Journal article
(py)LIon: A package for simulating trapped ion trajectories
- Abstract:
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The (py)LIon package is a set of tools to simulate the classical trajectories of ensembles of ions in electrodynamic traps. Molecular dynamics simulations are performed using LAMMPS, an efficient and feature-rich program. (py)LIon has been validated by comparison with the analytic theory describing ion trap dynamics. Notable features include GPU-accelerated force calculations, and treating collections of ions as rigid bodies to enable investigations of the rotational dynamics of large, mesoscopic charged particles.
Programme summary
Program Title: (py)LIon
Program Files doi: http://dx.doi.org/10.17632/ywwd9nnxjh.1
Licencing provisions: MIT
Programming language: Matlab, Python
Subprograms used: LAMMPS
Nature of problem: Simulating the dynamics of ions and mesoscopic charged particles confined in an electrodynamic trap using molecular dynamics methods
Solution method: Provide a tested, feature-rich API to configure molecular dynamics calculations in LAMMPS
Unusual features: (py)LIon can treat collections of ions as rigid bodies to simulate larger objects confined in electrodynamic traps. GPU acceleration is provided through the LAMMPS package.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Preview, Accepted manuscript, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1016/j.cpc.2020.107187
Authors
- Publisher:
- Elsevier
- Journal:
- Computer Physics Communications More from this journal
- Volume:
- 253
- Article number:
- 107187
- Publication date:
- 2020-01-27
- Acceptance date:
- 2020-01-13
- DOI:
- ISSN:
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0010-4655
- Language:
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English
- Keywords:
- Pubs id:
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1089885
- Local pid:
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pubs:1089885
- Deposit date:
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2020-03-06
Terms of use
- Copyright holder:
- Elsevier B.V.
- Copyright date:
- 2020
- Rights statement:
- © 2020 Elsevier B.V.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Elsevier at https://doi.org/10.1016/j.cpc.2020.107187
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