Scanning Transmission Electron Microscopy
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This book focuses on explaining and applying the principles of machine learning-based techniques and advanced image processing methods currently used in the electron microscopy community suitable for handling large electron microscopy data sets and extracting structure-property information for various materials.

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Produktbeschreibung
This book focuses on explaining and applying the principles of machine learning-based techniques and advanced image processing methods currently used in the electron microscopy community suitable for handling large electron microscopy data sets and extracting structure-property information for various materials.
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Autorenporträt
Dr. Alina Bruma received her PhD degree in Nanoscale Physics from The University of Birmingham, UK in 2013. Dr. Bruma completed several postdoctoral stages at the Laboratory of Crystallography and Materials Science (CRISMAT-CNRS) France, University of Texas at San Antonio, USA and The National Institute of Standards and Technology, USA before moving to the American Institute of Physics Publishing in 2019. Her research has been focused on the study of crystalline structure of materials and the determination of their structure-property relationship using transmission electron microscopy and electron diffraction. Dr Bruma is also the Chairman of The Electron Diffraction sub-committee at the International Center for Diffraction Data (ICDD).