Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

kconMD (k-Bags Convolutional Neural Network Molecular Dynamics)

python version PyPI Build Status Coverage Status codecov

Molecular Dynamics (MD) simulations supported by k-Bags Convolutional Neural Network (kCON).

Author: Jinzhe Zeng

Email: jzzeng@stu.ecnu.edu.cn

Research Group

Acknowledgement

Many thanks to Xin Chen for his help and development of kCON.

Requirements

Installation

With pip

pip install kconmd

Build from source

$ git clone https://github.com/njzjz/kconmd
$ cd kconmd/
$ pip install .

Examples

Simple example

See examples/example.py.

Client–server model

See examples/server.py and examples/client.py.

Run MD with LAMMPS

See njzjz/Pyforce repository and install Pyforce module. Then rename examples/client.py as force.py and put it where you run LAMMPS. Add a line in the LAMMPS input file:

fix 1 all pyforce C H O

Metadata

Release files for kconmd 1.0.17

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for kconmd 1.0.17
File Size Uploaded Provenance
kconmd-1.0.17.tar.gz 1.4 MB Without provenance Details

Release files / kconmd-1.0.17.tar.gz

Download URL kconmd-1.0.17.tar.gz
Size 1.4 MB
Tags Source
SHA-256 checksum
How to use checksums
137d54740d94955cf0d251c1e9b9c71bf4697eea7737f022e41c759593d7fce5
BLAKE2b-256 checksum
How to use checksums
509a871b6f6504bbb4aa7351034be24b5a59af40999a5afbefa49cf2434df25d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.2

Security for kconmd 1.0.17

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page