This repository contains data, code, and related artefacts supporting the following publication:
"Heat flux for semi-local machine-learning potentials"
Marcel F. Langer, Florian Knoop, Christian Carbogno, Matthias Scheffler, and Matthias Rupp
arXiv:2303.14434
doi: TBD
The repository is organised as follows:
infrastructure/: project-specific softwareresults/: raw data used to produce figures and tablesplots/: figures, tables, and the scripts used to generate themdft/: input files and trajectories for training data and other first-principles calculationstrain/: model training input files, losses, logsrun/: input files and related data for production runs with the MLP, including phonons, VDOS, GK, ...generate/: scripts used to generate this repository.
Subfolders contain additional README.md files detailing dependencies and other relevant information.
The primary objective of this repository is to clarify the workflows and methods used to obtain the results in the publication. Not all code is intended to be used in unrelated settings, or can be expected to execute directly.
If your goal is to build on the methods developed in the paper, we recommended to instead take a look at glp, which presents a generic implementation of the heat flux in jax. Full jax-based workflows to run Green-Kubo simulations are also in development.
The training trajectories are also available on the NOMAD repository under DOI 10.17172/NOMAD/2023.03.24-2.
For any further questions, feel free to contact mail@marcel.science, @marceldotsci on twitter, or @marcel@sigmoid.social.
v1.0: version for the initial arXiv upload (archived at doi:10.5281/zenodo.7767432)v1.1: version for arXiv version 2. (fixed some issues related to figures, no other changes)