Composite-ufjc-scission

Latest version: v1.4.0

Safety actively analyzes 681812 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 1 of 2

1.4.0

This is the Python package for the composite uFJC with scission.

This package corresponds to "A statistical mechanics framework for polymer chain scission, based on the concepts of distorted bond potential and asymptotic matching" by Jason Mulderrig (jasonmulderrig), Brandon Talamini (btalamini), and Nikolaos Bouklas (bouklas), [Journal of the Mechanics and Physics of Solids 174, 105244 (2023)](https://www.sciencedirect.com/science/article/pii/S0022509623000480).

It was written for Python 3, and uses some typical packages: numpy, scipy, and matplotlib.

Please find more information on installation, usage, and examples [here](https://github.com/jasonmulderrig/composite-uFJC-scission).

1.3.8

This is the Python package for the composite uFJC with scission.

This package corresponds to "A statistical mechanics framework for polymer chain scission, based on the concepts of distorted bond potential and asymptotic matching" by Jason Mulderrig (jasonmulderrig), Brandon Talamini (btalamini), and Nikolaos Bouklas (bouklas), [Journal of the Mechanics and Physics of Solids 174, 105244 (2023)](https://www.sciencedirect.com/science/article/pii/S0022509623000480).

It was written for Python 3, and uses some typical packages: numpy, scipy, and matplotlib.

Please find more information on installation, usage, and examples [here](https://github.com/jasonmulderrig/composite-uFJC-scission).

1.3.7

This is the Python package for the composite uFJC with scission.

This package corresponds to "A statistical mechanics framework for polymer chain scission, based on the concepts of distorted bond potential and asymptotic matching" by Jason Mulderrig (jasonmulderrig), Brandon Talamini (btalamini), and Nikolaos Bouklas (bouklas), [Journal of the Mechanics and Physics of Solids 174, 105244 (2023)](https://www.sciencedirect.com/science/article/pii/S0022509623000480).

It was written for Python 3, and uses some typical packages: numpy, scipy, and matplotlib.

Please find more information on installation, usage, and examples [here](https://github.com/jasonmulderrig/composite-uFJC-scission).

1.3.6

This is the Python package for the composite uFJC with scission.

This package corresponds to "A statistical mechanics framework for polymer chain scission, based on the concepts of distorted bond potential and asymptotic matching" by Jason Mulderrig (jasonmulderrig), Brandon Talamini (btalamini), and Nikolaos Bouklas (bouklas), Journal of the Mechanics and Physics of Solids (2023).

It was written for Python 3, and uses some typical packages: numpy, scipy, and matplotlib. It also requires the use of numquad, a Python package used for numerical quadrature (i.e., numerical integration). numquad itself depends on the Python packages orthogpoly and multidim.

Please find more information on installation, usage, and examples [here](https://github.com/jasonmulderrig/composite-uFJC-scission).

1.3.5

This is the Python package for the composite uFJC with scission.

This package corresponds to "A statistical mechanics framework for polymer chain scission, based on the concepts of distorted bond potential and asymptotic matching" by Jason Mulderrig (jasonmulderrig), Brandon Talamini (btalamini), and Nikolaos Bouklas (bouklas), Journal of the Mechanics and Physics of Solids (2023).

It was written for Python 3, and uses some typical packages: numpy, scipy, and matplotlib. It also requires the use of the latest version of quadpy, a Python package used for numerical integration (which itself depends on the Python package orthopy).

Please find more information on installation, usage, and examples [here](https://github.com/jasonmulderrig/composite-uFJC-scission).

1.3.4

This is the Python package for the composite uFJC with scission.

This package corresponds to "A statistical mechanics framework for polymer chain scission, based on the concepts of distorted bond potential and asymptotic matching" by Jason Mulderrig (jasonmulderrig), Brandon Talamini (btalamini), and Nikolaos Bouklas (bouklas), Journal of the Mechanics and Physics of Solids (2023).

It was written for Python 3, and uses some typical packages: numpy, scipy, and matplotlib. It also requires the use of the latest version of quadpy, a Python package used for numerical integration (which itself depends on the Python package orthopy).

Please find more information on installation, usage, and examples [here](https://github.com/jasonmulderrig/composite-uFJC-scission).

Page 1 of 2

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.