Chemical Design of Smart Molecular/2D Devices for Information Technologies

Introduction

The final goal of 2D-SMARTiES is to develop a new generation of magnonic devices based on hybrid molecular/2D heterostructures in which a precise control of the spin dynamics can be achieved by external manipulation of stimuli-responsive molecules. With this aim in mind, the project will establish an efficient theoretical and computational framework to guide the synthetic efforts towards the creation of low power consumption and highly tunable nanodevices for information technologies using a chemical approach.

Background

The recent emergence of 2D van der Waals magnetic materials provides unprecedented building blocks to transmit, store, and process information using spin waves, whose quanta are called magnons, at the limit of miniaturization. We will exploit the potential of switchable organic and spin crossover molecules to act as emitters, modulators, and detectors of magnons at interfaces formed by this class of molecules and 2D antiferromagnets. This will open a versatile route based on smart molecules to face some of the current challenges in magnonics.

Objectives

In concrete, we will provide:

1. A more profound understanding of the hybridization of molecular orbitals on magnetic surfaces, as well as the effect of these hybridized states on the spin dynamics of 2D magnets.
2. A software package to model magnon dynamics in hybrid materials.
3. A deep analysis of strain-magnon coupling effects due to the thermal or light-induced spin switching in spin crossover systems deposited on 2D materials.
4. An efficient quantum transport code accounting for spin-orbit torque effects to understand the enhancement of properties in the 2D material when interfaced with a topological insulator.
5. The creation of novel devices as a proof of concept.

Vision

We envision the birth of a new interdisciplinary field, namely molecular 2D magnonics, with impact in molecular nanoscience, solid-state physics, and materials science leading to promising long-term applications in information technologies.