A Python interface for ab initio path integral molecular dynamics simulations (and more). i-PI is a Python server (that does not need to be compiled and only requires a relatively recent version of Python and Numpy) that applies an algorithm to update the positions of the nuclei. One of many compatible external codes acts as client, and computes the electronic energy and forces.
This is typically a patched version of an electronic structure code, but a simple self-contained Fortran driver that implements several simple interatomic potentials is included for test purposes.
i-PI was originally developed to simulate the quantum mechanical nature of light nuclei by performing path integral molecular dynamics simulations, and it implements most of the state-of-the-art methods to accelerate this kind of calculations. It has since grown to also provide all sorts of simulation strategies, from replica exchange to geometry optimization.
If you use i-PI in your research, please cite the accompanying publication: for version 3, the relevant paper is Litman et al., J. Chem. Phys. 161, 062504 (2024)
@article{litman2024ipi,
title={i-PI 3.0: a flexible and efficient framework for advanced atomistic simulations},
author={Yair Litman and Venkat Kapil and Yotam M. Y. Feldman and Davide Tisi and Tomislav Begušić and Karen Fidanyan and Guillaume Fraux and Jacob Higer and Matthias Kellner and Tao E. Li and Eszter S. Pós and Elia Stocco and George Trenins and Barak Hirshberg and Mariana Rossi and Michele Ceriotti},
journal = {J. Chem. Phys.},
pages = {062505},
volume = {161},
year = {2024}
}
To use i-PI with an existing driver, install and update using pip
:
Last version:
python -m pip install git+https://github.com/i-pi/i-pi.git
Last Release:
pip install -U ipi
To develop i-PI or test it with the self-contained driver, follow these instructions. It is assumed that i-PI will be run from a Linux environment, with a recent version of Python, Numpy and gfortran, and that the terminal is initially in the i-pi package directory (the directory containing this file), which you can obtain by cloning the repository
git clone https://github.com/i-pi/i-pi.git
Source the environment settings file env.sh
as source env.sh
or . env.sh
. It is useful to put this in your .bashrc
or other settings file if
you always want to have i-PI available.
The built-in driver requires a FORTRAN compiler, and can be built as
cd drivers/f90
make
cd ../..
There is also a Python driver available in drivers/py
, which however has limited
functionalities.
The examples
and demos
folders contain inputs for many different types of
calculations based on i-PI. Examples are typically minimal use-cases of specific
features, while demos are more structured, tutorial-like examples that show how
to realize more complex setups, and also provide a brief discussion of the
underlying algorithms.
To run these examples, you should typically start i-PI, redirecting the output to
a log file, and then run a couple of instances of the driver code. The progress
of the wrapper is followed by monitoring the log file with the tail
Linux command.
Optionally, you can make a copy of the directory with the example somewhere else if you want to keep the i-PI directory clean. For example
cd demos/para-h2-tutorial/tutorial-1/
i-pi tutorial-1.xml > log &
i-pi-driver -a localhost -p 31415 -m sg -o 15 &
i-pi-driver -a localhost -p 31415 -m sg -o 15 &
tail -f log
The monitoring can be interrupted with CTRL+C when the run has finished (5000 steps).
The automatic test suite can be run by calling the i-pi-tests script.
You need to have the pytest
package installed
i-pi-tests
You may also need to install some dependencies, listed in requirements.txt
.
See more details in the README file inside the ipi_tests
folder.
If you have new features you want to implement into i-PI, your contributions are much welcome.
See CONTRIBUTING.md
for a brief set of style guidelines and best practices. Before embarking
into a substantial project, it might be good to get in touch with the developers, e.g. by opening
a wishlist issue.