2021
DOI: 10.21105/joss.03653
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SiSyPHE: A Python package for the Simulation of Systems of interacting mean-field Particles with High Efficiency

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Cited by 4 publications
(2 citation statements)
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“…The molecular simulation results were confirmed through the mean-field particle simulation of the water system using Python programming language with SiSyPHE library [17]. The algorithm used was self-propelling algorithm which assumed that each particle is moving with the speed as specified in equation ( 1) [18].…”
Section: Methodsmentioning
confidence: 99%
“…The molecular simulation results were confirmed through the mean-field particle simulation of the water system using Python programming language with SiSyPHE library [17]. The algorithm used was self-propelling algorithm which assumed that each particle is moving with the speed as specified in equation ( 1) [18].…”
Section: Methodsmentioning
confidence: 99%
“…Simulating mean-field particle systems is relatively easy though computationally expensive when the number of particles becomes large. In order to simulate the particle system with up to 3.5 millions particles, we rely on the highly-efficient GPU framework introduced in the SiSyPHE library [38] which is based on the KeOps library [13]. The SiSyPHE library is a versatile Python library designed for the simulation of collective dynamics models which already includes classical models such as the Vicsek model.…”
Section: Particle Schemementioning
confidence: 99%