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Machine learning for efficient grazing-exit x-ray absorptio..:
Cakir, Cafer Tufan
;
Bogoclu, Can
;
Emmerling, Franziska
...
Machine Learning: Science and Technology. 5 (2024) 2 - p. 025037 , 2024
Link:
https://doi.org/10.1088/2632-2153/ad4253
RT Journal T1
Machine learning for efficient grazing-exit x-ray absorption near edge structure spectroscopy analysis: Bayesian optimization approach
UL https://suche.suub.uni-bremen.de/peid=cr-10.1088_2632-2153_ad4253&Exemplar=1&LAN=DE A1 Cakir, Cafer Tufan A1 Bogoclu, Can A1 Emmerling, Franziska A1 Streli, Christina A1 Guilherme Buzanich, Ana A1 Radtke, Martin PB IOP Publishing YR 2024 SN 2632-2153 JF Machine Learning: Science and Technology VO 5 IS 2 SP 025037 LK http://dx.doi.org/https://doi.org/10.1088/2632-2153/ad4253 DO https://doi.org/10.1088/2632-2153/ad4253 SF ELIB - SuUB Bremen
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