Advanced Spintronic Sensors and Simulations for Biomedical Applications

 

Details

Presenter: Dieter Süss
Title: Advanced Spintronic Sensors and Simulations for Biomedical Applications
Affiliation: Physics of Functional Materials, Faculty of Physics, University of Vienna
Date: 13.04.2022
Time: 16:00 h
Place: Online via zoom

 

Contents of the Talk

Within this talk I will cover high performance spintronic sensors and advanced simulations tools for magnetic particle imaging. In the first part of the talk we will review our activity within an ongoing cooperation with Infineon. We will review the current state of TMR-vortex sensor, that allow for a sensor device with very low magnetic hysteresis. As a second advanced sensor device we will present sensors based on spin orbit torque effect that can be used to create a sensitive sensor with low offset. The device consists of a thin heavy metal layer (HM) with a ferromagnetic layer (FM) on top. The measurements in Fig. 1 show that one can achieve a low offset in the 50 μT range and tune the sensitivity reproducibly by 200-300% which is encouraging for further development of this sensing principle.

In the last part of the talk we will present self-consistent simulations of magnetic nanoparticles for hyperthermia applications and magnetic particle imaging. Here, we solve the magnetization dynamics according to the Landau-Lifshitz-Gilbert equation self-consistent with the mechanical equation of motion, that described the particle rotation.

Transfer curve of a spin orbit torque based magnetic field sensor.

 

Dieter Süss

Dieter Süss is a full professor at the Faculty of Physics at Vienna University. His research interests include magnetization dynamics, thermal activation in magnetic materials with special focus on applications in data storage and sensors, spintronics, inverse problems and 3D printing of magnets. He has obtained numerous research grants and industrial fundings, the most recent ones including the projects "Realization of magnetic field sensors using spin-dependent currents for highest accuracy" (Infineon AG, FFG) and "SAM: Self-consistent simulation approach to magnetic soft matter" (FWF, Joint project S. Kantorovich (PI), and D. Suess, D (Co-PI)).