Objective
The ongoing miniaturization in nanotechnology and functional materials puts an ever increasing focus on the development of three-dimensional (3D) nanostructures, such as quantum dot arrays, structured nanowires, or non-trivial topological magnetic textures such as skyrmions, which permit a better performance of logical or memory devices in terms of speed and energy efficiency. To develop and advance such technologies and to improve the understanding of the underlying fundamental solid state physics effects, the nondestructive and quantitative 3D characterization of physical, e.g. electric or magnetic, fields down to atomic resolution is indispensable. Current nanoscale metrology methods only inadequately convey this information, e.g. because they probe surfaces, record projections, or lack resolution. AToM will provide a ground-breaking tomographic methodology for current nanotechnology by mapping electric and magnetic fields as well as crucial properties of the underlying atomic structure in solids, such as the chemical composition, mechanical strain or spin configuration in 3D down to atomic resolution. To achieve that goal, advanced holographic and tomographic setups in the Transmission Electron Microscope (TEM) are combined with novel computational methods, e.g. taking into account the ramifications of electron diffraction. Moreover, fundamental application limits are overcome (A) by extending the holographic principle, requiring coherent electron beams, to quantum state reconstructions applicable to electrons of any (in)coherence; and (B) by adapting a unique in-situ TEM with a very large sample chamber to facilitate holographic field sensing down to very low temperatures (6 K) under application of external, e.g. electric, stimuli. The joint development of AToM in response to current problems of nanotechnology, including the previously mentioned ones, is anticipated to immediately and sustainably advance nanotechnology in its various aspects.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologynanotechnology
- natural sciencescomputer and information sciencessoftwaresoftware development
- natural sciencesphysical sciencesopticsmicroscopy
- natural sciencescomputer and information sciencescomputational science
- natural sciencesphysical sciencescondensed matter physicssolid-state physics
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Programme(s)
Topic(s)
Funding Scheme
ERC-STG - Starting GrantHost institution
01069 Dresden
Germany