Physics-Guided Machine Learning for the Analysis of Low SNR STEM-EDXS Data
Source abstract
Abstract
Adrien Teurtrie, Nathanaël Perraudin, Thomas Holvoet, Hui Chen, Duncan T L Alexander, Guillaume Obozinski, Cécile Hébert; Physics-Guided Machine Learning f
Only a short abstract or summary was supplied by the source.
Source: openalex_inverted_index · Quality: short
Research context
OpenAlex topics: Electron and X-Ray Spectroscopy Techniques · Machine Learning in Materials Science · X-ray Spectroscopy and Fluorescence Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Physics Electron Spectrometry and Microscopy Laboratory, , EPFL, Lausanne
Université de Lille Current address : Unité Matériaux et Transformations, UMET, UMR-CNRS 8207, , France
EPFL and ETH Zürich Swiss Data Science Center, , Lausanne and Zürich
Ghent University , Ghent
References (6)
Show source-provided references
1. Lee · Nature · 1999 · 40110.1038/44565 ↗
2. Bote · Atomic Data and Nuclear Data Tables · 2009 · 95 · 87110.1016/j.adt.2009.08.001 ↗
3. Schoonjans · Spectrochimica Acta Part B · 2011 · 66 · 77610.1016/j.sab.2011.09.011 ↗
4. Lifshin
5. Nabiei · Geophysical Research Letters · 2021 · 4810.1029/2021GL092446 ↗
6. Pedregosa · Journal of Machine Learning Research · 2011 · 12 · 2825