Skip to main content

No project description provided

Project description

This library is for calculating the Onsager coefficients in a molecular dynamics run, calculated with the generalized Einstein relation.

This code works by splicing a larger MD trajectory into N smaller subtrajetories, averaging the square displacements over those trajectories, and calculating the slope of that time series in the long time limit.

Parameters for the calculation are the LAMMPS-style dump file name, the number of subtrajectories to create, the timestep in the dump file, and the transient time.

The transient time parameter is for excluding the initial transient behavior in averaged trajectory.

With OVITO Pro, you can install this library into your OVITO interface with:

ovitos -m pip install --user onsager_coefficients

which adds a mean square displacement and a total displacement modifier to your interface. Or, for use in a standalone Python script:

pip install onsager_coefficients

An example of this repository used in a standalone script is in the example/ directory.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

onsager_coefficients-1.0.0.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

onsager_coefficients-1.0.0-py3-none-any.whl (5.1 kB view details)

Uploaded Python 3

File details

Details for the file onsager_coefficients-1.0.0.tar.gz.

File metadata

  • Download URL: onsager_coefficients-1.0.0.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for onsager_coefficients-1.0.0.tar.gz
Algorithm Hash digest
SHA256 fe391b3d055c2f267c0a33f3137e02417ee2b4a4a6a49bc40428f6745d1eb687
MD5 79e88183c7f8de43c743847c2d9a1940
BLAKE2b-256 ecfc8d2a5036058e036a634cef41713bfca38d5c6983cf7287d2f707f605eae0

See more details on using hashes here.

File details

Details for the file onsager_coefficients-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for onsager_coefficients-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fa94bbf3988768e79f7823f400dc7d71516304adfe1bc100b3696e25411cecad
MD5 52da25eca86d6c47d89593205ca81c65
BLAKE2b-256 d4ef2d79b49a0a5ff9e52c00072104fe734ef39d2a5fdab258f79e6a52873ed4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page