nanoconfinement_sims | nanofinement simulations in 3D nanorpores

by je-santos Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | nanoconfinement_sims Summary

nanoconfinement_sims is a Python library. nanoconfinement_sims has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Code to carry-out nanofinement simulations in 3D nanorpores with an arbitrary shape using LAMMPS

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Support

nanoconfinement_sims has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

nanoconfinement_sims has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nanoconfinement_sims is current.

Quality

nanoconfinement_sims has no bugs reported.

Security

nanoconfinement_sims has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

nanoconfinement_sims does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

nanoconfinement_sims releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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nanoconfinement_sims Key Features

No Key Features are available at this moment for nanoconfinement_sims.

nanoconfinement_sims Examples and Code Snippets

No Code Snippets are available at this moment for nanoconfinement_sims.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nanoconfinement_sims

You can download it from GitHub.
You can use nanoconfinement_sims like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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