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Embedded Nanoscale Ferroelectric Dynamics: Characterisation and Control of Domain Wall Motion for Reconfigurable Functional Materials

Project description

How material boundary control leads to reconfigurable nanoscale devices

Ferroelectric domain walls are tiny boundaries inside materials that behave differently from the rest of the material. For example, they can move and change shape when exposed to external factors such as electric fields or strain, exhibiting enhanced conductivity or unusual polarisation patterns. However, it is difficult to fully understand and control their motion at such small scales. With the support of the Marie Skłodowska-Curie Actions programme, the ENFOLD project will leverage the potential of scanning electron microscopy and machine learning techniques to more thoroughly study these walls. The proposed research will enable scientists to design materials and devices that can be reconfigured on demand, opening up exciting possibilities for future technologies.

Objective

Ferroelectric domain walls are dynamic nanoscale interfaces with functional properties distinct from the bulk, offering a potential route to next-generation nanoelectronics and platform for studying exotic topological states. They can be created, moved, and reconfigured by external stimuli including electric fields, strain, and temperature, enabling reversible control of conductivity and other local responses. Recent discoveries have suggested that complex polar topology can emerge dynamically during domain wall motion, with the prospect of realising multiferroicity in non-magnetic systems. Yet, systematic control has been limited by the difficulty of probing and directing these dynamics at the necessary length scales.
ENFOLD aims to exploit the unique capabilities of scanning transmission electron microscopy (STEM) to systematically control the motion of ferroelectric domain walls and characterise the emergent behavior associated with domain wall dynamics at high spatial resolution. STEM offers multimodal sensitivity to structure, polarisation, strain, and electronic states, and allows in situ application of electric fields to drive domain wall dynamics. By coupling these measurements with advanced machine learning approaches, ENFOLD will overcome bottlenecks in disentangling polar, elastic, and magnetic signatures from complex datasets, and enable closed-loop, systematic control of domain wall motion to tune and optimise functional properties.
By moving beyond static characterisation, conventional analyses, and manual control approaches, ENFOLD will establish a mechanistic nanoscale understanding of how electric fields drive domain wall motion and the emergence of novel embedded phases. This will provide the foundation for the systematic, on-demand design of reconfigurable ferroelectric domain wall devices, addressing a critical gap in the field.

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 260 347,92
Address
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ London
United Kingdom

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Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
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Total cost

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