Skip to main content

strongcoca is being developed as a sustainable, extensible, flexible and computationally efficient package for simulating coarse-grained many-body interactions in nano and mesoscale systems. A detailed description of the functionality provided as well as tutorials can be found in the user guide.

strongcoca can be installed via pip:

pip install strongcoca

strongcoca has been developed at the Department of Physics of Chalmers University of Technology (Gothenburg, Sweden) and the Department of Chemistry at the University of Jyväskylä (Finland).

If you use strongcoca in your research please cite the following paper:

  • Dipolar Coupling of Nanoparticle–Molecule Assemblies: An Efficient Approach for Studying Strong Coupling, Jakub Fojt, Tuomas P. Rossi, Tomasz J. Antosiewicz, Mikael Kuisma, and Paul Erhart, The Journal of Chemical Physics 154, 094109 (2021); doi:10.1063/5.0037853

strongcoca is based on Python3 and invokes functionality from the Python libraries listed below. To support the development of free-and-open-source-software, please make sure to give proper credit to these packages when citing strongcoca as well.

Metadata

Release files for strongcoca 1.1

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

Source distribution (sdist)

Source distribution for strongcoca 1.1
File Size Uploaded
strongcoca-1.1.tar.gz 46.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for strongcoca 1.1
File Interpreter ABI Platform
strongcoca-1.1-py3-none-any.whl Python 3 none any Details

Total release size: 109.6 kB

Release files / strongcoca-1.1.tar.gz

Download URL strongcoca-1.1.tar.gz
Size 46.5 kB
Tags Source
SHA-256 checksum
How to use checksums
007527303dfe912ae65606815472ca3f39cdf21de0d90b0c42c65a12c2c9d105
BLAKE2b-256 checksum
How to use checksums
2936742903d12d0a77b2b1a11d674f77f8a33ec5088a87735663a4f80c943228
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.6

Release files / strongcoca-1.1-py3-none-any.whl

Download URL strongcoca-1.1-py3-none-any.whl
Size 63.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6fad6db17bb35007701d20a6228b796f6c0f242ff63e584e854f8fad52dec94f
BLAKE2b-256 checksum
How to use checksums
d973d4d74d8ad495e296c87d79540a9293ba83302a6447d2d1fc29b865570828
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.6

Release history Release notifications | RSS feed

This release

1.1 This release

2 release files

1.0

2 release files

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