Comsol physics
For instance, by combining the AC/DC Module (electric currents and electromagnetic fields) and RF Module (microwaves), we can model the dipolar interaction in a magnet.
#COMSOL PHYSICS HOW TO#
In this blog post, we will demonstrate how to use the Micromagnetics Module to perform numerical micromagnetic simulations of spin wave dynamics in COMSOL Multiphysics. This makes magnonics a promising candidate for the next generation of information technology. 3), such as magnetic domain walls, vortexes, and skyrmions - thereby offering a new route for operating magnetic memories. Furthermore, spin waves can interact with magnetic textures ( Ref. 2), are ideal materials for spin wave manipulation. Magnetic insulators such as YIG (Y 3Fe 5O 12), because of its extremely small damping and absence of Joule heating ( Ref. Spin waves can carry energy, linear and angular momentum, as well as information. It is similar to its counterparts, phononics and photonics, but focuses on energy and information transport carried by spin waves (or magnons in the quantum limit), which are elementary excitations of magnetic systems. Magnonics is a subfield of spintronics or magnetism ( Ref. Introduction to Magnonics and Micromagnetics The module package, along with a user’s guide, is available for download. This Micromagnetics Module can be coupled straightforwardly to other add-on modules to perform multiphysics micromagnetic simulations, such as magneto-dipolar coupling, magneto-elastic coupling, magnet-thermal coupling, and more. We built a customized “Micromagnetics Module” using the Physics Builder in the COMSOL Multiphysics® software, which can be used to perform micromagnetic simulations within the framework of the COMSOL® software.
#COMSOL PHYSICS SOFTWARE#
Proven ability to adapt, learn and create software tools in different languages (MATLAB/COMSOL, Python, C/C++, CUDA/OpenCL/S圜L, SPICE/Verilog-AMS, Golang, etc.The dynamics of magnetization in magnets are described by micromagnetic theory, governed by the Landu–Lifshitz–Gilbert equations.Familiarity with simulation methodologies, approaches and tools in the listed research areas.Possessing knowledge and experience in the research topics in the Beyond CMOS umbrella (new computing approaches and models using non-volatile and volatile electronic devices, memory-centric microarchitectures, devices-to-algorithms co-design, etc.).PhD in Engineering (Electrical, Electronics, Computer, Materials Science) or Applied Sciences (Computer, Physics, Mathematics).Mentor students (PhD, MSc, undergraduates) and lend their experience to nurture junior researchers as co-authors.Collaborate with experimentalists and exchange knowledge with our international collaborators.Conduct high-quality independent research that cuts across the levels of design abstraction in a vertical fashion using a devices/circuits/microarchitecture/architecture/algorithms co-design approach.Unconventional computing paradigms (Ising model, analog & mixed-signal computing, neuromorphic computing, stochastic computing, etc.).Circuit applications for these devices (non-volatile circuit primitives, true random number generators, physically unclonable functions, etc.).Emerging device technologies (mem-ristive, spintronics, ferroelectrics, 2D materials, etc.).The topics involved in our research projects cover: We are looking for passionate candidates who are prepared to conduct collaborative independent research in the area of Beyond CMOS computing.