Machine learning in nanoscience: big data at small scales
dc.contributor.author | Brown, Keith A. | |
dc.contributor.author | Brittman, Sarah | |
dc.contributor.author | Maccaferri, Nicolo | |
dc.contributor.author | Jariwala, Deep | |
dc.contributor.author | Celano, Umberto | |
dc.date.accessioned | 2021-10-28T20:30:00Z | |
dc.date.available | 2021-10-28T20:30:00Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1530-6984 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/34825 | |
dc.source | IIOimport | |
dc.title | Machine learning in nanoscience: big data at small scales | |
dc.type | Journal article | |
dc.contributor.imecauthor | Celano, Umberto | |
dc.contributor.orcidimec | Celano, Umberto::0000-0002-2856-3847 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 2 | |
dc.source.endpage | 10 | |
dc.source.journal | Nano Letters | |
dc.source.issue | 1 | |
dc.source.volume | 20 | |
dc.identifier.url | https://doi.org/10.1021/acs.nanolett.9b04090 | |
imec.availability | Published - imec |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |