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.

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Apr 13th, 9:00 AM Apr 13th, 10:00 AM

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.