autoplex documentation

autoplex documentation

autoplex documentation#

Date: Oct 22, 2024

Useful links: Source Repository | Issues & Ideas |

autoplex is a software tool for the automated generation and benchmarking of machine learning (ML)-based interatomic potentials. The aim of autoplex is to provide a fully automated solution for creating high-quality ML potentials. The software is interfaced to multiple different ML potential fitting frameworks and to the atomate2 and ase environment for efficient high-throughput computations. The vision of this project is to allow a wide community of researchers to create accurate and reliable ML potentials for materials simulations.

User Guide

The user guide provides information for getting started with autoplex.

Tutorials

Tutorials for using autoplex.

API reference

The reference guide contains a detailed description of the autoplex API. It assumes that you have a broad understanding of the key concepts.

Contributing Guide

Do you want to develop your own workflows or improve existing functionalities? Check out the contributing Guide.