Description
Harnessing strong dipolar fields and collective behavior of water in nanotechnology is only starting to develop now. Water under nanoscale confinement can exhibit bi modal switching and infer ferroelectricity. Water molecules could act as switches for ferric electronics, supporting the concepts of ferroelectric transistors, computing in memory, and neuromorphic (self-evolving) electronics.We present a method to produce nanoribbon network (NRN) field effect transistors (FETs) starting from almost any 2D material or their heterostacks [1]. We rely on self assembly and self alignment of organic nanostructures that act as masks/sacrificial layers [1]. We demonstrate the versatility of the method by demonstrating high performance NRN-FETs from several transition metal dichalcogenides. Later we focus on a unique edge specific collective behavior of water clusters in hBN capped graphene NRN FETs [2]. We show that the number of graphene layers in the nanoribbons plays a crucial role in anchoring of water clusters, and yielding in a very robust ferroelectric effect [2]. A molecular dynamics model is then used to simulate water cluster response under varying external electric fields. Lastly, we show that the system exhibits significant and persistent remnant fields which could be employed in ferroelectric heterostructures and neuromorphic circuits.
| Period | 28 Sept 2023 |
|---|---|
| Event title | Flatlands Beyond Graphene 2023 |
| Event type | Conference |
| Location | Prag, Czech RepublicShow on map |
| Degree of Recognition | International |