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Harnessing interpretable and unsupervised machine learning ..:
Venderley, Jordan
;
Mallayya, Krishnanand
;
Matty, Michael
...
Proceedings of the National Academy of Sciences. 119 (2022) 24 - p. , 2022
Link:
https://doi.org/10.1073/pnas.2109665119
RT Journal T1
Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction
UL https://suche.suub.uni-bremen.de/peid=cr-10.1073_pnas.2109665119&Exemplar=1&LAN=DE A1 Venderley, Jordan A1 Mallayya, Krishnanand A1 Matty, Michael A1 Krogstad, Matthew A1 Ruff, Jacob A1 Pleiss, Geoff A1 Kishore, Varsha A1 Mandrus, David A1 Phelan, Daniel A1 Poudel, Lekhanath A1 Wilson, Andrew Gordon A1 Weinberger, Kilian A1 Upreti, Puspa A1 Norman, Michael A1 Rosenkranz, Stephan A1 Osborn, Raymond A1 Kim, Eun-Ah PB Proceedings of the National Academy of Sciences YR 2022 SN 0027-8424 SN 1091-6490 JF Proceedings of the National Academy of Sciences VO 119 IS 24 LK http://dx.doi.org/https://doi.org/10.1073/pnas.2109665119 DO https://doi.org/10.1073/pnas.2109665119 SF ELIB - SuUB Bremen
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