Skip to main content

seamm_md_analysis

GitHub Actions Build Status codecov

Analysis of molecular dynamics output for SEAMM.

seamm_md_analysis is the shared library behind SEAMM's MD analysis steps (Diffusivity, Thermal Conductivity, and later Viscosity, Structure and the Dielectric constant). It holds:

  • statistics: mean ± error over replicas, block averages, statistical inefficiency and equilibration detection (pymbar), and formatting of values with their errors;
  • correlation functions of time series, by FFT;
  • transport coefficients: collective and single-molecule Helfand moments and mean square displacements (by FFT), fits of Green–Kubo integrals and Helfand moments, and the Yeh–Hummer finite-size correction;
  • plots of these for SEAMM's .graph files;
  • readers for the time-series and trajectory files the LAMMPS step writes.

The design is in the SEAMM developer guide, campaign 2026-10-14 ("MD analysis: H5MD output, a shared library and analysis steps"). This is its phase 1.

Copyright (c) 2026, Paul Saxe

Acknowledgements

Project based on the Computational Molecular Science Python Cookiecutter version 1.11.

Metadata

Release files for seamm-md-analysis 2026.10.17.2

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

Source distribution (sdist)

Source distribution for seamm-md-analysis 2026.10.17.2
File Size Uploaded
seamm_md_analysis-2026.10.17.2.tar.gz 115.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for seamm-md-analysis 2026.10.17.2
File Interpreter ABI Platform
seamm_md_analysis-2026.10.17.2-py3-none-any.whl Python 3 none any Details

Total release size: 164.4 kB

Release files / seamm_md_analysis-2026.10.17.2.tar.gz

Download URL seamm_md_analysis-2026.10.17.2.tar.gz
Size 115.8 kB
Tags Source
SHA-256 checksum
How to use checksums
6d6c3bc06f985a1f88dfd8c37ed938ab5272c8067657345a80823b889f1dc109
BLAKE2b-256 checksum
How to use checksums
8223f3ca15c4e68c8e2c46d3ba5c68e7f42d521d4bdfca57fef3977f19e779f2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / seamm_md_analysis-2026.10.17.2-py3-none-any.whl

Download URL seamm_md_analysis-2026.10.17.2-py3-none-any.whl
Size 48.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
140e0cf961fcd096fec03446544d47b3575b700330b42e6e7fa87ff43fb81c60
BLAKE2b-256 checksum
How to use checksums
a412a5d08c15775e65b4788974f6f8d53adf21afdf5fdf734bf1d91a41de0c91
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14
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