33 citations · 221 across the 16 of their papers we have counts for
6 papers · 1 filter
Microscopic theory for nonequilibrium correlation functions in dense active fluids
Vincent E. Debets, Lila Sarfati, Thomas Voigtmann +1
One of the key hallmarks of dense active matter in the liquid, supercooled, and solid phases is so-called equal-time velocity correlations. Crucially, these correlations can emerge…
Unveiling the anatomy of mode-coupling theory
I. Pihlajamaa, V. E. Debets, C. C. L. Laudicina +1
The mode-coupling theory of the glass transition (MCT) has been at the forefront of fundamental glass research for decades, yet the theory's underlying approximations remain obscur…
Mode-coupling theory for mixtures of athermal self-propelled particles
Vincent E. Debets, Liesbeth M. C. Janssen
Dense or glassy active matter, as a result of its remarkable resemblance to passive glass-forming materials, is enjoying increasing scientific interest. To better grasp the subtle…
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…
A deep learning approach to the measurement of long-lived memory kernels from Generalised Langevin Dynamics
Max Kerr Winter, Ilian Pihlajamaa, Vincent E. Debets +1
Memory effects are ubiquitous in a wide variety of complex physical phenomena, ranging from glassy dynamics and metamaterials to climate models. The Generalised Langevin Equation (…
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…