ENFOLD
Embedded Nanoscale Ferroelectric Dynamics: Characterisation and Control of Domain Wall Motion for Reconfigurable Functional Materials
Ferroelectric domain walls are nanoscale interfaces whose properties differ from those of the surrounding material, and they can be created, moved, and reconfigured with electric fields, strain, and temperature. That makes them promising building blocks for reconfigurable nanoelectronics, and recent work suggests that complex polar textures can emerge while the walls are in motion.
ENFOLD uses scanning transmission electron microscopy with in situ electric biasing to drive domain walls and watch what happens, with high spatial resolution and multimodal sensitivity to structure, polarisation, strain, and electronic states. Machine learning helps disentangle the polar, elastic, and magnetic signatures in these datasets and enables closed-loop control of domain wall motion. The goal is a mechanistic understanding of how fields move domain walls and create new embedded phases, as a foundation for designing reconfigurable domain wall devices.
- Funding
- Horizon Europe, Marie Skłodowska-Curie Actions Postdoctoral Fellowship
- Grant agreement
- 101282745
- Host
- Department of Materials, Imperial College London
- Duration
- May 2026 – April 2028
Publications
This project has received funding from the European Union's Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101282745.