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Semi-Supervised-Learning-for-Diffraction
This is a repository for using semi-supervised learning to classify diffraction patterns
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"006:55"
]
|
| contactPoint |
{
"fn": "William D. Ratcliff",
"hasEmail": "mailto:william.ratcliff@nist.gov"
}
|
| description | This is a repository for using semi-supervised learning to classify diffraction patterns |
| distribution |
[
{
"title": "DOI Access for Semi-Supervised-Learning-for-Diffraction",
"accessURL": "https://doi.org/10.18434/mds2-2496"
},
{
"title": "Semi-supervised Learning for neutron diffraction",
"accessURL": "https://github.com/usnistgov/semi-supervised-neutron",
"description": "Semi-supervised Learning for neutron diffraction"
}
]
|
| identifier | ark:/88434/mds2-2496 |
| issued | 2021-11-09 |
| keyword |
[
"artificial intelligence",
"crystallography",
"neutron"
]
|
| landingPage | https://data.nist.gov/od/id/mds2-2496 |
| language |
[
"en"
]
|
| license | https://www.nist.gov/open/license |
| modified | 2021-10-26 00:00:00 |
| programCode |
[
"006:045"
]
|
| publisher |
{
"name": "National Institute of Standards and Technology",
"@type": "org:Organization"
}
|
| theme |
[
"Neutron Research"
]
|
| title | Semi-Supervised-Learning-for-Diffraction |
