1.7k citations · 3k across the 35 of their papers we have counts for
35 papers
Classifying the age of a glass based on structural properties: A machine learning approach
Giulia Janzen, Casper Smit, Samantha Visbeek +5
It is well established that physical aging of amorphous solids is governed by a marked change in dynamical properties as the material becomes older. Conversely, structural properti…
Dead or alive: Distinguishing active from passive particles using supervised learning
Giulia Janzen, Xander L. J. A. Smeets, Vincent E. Debets +4
A longstanding open question in the field of dense disordered matter is how precisely structure and dynamics are related to each other. With the advent of machine learning, it has…
Controlled gel expansion through colloid oscillation
Guido L. A. Kusters, Cornelis Storm, Paul van der Schoot
We model the behaviour of a single colloid embedded in a cross-linked polymer gel, immersed in a viscous background fluid. External fields actuate the particle into a periodic moti…
Transient response and domain formation in electrically deforming liquid crystal networks
Guido L. A. Kusters, Paul van der Schoot, Cornelis Storm
Recently, Van der Kooij and co-workers recognised three distinct, transient regimes in the dynamics of electrically-deforming liquid crystal networks [Van der Kooij et al., Nat. Co…
Controlling permeation in electrically-deforming liquid crystal network films: a dynamical Landau theory
Guido L. A. Kusters, Nicholas B. Tito, Cornelis Storm +1
Liquid crystal networks exploit the coupling between the responsivity of liquid-crystalline mesogens, e.g., to electric fields, and the (visco)elastic properties of a polymer netwo…
Dynamical Landau-de Gennes Theory for Electrically-Responsive Liquid Crystal Networks
Guido L. A. Kusters, Inge P. Verheul, Nicholas B. Tito +2
Liquid crystal networks combine the orientational order of liquid crystals with the elastic properties of polymer networks, leading to a vast application potential in the field of…