On April 15, 2023, the MLIP-2 code went open-source. It is now available under the BSD license essentially requiring the users only acknowledging the use of the software. If you publish paper based on the MLIP-2 software, please cite I.S. Novikov, K. Gubaev, E.V. Podryabinkin, A.V. Shapeev.
Additional references that may be cited (at the discretion of the user) are:
Original MTP potentials:
 A.V. Shapeev, Moment tensor potentials: A class of systematically improvable interatomic potentials,
Multiscale Modeling and Simululation, volume 14, pages 1153-1173, 2016. (doi: 10.1137/15M1054183)
Active learning of MTP:
 E.V. Podryabinkin, A.V. Shapeev, Active Learning of Linearly Parametrized Interatomic Potentials,
Computational Materials Science, volume 140, pages 171-180, 2017. (doi: 10.1016/j.commatsci.2017.07.010)
 Konstantin Gubaev, Evgeny V. Podryabinkin, Gus L. W. Hart, Alexander V. Shapeev,
Accelerating high-throughput searches for new alloys with active learning of interatomic potentials,
Computational Materials Science, volume 156, pages 148-156, 2019. (doi: 10.1016/j.commatsci.2017.08.031)
You can download the software by simply cloning repository, e.g., by running
git clone https://gitlab.com/ashapeev/mlip-2.git
The materials available for you to get started are
We strive to have clear documentation and examples to help everyone with using MLIP on their own. We will happily fix issues in the documentation and examples should you find any, however, we will not be able to offer extensive user support and training, except for our collaborators.