Skip to main content

Toolkit to design, run and analyze ML-MCTDH(X) simulations

Project description

mlxtk

PyPI PyPI - Python Version PyPI - License

Toolkit to design, run and analyze ML-MCTDH(X) simulations

Description

mlxtk gives the user a simple interface to setup physical systems and provides common simulation tasks to be used as building blocks to set up rather complex simulations. Data is automatically stored in efficient formats (i.e. HDF5 and gzipped files).

Simulations can also be used in the context of parameter scans where each simulation is executed for each specified parameter combination. Submission of simulation jobs to computing clusters is easily achieved from the command line.

Furthermore, analysis and plotting tools are provided to interpret the simulation outcome.

Project details


Download files

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

Files for mlxtk, version 0.8.0
Filename, size File type Python version Upload date Hashes
Filename, size mlxtk-0.8.0-py3-none-any.whl (140.1 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size mlxtk-0.8.0.tar.gz (78.3 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page