A python package to analyze ``lnPi`` data from Transition Matrix Monte Carlo(TMMC) simulation. The main output from TMMC simulations, ``lnPi``, provides a means to calculate a host of thermodynamicproperties. Moreover, if ``lnPi`` is calculated at a specific chemical potential, it can be reweighted to providethermodynamic information at a different chemical potential. The python package``tmmc-lnpy`` provides a wide array of routines to analyze ``lnPi`` data. These include:* Reweighting to arbitrary chemical potential* Segmenting ``lnPi`` (to identify unique phases)* Containers for interacting with several values of ``lnPi`` in a vectorized way.* Calculating thermodynamic properties from these containers* Calculating limits of stability, and phase equilibrium
About this Dataset
Title | tmmc-lnpy: A python package to analyze Transition Matrix Monte Carlo lnPi data. |
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Description | A python package to analyze ``lnPi`` data from Transition Matrix Monte Carlo(TMMC) simulation. The main output from TMMC simulations, ``lnPi``, provides a means to calculate a host of thermodynamicproperties. Moreover, if ``lnPi`` is calculated at a specific chemical potential, it can be reweighted to providethermodynamic information at a different chemical potential. The python package``tmmc-lnpy`` provides a wide array of routines to analyze ``lnPi`` data. These include:* Reweighting to arbitrary chemical potential* Segmenting ``lnPi`` (to identify unique phases)* Containers for interacting with several values of ``lnPi`` in a vectorized way.* Calculating thermodynamic properties from these containers* Calculating limits of stability, and phase equilibrium |
Modified | 2022-09-13 00:00:00 |
Publisher Name | National Institute of Standards and Technology |
Contact | mailto:[email protected] |
Keywords | Python , Molecular simulation , Data analysis , Transition Matrix Monte Carlo , Statistical mechanics |
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