There is a newer version of the record available.

Published April 21, 2023 | Version v1.0

Data and software: Stress and heat flux via automatic differentiation

  • 1. TU Berlin
  • 2. Linköping University

Description

glp-archive

Code and Data for "Stress and heat flux with automatic differentiation"

This repository contains data, code, and related artefacts supporting the following publication (preprint:

Stress and heat flux via automatic differentiation
by Marcel F. Langer, J. Thorben Frank, and Florian Knoop

arXiv:2305.01401

This repository is available at https://github.com/sirmarcel/glp-archive. Selected versions are archived on Zenodo, under doi:10.5281/zenodo.7852530.

Overview

Each subfolder in this repository contains a README.md with additional information. The subfolders are:

  • results/: Data and code that produced the figures in the manuscript
  • work/: Computational workflows, models, etc.
  • infra/: Project-specific infrastructure code
  • meta/: Scripts for assembling this archive; can be ignored but is retained for transparency.

Related external code

The work in this repository relies on a few tools that the authors maintain separately:

  • glp implements the quantities discussed in the manuscript
  • mlff implements the so3krates model
  • tools.mlff provides tools for the equation of state experiments

These tools were developed during the work in the manuscript. The following versions/tags reflect what was used to obtain results:

  • glp @ v0.1.0 (tag)
  • mlff @ v1.0 (branch)
  • mlff.tools @ v0.0.1

We additionally note that the GK-MD functionality has been factored out into gkx.

Versions

  • v1.0: arXiv submission v1

Files

glp-archive.zip

Files (305.9 MB)

Name Size
md5:4fed2b0b5ecb669d912ad1fb803de981
305.9 MB Preview Download

Additional details

Related works

Is supplement to
Preprint: 10.48550/arXiv.2305.01401 (DOI)

Funding

European Commission
TEC1p - Big-Data Analytics for the Thermal and Electrical Conductivity of Materials from First Principles 740233