22 citations · 44 across the 3 of their papers we have counts for
6 papers
Nash Neural Networks : Inferring Utilities from Optimal Behaviour
John J. Molina, Simon K. Schnyder, Matthew S. Turner +1
We propose Nash Neural Networks () as a new type of Physics Informed Neural Network that is able to infer the underlying utility from observations of how rational individuals…
The role of the cell cycle in collective cell dynamics
Jintao Li, Simon K. Schnyder, Matthew S. Turner +1
Cells coexist together in colonies or as tissues. Their behaviour is controlled by an interplay between intercellular forces and biochemical regulation. We develop a simple model o…
Spontaneous Spatiotemporal Ordering of Shape Oscillations Enhances Cell Migration
Matteo Campo, Simon K. Schnyder, John J. Molina +2
The migration of cells is relevant for processes such as morphogenesis, wound healing, and invasion of cancer cells. In order to move, single cells deform cyclically. However, it i…
Control of cell colony growth by contact inhibition
Simon K. Schnyder, John J. Molina, Ryoichi Yamamoto
We investigate the dynamics of a colony of crawling, proliferating cells with a minimal, mechanical cell model. The cells consist of two disks, modelling the cell body and a pseudo…
Dynamic arrest in model porous media -- intermediate scattering functions
Markus Spanner, Simon K. Schnyder, Felix Höfling +2
Heterogeneous media constitute random disordered environments where transport is drastically hindered. Employing extensive molecular dynamics simulations, we investigate the spatio…
Long-Wavelength Anomalies in the Asymptotic Behavior of Mode-Coupling Theory
S. K. Schnyder, F. Höfling, T. Franosch +1
We discuss the dynamic behavior of a tagged particle close to a classical localization transition in the framework of the mode-coupling theory of the glass transition. Asymptotic r…