activity
20092026
most citedMode-Coupling Theory of the Glass Transition: A Primer

224 citations · 1.4k across the 48 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

cond-mat.soft2023

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…

cond-mat.soft2023★ 7 cited

Rejuvenation and memory effects in active glasses induced by thermal and active cycling

Giulia Janzen, Liesbeth M. C. Janssen

It has recently been shown that thermal active glasses can display physical aging behavior comparable to that of passive glasses, although there are some notable distinctions due t…

cond-mat.stat-mech2023★ 9 cited

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…

cond-mat.soft2023★ 4 cited

Competing Relaxation Channels in Continuously Polydisperse Fluids: A Mode-Coupling Study

Corentin C. L. Laudicina, Ilian Pihlajamaa, Liesbeth M. C. Janssen

Systems with a high degree of size polydispersity are becoming standard in the computational study of deeply supercooled liquids. In this work we perform a systematic analysis of c…

cond-mat.stat-mech2023

Emergent structural correlations in dense liquids

Ilian Pihlajamaa, Corentin C. L. Laudicina, Chengjie Luo +1

The complete quantitative description of the structure of dense and supercooled liquids remains a notoriously difficult problem in statistical physics. Most studies to date focus s…

cond-mat.soft2023★ 13 cited

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…

cond-mat.soft2023★ 11 cited

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…

cond-mat.dis-nn2023★ 8 cited

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 (…

cond-mat.soft2023★ 1 cited

Influence of polydispersity on the relaxation mechanisms of glassy liquids

Ilian Pihlajamaa, Corentin C. L. Laudicina, Liesbeth M. C. Janssen

State-of-the-art techniques for simulating deeply supercooled liquids require a high degree of size polydispersity to be effective. While these techniques have enabled great insigh…

cond-mat.soft2023★ 9 cited

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…