Joint Research Activities in ESTEEM3: Submission of 6 deliverables
In April 2020, 6 deliverables have been submitted to the European Commission regarding Joint Research Activities in ESTEEM3. Within the project, Joint Research Activities (JRA) focus on the development of the advanced TEM methods required for the solution of key problems in materials and nanoscience.
One deliverable was submitted for JRA1 (Development of Advances TEM Techniques and Methologies), four related to JRA2 (TEM Solutions for Materials Problems) and one for JRA3 (Data Acquisition and Analysis in TEM).
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JRA1: Development of Advances TEM Techniques and Methologies
D4.1 Report on comparison of approaches to electron ptychography. Executive Summary: Electron ptychography describes a family of methods to enable phase retrieval from TEM and STEM imaging (and has also been demonstrated in SEM). These methods can be leveraged to enable lowdose, high-contrast, wide field-of-view and exceptionally high-resolution imaging. Accordingly, the methodology chosen and which sub-category of ptychographic imaging will depend on the desired image features.
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JRA2: TEM Solutions for Materials Problems
D7.1 First report on TEM methods applied to ICT materials
D8.1 First report on TEM methods applied to materials for energy
D9.1 First report on TEM methods applied to materials for health
D10.1 First report on TEM methods applied to materials for transport
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JRA3 (Data Acquisition and Analysis in TEM
D11.1 New optimised approaches for open instrument control of multi-dimensional STEM. Executive Summary: Data acquisition and analysis in (scanning) transmission electron microscopy ((S)TEM) are undergoing radical transformations resulting from improvements in detector efficiency and computational power. This enables both better control of the microscope and analysis of the recorded data. This deliverable D11.1 “Report on new optimised approaches for open instrument control, random and sparse sampling, machine learning, big data acquisition and automated analysis for multidimensional STEM” summarises recent developments associated with ESTEEM3 towards a paradigm shift in automated analysis for multi-dimensional STEM.