[HTML][HTML] Navigating micro-and nano-motors/swimmers with machine learning: Challenges and future directions

J Xue, H Alinejad-Rokny, K Liang - ChemPhysMater, 2024 - Elsevier
Abstract Micro-/nano-motors (MNMs) or swimmers are minuscule machines that can convert
various forms of energy, such as chemical, electrical, or magnetic energy, into motion. These …

Selecting relevant structural features for glassy dynamics by information imbalance

A Sharma, C Liu, M Ozawa - The Journal of Chemical Physics, 2024 - pubs.aip.org
We numerically investigate the identification of relevant structural features that contribute to
the dynamical heterogeneity in a model glass-forming liquid. By employing the recently …

Classifying the age of a glass based on structural properties: A machine learning approach

G Janzen, C Smit, S Visbeek, VE Debets, C Luo… - Physical Review …, 2024 - APS
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 …

Shape matters: Inferring the motility of confluent cells from static images

QJS Braat, G Janzen, BC Jansen, VE Debets… - arXiv preprint arXiv …, 2024 - arxiv.org
Cell motility in dense cell collectives is pivotal in various diseases like cancer metastasis
and asthma. A central aspect in these phenomena is the heterogeneity in cell motility, but …

Voronoi spatial pattern construction through bacterial colony simulation

DV Moreno, YM Ortiz, DI Araya, ME Gutierrez - bioRxiv, 2024 - biorxiv.org
Voronoi diagrams are structures that have many applications. Parallel formation of Voronoi
diagrams in cell colonies is a process that would enable to study a larger array of …

[PDF][PDF] Structure, Dynamics, and Aging of Active Glasses

G Janzen - 2023 - research.tue.nl
In this Chapter, we present a general overview of glasses and their structural and dynamical
properties. Next, we discuss the aging behavior observed in glasses and explore the …

[PDF][PDF] Distinguishing Active from Passive Cells in Confluent Cell Layers Using Machine Learning

BC Jansen - 2023 - research.tue.nl
From the increased understanding of cancer biology, it has become evident that passive
epithelial cells can adapt their characteristics by turning into an active mesenchymal …

[PDF][PDF] Focus Issue on Statistical Physics of Self-Propelled Colloids

H Löwen, S Klapp, H Stark - thphy.uni-duesseldorf.de
Note that the author (s) has the following rights:–immediately after publication, to use all or
part of the article without revision or modification, including the EPLA-formatted version, for …