Title of Presentation or Performance
A Computational Approach to the Analysis of Magnetoresistance Signatures of Magnetic Nano-Structures: Armchair and Brickwork Artificial Spin Ice
Submission Type
Event
Faculty Advisor
Narendra K. Jaggi
Expected Graduation Date
2019
Location
Center for Natural Sciences, Illinois Wesleyan University
Start Date
4-13-2019 9:00 AM
End Date
4-13-2019 10:00 AM
Disciplines
Education
Abstract
Artificial lattices of magnetic nanowires display unusual magnetotransport properties. In this study, we chose two particular artificial structures and studied their magnetoresistance response under different applied external magnetic field and at different angles. These structures demonstrate abrupt transitions and hysteresis of magnetization, which gives interesting magnetoresistance response. The underlying Hamiltonian of these systems is far too complex for any closed form analytic solutions. Therefore, we use computer simulations to calculate the spatially varying magnetization density in these structures, by using an open source GPU accelerated software mumax3. These magnetization maps (from mumax3) are combined with a local model of Anisotropic Magnetic Field-dependent Resistivity (AMR) to calculate the local electric field is calculated at all points. We have demonstrated the experimentally observed non-linear abrupt transitions of magnetization of these materials and the corresponding magnetoresistance. Some aspects of our simulations agree well the data. Work is in progress to figure out the sources of remaining differences between data and our simulations.
A Computational Approach to the Analysis of Magnetoresistance Signatures of Magnetic Nano-Structures: Armchair and Brickwork Artificial Spin Ice
Center for Natural Sciences, Illinois Wesleyan University
Artificial lattices of magnetic nanowires display unusual magnetotransport properties. In this study, we chose two particular artificial structures and studied their magnetoresistance response under different applied external magnetic field and at different angles. These structures demonstrate abrupt transitions and hysteresis of magnetization, which gives interesting magnetoresistance response. The underlying Hamiltonian of these systems is far too complex for any closed form analytic solutions. Therefore, we use computer simulations to calculate the spatially varying magnetization density in these structures, by using an open source GPU accelerated software mumax3. These magnetization maps (from mumax3) are combined with a local model of Anisotropic Magnetic Field-dependent Resistivity (AMR) to calculate the local electric field is calculated at all points. We have demonstrated the experimentally observed non-linear abrupt transitions of magnetization of these materials and the corresponding magnetoresistance. Some aspects of our simulations agree well the data. Work is in progress to figure out the sources of remaining differences between data and our simulations.