INF203: Lecture material
autocorrelation-statsmodels.ipynb
Compute the autocorrelation of a time series using statsmodels
block-averaging.ipynb
Block averaging for uncertainty estimation from a time series
configuration.xyz
Example configuration file in
XYZ format
decorrelation.ipynb
Illustrates the concept of the decorrelation time and how to compute it
nok-eur.ipynb
and
nok.xml
Example application of regression and block averaging to time series data
pyproject.toml
Sample TOML file for a Python project
simulation_pytest_example.py
Specifying a unit test using
pytest
trajectory.xyz
Trajectory of a MC simulation of the reference scenario in
XYZ format
, with one frame taken every 200 steps
vap-0.80-reference.json
and
vle-0.80-reference.json
Example simulation input files in JSON format (
N
= 20 and 162 molecules, respectively)
Index