Amp: Atomistic Machine-learning Potentials¶
Welcome to Amp documentation! This project is being developed at Brown University in the School of Engineering, primarily by Andrew Peterson and Alireza Khorshidi, and is released under the GNU General Public License. This is a relatively new project, so things are constantly changing!
(Note that Amp is built off of our previous project, Neural. You may still find Neural at our bitbucket page.)
Table of Contents:
- How to use Amp?
- Parallel Computing
List of All Methods: