Droplet Collision for Target Shaping

This dataset consists of simulation input files and analysis scripts concerning the use of droplet collisions at nonzero impact parameters for target shaping in a Laser-Produced-Plasma EUV source

Data for: Pulse-tube refrigerator with a warm displacer: theoretical treatment in the harmonic approximation

This doc contains the calculation in more detai

Lattice Boltzmann simulations of drying suspensions of soft particles - numerical data

LB3D configuration files (in the folder config) and raw output data (in the folder data) used in the manuscript "Lattice Boltzmann simulations of drying suspensions of soft particles". The file "input-file" contains the simulation parameters. The file "parm_meshes.dat" contains the parameters related to the particles. A "Readme.txt" file is provided for more details

Data for paper 'Formation of motile cell clusters in heterogeneous model tumors: The role of cell-cell alignment' (PRE, 2024)

The data provided in this repository is generated for the publication ‘Formation of motile cell clusters in heterogeneous model tumors: The role of cell-cell alignment’ by Quirine J.S. Braat, Cornelis Storm and Liesbeth M.C. Janssen and published in Physical Review E. The data is generated using the Cellular Potts Model in CompuCell3D [1] that can be retrieved from GitHub. The simulations contain a more detailed description of the data, and the data provided here can be reproduced using the appropriate simulation code and parameters. These can be found on GitHub via https://github.com/QBraat/Cluster-Formation-Alignment. The data in this repository has been divided into the following sets: 1. EmptyLayer_Random.zip. this data set belongs to section III.A and section III.C and contains detailed information about the cells’ positions, orientation as a function of time for the active cells in free space. 2. EmptyLater_Random_single.zip. this data set belongs to section III.A and contains processed data about the order parameter and cluster size as a function of time for the active cells in free space. 3. ConfluentLayer_Random_single.zip. this data set belongs to section III.B and contains the processed data about the order parameter and cluster size as a function of time for the active cells in a confluent layer. 4. ConfluentLayer_Random_FiniteSize.zip. this data set belongs to the data in the supplementary information. 5. ConfluentLayer_Random_InitialBlock.zip. this data set belongs to the data in the supplementary information. Other than these sets, there is an additional data set ‘ConfluentLayer_Random.zip’, which contains the detailed information about the cells’ positions, orientation etc. as a function of time for the confluent layer simulations in section III.B and section III.C. This data set has not been included as it contains a significantly large amount of data, but can be received upon request from the authors

Supplementary material from "Puckering and wrinkling in a growing composite ring"

Pattern formation driven by differential strain in constrained elastic systems is a common motif in many technological and biological systems. Here we introduce a biologically motivated case of elastic patterning that allows us to explore the conditions for the existence of local puckering and global wrinkling patterns: a soft growing composite ring adhered elastically to a constraining rigid ring. We explore how differential growth of the soft ring and the elastic resistance to shear and stretching deformations induced by soft adherence leads to a range of phenomena that include uniform aperture-like modes, localized puckers that are Nambu–Goldstone like modes, and global wrinkles in the system. Our analysis combines computer simulations of a discrete rod model with a nonlinear stability analysis of the differential equations in the continuum limit. We provide phase diagrams and scaling relations that reveal the nature and extent of the deformation patterns. Overall, our study reveals how geometry and mechanics conspire to yield a rich phenomenology that could serve both as a guide to the design of programmable localized elastic deformations while being relevant for the mechanical basis of biological morphogenesis

Data set accompanying: Topology of the Warm plasma dispersion relation at the second Harmonic Electron Cyclotron Resonance Layer

The Warm Plasma Dispersion Relation, for waves in the electron cyclotron resonance range of frequencies, can be cast into the form of a bi-quadratic equation for $N_\perp$, where the coefficients are a function of $N_\perp^2$ and an iterative procedure is required to obtain a solution. However, this iterative procedure is not well understood and fails to converge towards a solution at the second harmonic resonance layer. In particular at higher densities where the wave can couple to an electron Bernstein wave. This paper focuses on a solution to the poor convergence of the iterative method, enabling determination of the topology of the dispersion relation around the second harmonic using a fully relativistic code for oblique waves. A feed-forward controller is proposed with the ability to adjust the rotation of a step of $N_\perp^2$ within the complex plane, while also limiting the step-size. It is shown that implementation of the controller stabilizes unstable solutions, while improving overall robustness of the iteration. This allows the evaluation of the coupling between the fast extraordinary mode and electron Bernstein waves at the second harmonic electron cyclotron resonance layer, for non-perpendicularly propagating waves

Data and code for "Integrating micromagnets and hybrid nanowires for topological quantum computing"

This is the first release of data and code for publication arXiv:2104.05130. Contains Mumax3 data and code, and Mathematica code to Majorana calculations

Supplementary material from "Lattice Boltzmann simulations of drying suspensions of soft particles"

The ordering of particles in the drying process of a colloidal suspension is crucial in determining the properties of the resulting film. For example, microscopic inhomogeneities can lead to the formation of cracks and defects that can deteriorate the quality of the film considerably. This type of problem is inherently multiscale and here we study it numerically, using our recently developed method for the simulation of soft polymeric capsules in multicomponent fluids. We focus on the effect of the particle softness on the film microstructure during the drying phase and how it relates to the formation of defects. We quantify the order of the particles by measuring both the Voronoi entropy and the isotropic order parameter. Surprisingly, both observables exhibit a non-monotonic behaviour when the softness of the particles is increased. We further investigate the correlation between the interparticle interaction and the change in the microstructure during the evaporation phase. We observe that the rigid particles form chain-like structures that tend to scatter into small clusters when the particle softness is increased.This article is part of the theme issue ‘Progress in mesoscale methods for fluid dynamics simulation’

Supplementary material from "Trade-offs between mobility restrictions and transmission of SARS-CoV-2"

In their response to the COVID-19 outbreak, governments face the dilemma to balance public health and economy. Mobility plays a central role in this dilemma because the movement of people enables both economic activity and virus spread. We use mobility data in the form of counts of travellers between regions, to extend the often-used SEIR models to include mobility between regions. We quantify the trade-off between mobility and infection spread in terms of a single parameter, to be chosen by policy makers, and propose strategies for restricting mobility so that the restrictions are minimal while the infection spread is effectively limited. We consider restrictions where the country is divided into regions, and study scenarios where mobility is allowed within these regions, and disallowed between them. We propose heuristic methods to approximate optimal choices for these regions. We evaluate the obtained restrictions based on our trade-off. The results show that our methods are especially effective when the infections are highly concentrated, e.g., around a few municipalities, as resulting from superspreading events that play an important role in the spread of COVID-19. We demonstrate our method in the example of the Netherlands. The results apply more broadly when mobility data is available

Data-driven physics-based modeling of pedestrian dynamics - dataset: Pedestrian trajectories at Eindhoven train station Creators

Pedestrian trajectories measured at train station Eindhoven Centraal (the Netherlands) on platform 2 with acces to tracks 3 and 4