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DUNN__MD_292677547454_000

Title
A single sentence description.
A dropout uncertainty neural network (DUNN) model driver v000
Description A dropout uncertainty neural network (DUNN) potential model driver, which supports running in both fully-connected mode and dropout mode. The DUNN can be used easily to quantify the uncertainty in atomistic simulations and determine the transferability of potential.
Disclaimer
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None
Contributor Mwen
Maintainer Mwen
Creator Mingjian Wen
Publication Year 2019
Item Citation

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

[1] Wen M, Tadmor EB. Uncertainty quantification in molecular simulations with dropout neural network potentials. 2019;

[2] A dropout uncertainty neural network (DUNN) model driver v000. OpenKIM; 2019. doi:10.25950/9573ca43

[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.
Funding Not available
Short KIM ID
The unique KIM identifier code.
MD_292677547454_000
Extended KIM ID
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DUNN__MD_292677547454_000
DOI 10.25950/9573ca43
https://doi.org/10.25950/9573ca43
https://search.datacite.org/works/10.25950/9573ca43
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.
97.47% C++
2.53% Shell



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