rigidPy: Rigidity analysis in Python

Varda F. Hagh; Mahdi Sadjadi

doi:10.1016/j.cpc.2022.108306

rigidPy: Rigidity analysis in Python

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Abstract

rigidPy is a Python package that provides a set of tools necessary for studying rigidity and mechanical response in elastic networks. It also includes suitable modules for generating new realizations of networks with applications in glassy systems and protein structures. rigidPy is available freely on GitHub and can be installed using Python Package Index (PyPi). The detailed setup information is provided in this paper, along with an overview of the mathematical framework that has been used in developing the package. Program summary: Program Title: rigidPy Licensing provisions: MIT license (MIT) Developer's repository link: github.com/vardahagh/rigidpy Programming language: Python >3.5

Original language	English (US)
Article number	108306
Journal	Computer Physics Communications
Volume	275
DOIs	https://doi.org/10.1016/j.cpc.2022.108306
State	Published - Jun 2022
Externally published	Yes

Keywords

Elasticity
Hessian
Linear response
Rigidity
Spring networks

ASJC Scopus subject areas

Hardware and Architecture
General Physics and Astronomy

Online availability

10.1016/j.cpc.2022.108306

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title = "rigidPy: Rigidity analysis in Python",

abstract = "rigidPy is a Python package that provides a set of tools necessary for studying rigidity and mechanical response in elastic networks. It also includes suitable modules for generating new realizations of networks with applications in glassy systems and protein structures. rigidPy is available freely on GitHub and can be installed using Python Package Index (PyPi). The detailed setup information is provided in this paper, along with an overview of the mathematical framework that has been used in developing the package. Program summary: Program Title: rigidPy Licensing provisions: MIT license (MIT) Developer's repository link: github.com/vardahagh/rigidpy Programming language: Python >3.5",

keywords = "Elasticity, Hessian, Linear response, Rigidity, Spring networks",

author = "{F. Hagh}, Varda and Mahdi Sadjadi",

note = "This work has been supported by National Science Foundation under grant DMS 1564468 (MS and VFH) and by Simons Foundation via award 348126 (VFH).",

year = "2022",

month = jun,

doi = "10.1016/j.cpc.2022.108306",

language = "English (US)",

volume = "275",

journal = "Computer Physics Communications",

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AU - F. Hagh, Varda

AU - Sadjadi, Mahdi

N1 - This work has been supported by National Science Foundation under grant DMS 1564468 (MS and VFH) and by Simons Foundation via award 348126 (VFH).

PY - 2022/6

Y1 - 2022/6

N2 - rigidPy is a Python package that provides a set of tools necessary for studying rigidity and mechanical response in elastic networks. It also includes suitable modules for generating new realizations of networks with applications in glassy systems and protein structures. rigidPy is available freely on GitHub and can be installed using Python Package Index (PyPi). The detailed setup information is provided in this paper, along with an overview of the mathematical framework that has been used in developing the package. Program summary: Program Title: rigidPy Licensing provisions: MIT license (MIT) Developer's repository link: github.com/vardahagh/rigidpy Programming language: Python >3.5

AB - rigidPy is a Python package that provides a set of tools necessary for studying rigidity and mechanical response in elastic networks. It also includes suitable modules for generating new realizations of networks with applications in glassy systems and protein structures. rigidPy is available freely on GitHub and can be installed using Python Package Index (PyPi). The detailed setup information is provided in this paper, along with an overview of the mathematical framework that has been used in developing the package. Program summary: Program Title: rigidPy Licensing provisions: MIT license (MIT) Developer's repository link: github.com/vardahagh/rigidpy Programming language: Python >3.5

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KW - Hessian

KW - Linear response

KW - Rigidity

KW - Spring networks

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rigidPy: Rigidity analysis in Python

Abstract

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