pyPRISM | A framework for conducting polymer reference interaction
kandi X-RAY | pyPRISM Summary
kandi X-RAY | pyPRISM Summary
pyPRISM is a Python library typically used in Manufacturing, Utilities, Machinery, Process applications. pyPRISM has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyPRISM has a Non-SPDX License. You can download it from GitHub.
pyprism. . . . polymer reference interaction site model (prism) theory describes the equilibrium spatial-correlations of liquid-like polymer systems including melts, blends, solutions, block copolymers, ionomers, liquid crystal forming polymers and nanocomposites. using prism theory, one can calculate thermodynamic (e.g., second virial
pyprism. . . . polymer reference interaction site model (prism) theory describes the equilibrium spatial-correlations of liquid-like polymer systems including melts, blends, solutions, block copolymers, ionomers, liquid crystal forming polymers and nanocomposites. using prism theory, one can calculate thermodynamic (e.g., second virial
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pyPRISM has a low active ecosystem.
It has 23 star(s) with 12 fork(s). There are 6 watchers for this library.
It had no major release in the last 12 months.
There are 10 open issues and 6 have been closed. On average issues are closed in 17 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyPRISM is v1.0.4
Quality
pyPRISM has 0 bugs and 0 code smells.
Security
pyPRISM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyPRISM code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyPRISM has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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pyPRISM releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
pyPRISM saves you 1099 person hours of effort in developing the same functionality from scratch.
It has 2486 lines of code, 228 functions and 84 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pyPRISM and discovered the below as its top functions. This is intended to give you an instant insight into pyPRISM implemented functionality, and help decide if they suit your requirements.
- Calculate the solvation potential
- Compute the dot product of the matrix
- Converts a MatrixArray to real space
- Convert an array into a real power matrix
- Calculate the chi - weighted chi - matrix
- Converts a MatrixArray to Fourier space
- Convert to Fourier coefficients
- Convert to Kelvin
- Convert the temperature to Kelvin
- Return the python version
- Get git version from git repo
- Convert wavenumber to nanometer
- Converts a wavenumber to an inclination
- Calculates the probability density matrix
- Calculate the pair correlation matrix
- Calculate the cost of the function
- Invert the matrix
- Return the values at index1 index2
- Set the dk
- Write version to file
- Return an iterator over the pairs of pairs
- R Calculate the mass of a potential
- Check that the pair table is fully qualified
- Calculate spinodal condition
- Compute the two - sided pair table
- Set the distance
Get all kandi verified functions for this library.
pyPRISM Key Features
No Key Features are available at this moment for pyPRISM.
pyPRISM Examples and Code Snippets
No Code Snippets are available at this moment for pyPRISM.
Community Discussions
No Community Discussions are available at this moment for pyPRISM.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyPRISM
The commands below should install pyPRISM with all basic dependences via conda or pip. These commands should be platform agnostic and work for Linux, macOS, and Windows if you have Anaconda or pip installed. For full installation instructions please see the documentation.
Support
Code documentation is hosted on [pyprism.readthedocs.io](https://pyPRISM.readthedocs.io/). The most up to date code documentation can always be found by [compiling](http://pyprism.readthedocs.io/en/latest/install/documentation.html) from source.
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