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PANNA__MD_805652781592_000

Title
A single sentence description.
Driver for PANNA v1.0.0 neural network potentials v000
Description Driver for Neural network potentials generated with PANNA v1.0.0.
This version of the model driver supports the following features for fully-connected feedforward deep neural networks:
-A modified version of Behler Parrinello descriptors
-Gaussian, ReLU and linear activations.
For more information on potential generation with PANNA, visit
https://gitlab.com/PANNAdevs/panna
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
None
Contributor kucukben
Maintainer kucukben
Author E. Kucukbenli and F. Pellegrini and R. S. Elliott
Publication Year 2019
Item Citation

This Model Driver originally published in [1] is archived in OpenKIM [2-4].

[1] Available from: https://gitlab.com/PANNAdevs/panna

[2] Kucukbenli E, Pellegrini F, Elliott RS. Driver for PANNA v1.0.0 neural network potentials v000. OpenKIM; 2019. doi:10.25950/cf495c5a

[3] Tadmor EB, Elliott RS, Sethna JP, Miller RE, Becker CA. The potential of atomistic simulations and the Knowledgebase of Interatomic Models. JOM. 2011;63(7):17. doi:10.1007/s11837-011-0102-6

[4] Elliott RS, Tadmor EB. Knowledgebase of Interatomic Models (KIM) Application Programming Interface (API). OpenKIM; 2011. doi:10.25950/ff8f563a

Click here to download the above citation in BibTeX format.
Short KIM ID
The unique KIM identifier code.
MD_805652781592_000
Extended KIM ID
The long form of the KIM ID including a human readable prefix (100 characters max), two underscores, and the Short KIM ID. Extended KIM IDs can only contain alpha-numeric characters (letters and digits) and underscores and must begin with a letter.
PANNA__MD_805652781592_000
DOI 10.25950/cf495c5a
https://doi.org/10.25950/cf495c5a
https://search.datacite.org/works/10.25950/cf495c5a
KIM Item TypeModel Driver
KIM API Version2.0
Programming Language(s)
The programming languages used in the code and the percentage of the code written in each one.
100.00% C++

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