Published July 18, 2023 | Version v1
Dataset Restricted

Research data for "Hydrogen under Pressure as a Benchmark for Machine-Learning Potentials"

Authors/Creators

  • 1. thomas.bischoff@uni-konstanz.de
  • 2. bastian.jaeckl@uni-konstanz.de
  • 3. gtenti@sissa.it
  • 4. matthias.rupp@list.du

Contributors

  • 1. Department of Computer Science, University of Konstanz
  • 2. ROR icon Scuola Internazionale Superiore di Studi Avanzati
  • 3. Luxembourg Institute of Science and Technology (LIST)

Description

This dataset supports the paper: "Hydrogen under Pressure as a Benchmark for Machine-Learning Potentials". The paper is online here: https://doi.org/XXXXXXXXXXXXXXXXX.

Files

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Additional details

Funding

European Commission
TREX - Targeting Real chemical accuracy at the EXascale 952165