Statistical Machine Learning and Compressed Sensing Approaches for Analytical Electron Tomography - Application to Phase Change Materials

Microscopy and Microanalysis(2019)

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Abstract
Journal Article Statistical Machine Learning and Compressed Sensing Approaches for Analytical Electron Tomography - Application to Phase Change Materials Get access Martin Jacob, Martin Jacob Univ. Grenoble Alpes, CEA-LETI, Grenoble, France Corresponding author: martin.jacob@cea.fr Search for other works by this author on: Oxford Academic Google Scholar Loubna El Gueddari, Loubna El Gueddari CEA-NeuroSpin, Bât 145 Gif-sur Yvette, France Search for other works by this author on: Oxford Academic Google Scholar Gabriele Navarro, Gabriele Navarro Univ. Grenoble Alpes, CEA-LETI, Grenoble, France Search for other works by this author on: Oxford Academic Google Scholar Marie-Claire Cyrille, Marie-Claire Cyrille Univ. Grenoble Alpes, CEA-LETI, Grenoble, France Search for other works by this author on: Oxford Academic Google Scholar Pascale Bayle-Guillemaud, Pascale Bayle-Guillemaud Univ. Grenoble Alpes, CEA-INAC, MEM, Grenoble, France Search for other works by this author on: Oxford Academic Google Scholar Philippe Ciuciu, Philippe Ciuciu CEA-NeuroSpin, Bât 145 Gif-sur Yvette, France Search for other works by this author on: Oxford Academic Google Scholar Zineb Saghi Zineb Saghi Univ. Grenoble Alpes, CEA-LETI, Grenoble, France Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 25, Issue S2, 1 August 2019, Pages 156–157, https://doi.org/10.1017/S143192761900151X Published: 01 August 2019
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Key words
analytical electron tomography,compressed sensing approaches,phase change materials,statistical machine learning
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