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Published March 5, 2020 | Version v1
Software Open

GPrep

Authors/Creators

  • Engelmann, Artur1
  • Margraf, Johannes1 ORCID icon
  • 1. Technical University Munich

Description

Python package for fitting repulsive potentials in Density Functional Tight Binding theory with Gaussian Process Regression.

Files

gprep-release_v1.0.zip

Files (4.6 MB)

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gprep-release_v1.0.zip
md5:91ba9825dcb859cf4869b4b263f62377
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416
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101
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416 412
Downloads

Total downloads

101 101
Data volume

Total data volume

520.8 MB 520.8 MB

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External resources

Indexed in
  • OpenAIRE

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Keywords and subjects

Keywords

  • DFTB
  • GPR

Details

DOI
10.5281/zenodo.3697913
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DOI

10.5281/zenodo.3697913

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Resource type
Software
Publisher
Zenodo

Rights

License
cc-by-4.0 icon Creative Commons Attribution 4.0 International
The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Technical metadata

Created
March 5, 2020
Modified
March 5, 2020

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