Micromagnetic Simulation for Spintronic Data Storage
Overview
Conducted extensive computational physics research at the National Research and Innovation Agency (BRIN), serving as my undergraduate thesis, professional work experience, and the foundation for an upcoming scientific manuscript. The study focused on evaluating the effects of nanowire dimensions and Dzyaloshinskii-Moriya Interaction (DMI) configurations on domain wall dynamics for advanced spintronic-based data storage.
I executed 468 micromagnetic simulations using the OOMMF framework and performed comprehensive quantitative analysis on position, velocity, and energy components to identify critical performance trends. By converting raw simulation outputs into structured analytical reports and data visualizations, I provided valuable insights that supported research decision-making and directly contributed to the drafting of a formal scientific publication.
Methodology & Frameworks
Simulation Framework
Utilized OOMMF (Object Oriented MicroMagnetic Framework) to solve the Landau-Lifshitz-Gilbert (LLG) equation computationally.
Data Analytics
Processed and visualized massive datasets comprising domain wall velocities and magnetic energy states using Origin.
Key Impact
The quantitative analysis of DMI and nanowire geometric variables directly informs the architectural design of future highly-efficient spintronic memory devices (Racetrack Memory).