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Published July 12, 2023 | Version v2

Supplementary data (CC BY 4.0): A reactive neural network framework for water-loaded acidic zeolites

  • 1. Department of Physical and Macromolecular Chemistry, Charles University, Hlavova 8, 128 43 Praha 2

Description

Content (Creative Commons Attribution 4.0 International):

  1. Energy and force data (ASE trajectory files) calculated at the DFT (SCAN+D3(BJ)), NNP and ReaxFF level for error statistics of the NNP generalization tests
  2. Trajectories of NNP level MD simulations (ASE trajectory files) for all generalization tests
  3. Trajectories for all NEB calculations

Trained Neural Network Potentials NNPs including the Δ-learned model (SchNetPack, version 1.0) are available in another Zenodo repository version under CC BY-NC-SA 4.0 license (https://doi.org/10.5281/zenodo.8139369) for non-commercial use only.

Files

error_stats.zip

Files (4.3 GB)

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md5:10aeded4f376ef3a3ef8cea3382bc530
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md5:1a37e2c6789ff18bda0dd3ef6c510a5c
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md5:44b4319327989ac20f4668f034554c3f
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Additional details

Related works

Is supplemented by
Preprint: arXiv:2307.00911 (arXiv)