Biography
(只提供英文版)
- Professor in Department of Applied Physics at The Hong Kong Polytechnic University
- Research interests include 2D materials, electron microscopy, nanomaterials
- RFS project — In 2D bilayer h-BN or 2D TMDs, the Moiré pattern in marginally twisted bilayers aligns with the out-of-plane ferroelectric domain pattern. The domain structures (e.g., AB or BA stacking area) can be controlled by an external electric field. This project aims to explore the dissipation, fatigue and domain switching mechanisms of these innovative vdW 2D ferroelectrics, with a specific focus on domain wall kinetics. It will consider the influence of twist angles and stacking orders. Larger twist angles or cases of incommensurate stacking may introduce low friction interlayer sliding or even superlubricity in between the layers, potentially exhibiting even lower dissipation compared to marginally twisted bilayers for domain wall motion. Moreover, the unique in-plane vortex domain structures in twisted bilayers might introduce novel domain wall dynamics and inspire the development of future device structures. The objective of this project is to minimize energy dissipation for the domain kinetics and minimize fatigue for the ferroelectric switching, with the ultimate goal of achieving ultrafast speed, minimal energy loss, fatigue-free and optimal recyclability in 2D twisting-layered ferroelectric devices.
- Awards and Honours:
- RGC Research Fellow (2025)
- NSFC Distinguished Young Scholar (2025)
- Hong Kong Academy of Engineering, Young Member Section (YMS) (2025)
Project Title
(只提供英文版)
- From Slidetronics to Twistronics: A Twisting Platform for Dissipationless Ferroelectricity
赞词
赵炯教授获得香港研资局「研究学者计划」资助,旨在探索创新型范德华二维铁电体的耗散、疲劳和畴切换机制,并特别关注畴壁动力学。
在二维双层h-BN或二维TMD中,边缘扭转双层中的穆尔条纹与平面外铁电畴图案一致。畴结构(例如AB或BA堆迭区域)可以透过外部电场控制。相邻范德华(vdW)层之间的铁电畴壁运动能够实现超快且稳定的「滑动电子学」和「扭转电子学」,同时最大程度地减少电荷钉扎和机械摩擦,为未来的铁电器件带来光明的前景。
这项计划将考虑扭转角和堆迭顺序的影响。较大的扭曲角或不相称堆迭的情况可能会在层间引入低摩擦层间滑动甚至超润滑,与小扭曲的双层相比,畴壁运动可能表现出更低的耗散。此外,扭曲双层中独特的平面内涡旋畴结构可能会引入新的畴壁动力学并启发未来器件结构的发展。 二维扭曲层状铁电器件中实现超快的速度、最小的能量损失、无疲劳和最佳的可重复性。












