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19912026
Showing 2022 · cond-mat.softShow all

15 papers · 2 filters

cond-mat.soft2022★ 5 cited

Coulombic Surface-Ion Interactions Induce Nonlinear and Chemistry-Specific Charging Kinetics

Willem Boon, Marjolein Dijkstra, René van Roij

While important for many industrial applications, chemical reactions responsible for charging of solids in water are often poorly understood. We theoretically investigate the charg…

cond-mat.soft2022★ 21 cited

Using cluster theory to calculate the experimental structure factors of antibody solutions

Nicholas Skar-Gislinge, Fabrizio Camerin, Anna Stradner +2

Monoclonal antibody solutions are set to become a major therapeutic tool in the years to come, capable of targeting various diseases by clever designing their antigen binding site.…

cond-mat.soft2022★ 2 cited

Realisation of the Brazil-nut effect in charged colloids without external driving

Marjolein N. van der Linden, Jeffrey C. Everts, René van Roij +1

Sedimentation is a ubiquitous phenomenon across many fields of science, such as geology, astrophysics, and soft matter. Sometimes, sedimentation leads to unusual phenomena, such as…

cond-mat.soft2022★ 11 cited

Guiding the self-assembly of colloidal diamond

Susana Marín-Aguilar, Fabrizio Camerin, Marjolein Dijkstra

The assembly of colloidal cubic diamond is a challenging process since the shape and interaction parameters and the thermodynamic conditions where this structure is stable are elus…

cond-mat.soft2022★ 27 cited

Machine-learning effective many-body potentials for anisotropic particles using orientation-dependent symmetry functions

Gerardo Campos-Villalobos, Giuliana Giunta, Susana Marín-Aguilar +1

Spherically-symmetric atom-centered descriptors of atomic environments have been widely used for constructing potential or free energy surfaces of atomistic and colloidal systems a…

cond-mat.soft2022★ 5 cited

Crystal Nucleation of Highly-Screened Charged Colloids

Marjolein de Jager, Laura Filion

We study the nucleation of nearly-hard charged colloidal particles. We use Monte Carlo simulations in combination with free-energy calculations to accurately predict the phase diag…

cond-mat.soft2022★ 3 cited

Cooperative transitions involving hydrophobic polyelectrolytes

James L. Martin Robinson, Willem. K Kegel

Hydrophobic polyelectrolytes (HPE) can solubilize bilayer membranes, form micelles or can reversibly aggregate as a function of pH. The transitions are often remarkably sharp. We s…

cond-mat.soft2022★ 38 cited

Soft Metamaterials: Adaptation and Intelligence

Colin Scheibner, Michel Fruchart, Vincenzo Vitelli

We provide a perspective on soft metamaterials and biomatter with a special emphasis on future research directions at the interface between material intelligence and adaptation.

cond-mat.soft2022★ 27 cited

Pressure-sensitive ion conduction in a conical channel: optimal pressure and geometry

Willem Boon, Tim Veenstra, Marjolein Dijkstra +1

Using both analytic and numerical analyses of the Poisson-Nernst-Planck equations we theoretically investigate the electric conductivity of a conical channel, which in accordance w…

cond-mat.soft2022★ 18 cited

Kinetic phase diagram for nucleation and growth of competing crystal polymorphs in charged colloidal suspensions

Willem Gispen, Marjolein Dijkstra

We determine the full kinetic phase diagram for nucleation and growth of crystal phases in a suspension of charged colloids. We calculate nucleation barrier heights for face-center…

cond-mat.soft2022★ 12 cited

Soft colloids for complex interfacial assemblies

Fabrizio Camerin, Emanuela Zaccarelli

The design of complex materials and the formation of specific patterns often arise from the properties of the individual building blocks. In this respect, colloidal systems offer a…

cond-mat.soft2022★ 10 cited

Modeling of effective interactions between ligand coated nanoparticles through symmetry functions

Dinesh Chintha, Shivanand Kumar Veesam, Emanuele Boattini +2

Ligand coated nanoparticles are complex objects consisting of a metallic or semiconductor core with organic ligands grafted on their surface. These organic ligands provide stabilit…

cond-mat.soft2022★ 40 cited

Comparing machine learning techniques for predicting glassy dynamics

Rinske M. Alkemade, Emanuele Boattini, Laura Filion +1

In the quest to understand how structure and dynamics are connected in glasses, a number of machine learning based methods have been developed that predict dynamics in supercooled…

cond-mat.soft2022★ 38 cited

Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials

Ryan van Mastrigt, Marjolein Dijkstra, Martin van Hecke +1

Combinatorial problems arising in puzzles, origami, and (meta)material design have rare sets of solutions, which define complex and sharply delineated boundaries in configuration s…

cond-mat.soft2022

Absence of anomalous underscreening in highly concentrated aqueous electrolytes confined between smooth silica surfaces

Saravana Kumar, Peter Cats, Mohammed B. Alotaibi +5

Recent experiments and a series of subsequent theoretical studies suggest the occurrence of universal underscreening in highly concentrated electrolyte solutions. We performed a se…