Spin‐ and Stress‐Depending Electrical Transport in Nanoparticle Supercrystals: Sensing Elastic Properties of Organic Tunnel Barriers via Tunneling Magnetoresistance

Abstract

The spin-dependent electrical transport in rigid inorganic-inorganic layered systems is extensively applied for the detection of magnetic fields in data storage. In this work, spin-dependent electrical transport in flexible organicinorganic supercrystals based on superparamagnetic iron oxide nanoparticles is investigated. These nanoparticles are stabilized by oleic acid ligands, which in turn are serving as tunneling barriers between individual magnetic nanoparticles. The resulting tunneling magnetoresistance (TMR) is tunable due to the elastic properties of these organic barriers. Applying external mechanical stress on this composite material will change the average distance between adjacent nanoparticles and will hence determine the resulting TMR-effect amplitude. Thus, measured stress-induced changes in the barrier thickness at sub-nanometer scale allow for determining the mechanical properties of organic barrier molecules in the confined space between the particles. These results provide the foundation for a new type of mechanical sensor.

Nanomaterial-based flexible sensors for metaverse and virtual reality applications

“…Mechanical loading enables the tracing of the variable electrical transport properties. Specifically, in rotating electron transport, nanocomposites are connected by thousands of single tunnels, and these serial interconnections can be determined by mechanical loading (figure 2(g)) [119]. Based on the tunneling effect and distribution of NPs, the sensor performance can be evaluated to guide future sensor design [120].…”