| 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
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
|
None |
| Contributor |
Mingjian Wen |
| Maintainer |
Mingjian Wen |
| Developer |
Mingjian Wen Ellad B. Tadmor |
| Published on KIM | 2019 |
| How to Cite | |
| Funding | Not available |
| Short KIM ID
The unique KIM identifier code.
| MD_292677547454_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.
| DUNN__MD_292677547454_000 |
| DOI |
10.25950/9573ca43 https://doi.org/10.25950/9573ca43 https://commons.datacite.org/doi.org/10.25950/9573ca43 |
| KIM Item Type | Model Driver |
| KIM API Version | 2.0 |
| 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 |