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.|
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
This Model Driver originally published in  is archived in OpenKIM [2-4].
 Wen M, Tadmor EB. Uncertainty quantification in molecular simulations with dropout neural network potentials. 2019;
 A dropout uncertainty neural network (DUNN) model driver v000. OpenKIM; 2019. doi:10.25950/9573ca43
 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
 Elliott RS, Tadmor EB. Knowledgebase of Interatomic Models (KIM) Application Programming Interface (API). OpenKIM; 2011. doi:10.25950/ff8f563aClick here to download the above citation in BibTeX format.
|Short KIM ID
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|Extended KIM ID
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|KIM Item Type||Model Driver|
|KIM API Version||2.0|
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