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Active Particles Moving on Adjustable Networks

Authors: William G C Oropesa; Pablo de Castro; Hartmut Löwen; Danilo B. Liarte;

Active Particles Moving on Adjustable Networks

Abstract

This release contains the simulation code used in the study: Transport Properties of Active Particles Moving on Adjustable NetworksWilliam G. C. Oropesa, P. de Castro, Hartmut Löwen, Danilo B. Liarte Associated publication ArXiv: https://arxiv.org/abs/2602.04732 Overview This repository provides a CUDA-based implementation for simulating active particles moving on dynamically adjustable networks. The code includes numerical tools to study transport properties. Main Features GPU-accelerated simulation of active particle dynamics Adaptive network evolution rules Transport observables measurement Reproducibility This version corresponds to the code used to generate the numerical results reported in the associated manuscript. Example parameters and scripts are included to facilitate reproduction of the main results. Requirements CUDA Toolkit GCC and NVCC compilers Data Availability Simulation datasets are provided in the Zenodo archive associated with this release. Citation If you use this code in your research, please cite: Oropesa, W. G. C., de Castro, P., Löwen, H., & Liarte, D. B. Transport Properties of Active Particles Moving on Adjustable Networks. arXiv:2602.04732 License Please refer to the LICENSE file included in this repository.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average