Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institute for Subatomic PhysicsNL871 papers
- Centre National de la Recherche ScientifiqueFR771 papers
- University of AmsterdamNL560 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT517 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR514 papers
- University of BirminghamGB502 papers
- European Organization for Nuclear ResearchCH493 papers
- Lawrence Berkeley National LaboratoryUS484 papers
- The University of Texas at AustinUS482 papers
- Indian Institute of Technology BombayIN479 papers
- The Ohio State UniversityUS473 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR467 papers
12 papers · 2 filters
Active Brownian particles in power-law viscoelastic media
David Santiago Quevedo, Monica Conte, Marjolein Dijkstra +1
Many active particles are embedded in environments that exhibit viscoelastic properties. An important class of such media lacks a single characteristic relaxation timescale when su…
Machine-Learned Many-Body Potentials for Charged Colloids reveal Gas-Liquid Spinodal Instabilities only in the strong-coupling regime of Primitive Models
Thijs ter Rele, René van Roij, Marjolein Dijkstra
Past experimental observations of gas-liquid and gas-crystal coexistence in low-salinity suspensions of highly charged colloids have suggested the existence of like-charge attracti…
From Knots to Crystals: Machine-Learned Potentials for Self-Assembling Topological Solitons in Liquid Crystals
Arunkumar Bupathy, Darian Hall, Ivan I. Smalyukh +3
Knotted fields in classical and quantum systems have long been recognized for their non-trivial topologies and particle-like behavior, but practical applications have been limited…
Solid-angle based nearest-neighbor algorithm adapted for systems with low coordination number
Alptuğ Ulugöl, Frank Smallenburg, Laura Filion
Nearest-neighbor identification is central to the analysis of local structure in condensed matter systems. The solid-angle-based nearest-neighbor (SANN) algorithm is widely used of…
Surface Charge Relaxation Controls the Lifetime of Out-of-Equilibrium Colloidal Crystals
Laura Jansen, Thijs ter Rele, Marjolein Dijkstra
Interactions between charged colloidal particles are profoundly influenced by charge regulation and charge renormalization, rendering the effective potential highly sensitive to lo…
Machine learning many-body potentials for charged colloids in primitive 1:1 electrolytes
Thijs ter Rele, Gerardo Campos-Villalobos, René van Roij +1
Effective interactions between charged particles dispersed in an electrolyte are most commonly modeled using the Derjaguin-Landau-Verwey-Overbeek (DLVO) potential, where the ions i…
Shaping boundaries to control and transport topological defects in colloidal nematic liquid crystals
Gerardo Campos-Villalobos, André F. V. Matias, Ethan I. L. Jull +2
Anisotropic rod-like particles form liquid crystalline phases with varying degrees of orientational and translational order. When confined geometrically, these phases can give rise…
Cooperative ligand-mediated transitions in simple macromolecules
James L. Martin Robinson, Neshat Moslehi, Nikolaos Dramountanis +7
In biology, ligand mediated transitions (LMT), where the binding of a molecular ligand onto the binding site of a receptor molecule leads to a well-defined change in the conformati…
Freezing line of polydisperse hard spheres via direct-coexistence simulations
Antoine Castagnède, Laura Filion, Frank Smallenburg
In experimental systems, colloidal particles are virtually always at least somewhat polydisperse, which can have profound effects on their ability to crystallize. Unfortunately, ac…
Kinetic phase diagram for two-step nucleation in colloid-polymer mixtures
Willem Gispen, Peter G. Bolhuis, Marjolein Dijkstra
Two-step crystallization via a metastable intermediate phase is often regarded as a non-classical process that lies beyond the framework of classical nucleation theory (CNT). In th…
Neuromorphic Computing with Microfluidic Memristors
Nex C. X. Stuhlmüller, René van Roij, Marjolein Dijkstra
Conical microfluidic channels filled with electrolytes exhibit volatile memristive behavior, offering a promising platform for energy-efficient, neuromorphic computing. Here, we in…
Intelligent Soft Matter: Towards Embodied Intelligence
Vladimir A. Baulin, Achille Giacometti, Dmitry Fedosov +24
Intelligent soft matter stands at the intersection of materials science, physics, and cognitive science, promising to change how we design and interact with materials. This transfo…