stp 0.0.1.5

Stochastic Thermodynamics in Python

Stochastic Thermodynamics in Python (STP)

Python library to construct random quantities and track their information-theoretic properties. These objects include continuous time rate matrices, discrete time transition matrices, and matrices representing 3-state self assembly models.

Status: in progress · Documentation · Notion Roadmap »

Installation

This package is pip-installable.

1. Install via pip.

   python3 -m pip install stp
   

2. Import the package

   import stp
   

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Usage

Generating a 3-state time-dependent self-assembly model with this package is as simple as writing

import numpy as np
import stp
# Dimensionless, time-dependent parameter for self assembly matrix
alpha = lambda t : np.cos(t) + 2
W = stp.self_assembly_rate_matrix(alpha)

# The initial matrix
print(W(0))
# [[-2.  3.  9.]
# [ 1. -3.  0.]
# [ 1.  0. -9.]]

# A later matrix
print(W(1))
# [[-2.          2.54030231  6.45313581]
# [ 1.         -2.54030231  0.        ]
# [ 1.          0.         -6.45313581]]

For more examples, please refer to the Documentation.

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Roadmap

Refer to the Notion Roadmap for the state of the project.

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Contact

Created by Jonathan Delgado.

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