oscillating magnetic field appropriate for hyperthermia applications. The results show that the clumping of particles has a significant effect on their macroscopic properties, with important consequences on applications. In particular, the work done by an oscillating field on the system has a nonmonotonic dependence on c.

scholarly journals Fully Solvable Equilibrium Self-Assembly Process:  Fine-Tuning the Clusters Size and the Connectivity in Patchy Particle Systems

2007 ◽  
Vol 111 (40) ◽  
pp. 11765-11769 ◽  
Author(s):  
Emanuela Bianchi ◽  
Piero Tartaglia ◽  
Emilia La Nave ◽  
Francesco Sciortino
Keyword(s):  
Self Assembly ◽  
Particle Systems ◽  
Fine Tuning ◽  
Assembly Process ◽  
Patchy Particle

Inverse design of self-assembling Frank-Kasper phases and insights into emergent quasicrystals

2017 ◽  
Author(s):  
Beth Lindquist ◽  
Ryan Jadrich ◽  
William Pineros ◽  
Thomas Truskett
Keyword(s):  
Machine Learning ◽  
Self Assembly ◽  
Design Strategy ◽  
Particle Systems ◽  
Inverse Design ◽  
Learning Approach ◽  
Self Assembling ◽  
Machine Learning Approach ◽  
Component Particle ◽  
Isotropic Pair

We discuss how a machine learning approach based on relative entropy optimization can be used as an inverse design strategy to discover isotropic pair interactions that self-assemble single- or multi-component particle systems into Frank-Kasper phases. In doing so, we also gain insights into self-assembly of quasicrystals.

Inverse design of self-assembling Frank-Kasper phases and insights into emergent quasicrystals

2017 ◽  
Author(s):  
Beth Lindquist ◽  
Ryan Jadrich ◽  
William Pineros ◽  
Thomas Truskett
Keyword(s):  
Machine Learning ◽  
Self Assembly ◽  
Design Strategy ◽  
Particle Systems ◽  
Inverse Design ◽  
Learning Approach ◽  
Self Assembling ◽  
Machine Learning Approach ◽  
Component Particle ◽  
Isotropic Pair

We discuss how a machine learning approach based on relative entropy optimization can be used as an inverse design strategy to discover isotropic pair interactions that self-assemble single- or multi-component particle systems into Frank-Kasper phases. In doing so, we also gain insights into self-assembly of quasicrystals.

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