/Modeling of magnetoelectric effect for advanced spintronic applications

Modeling of magnetoelectric effect for advanced spintronic applications

Leuven | More than two weeks ago

Evaluate the magnetoelectric coupling to magnetic textures for low-power spintronic devices

Spintronics is a novel field of electronics that uses the spin of electrons or the magnetization of thin films instead of charge in memory or logic computation devices. A key issue of spintronics is the energy-efficient control of the magnetization in such devices. Current device concepts are often based on the control of the magnetization by currents, for example via generated magnetic fields or recently discovered effects, such as spin-transfer torque or spin-orbit torque. However, such techniques are typically not very energy-efficient and it would be very desirable to control the magnetization by electric fields instead. In principle, this can be done by the magnetoelectric effect, which couples electric fields to the magnetization. This effect is currently strongly considered to be included in future generations of low-power spintronic devices.

 

Magnetoelectric effects naturally occur in multiferroic materials but much stronger strain-induced magnetoelectric coupling can be observed in composite materials consisting of piezoelectric and magnetostrictive materials. The application in spintronic devices requires a detailed understanding of the geometry (e.g. the relative directions of the electric field and the magnetization) as well as thermal fluctuations on the magnetization dynamics. In this thesis, the student will perform micromagnetic simulations to study the magnetoelectric coupling in different geometries and different material systems. The goal of the thesis is to develop efficient strategies to excite, control, and detect magnetization dynamics (including magnetization switching, interaction with magnetic domain walls and spin waves) by the magnetoelectric effect and transfer them to a magnetic waveguide. The work will be in close collaboration with experimentalists working on integration of magnetoelectrics into spintronic devices for exploratory logic.


Type of project: Thesis, Internship, Combination of internship and thesis

Duration: > 6 Months

Required degree: Master of Science

Required background: Physics, Nanoscience & Nanotechnology

Supervising scientist(s): For further information or for application, please contact: Christoph Adelmann (Christoph.Adelmann@imec.be) and Florin Ciubotaru (Florin.Ciubotaru@imec.be)

Who we are
Accept marketing-cookies to view this content.
Cookie settings
imec's cleanroom
Accept marketing-cookies to view this content.
Cookie settings

Related jobs

DFT-NEGF transport in next-generation devices made of 2D materials including defective and in-situ-doped semiconductor-metal contacts

Use and develop state-of-the-art atomistic quantum-physics models to explore and unleash the potential and physics of next generation 2D material devices

Engineering two-dimensional materials and their surroundings for improved electrical performance

Understanding the fundamental electronic transport properties of two-dimensional materials in engineered superlattices

Calibration of TCAD process simulators towards N2 with advanced 2D/3D metrology solutions including SPM-based SSRM technique

The aggressive downscaling of FET devices (FinFET, NanowireFET, NanosheetFET, ForksheetFET, CFET...) in past years has put a great emphasis on the need to come up with properly calibrated process and device simulation tools (TCAD) to predict performances, suggest processing optio

Novel materials for 2D contacts

Exploring materials and strategies for metal contacts of advanced 2D devices

Multi-scale ferroelectric / multiferroic material modeling for next-gen memory/ logic devices: insights on interfaces, morphology and switching dynamics

Simulate nanoscale electronic devices with atomic resolution by using Machine Learning potentials

Monte Carlo modelling of electron transport in low-dimensional materials

Explore the fundamental electronic transport properties of 2D materials and ultra-thin body in realistic configurations, including non-idealities, using first-principles Monte Carlo methods.
Job opportunities

Send this job to your email