Simulation and Modeling of MRAM for On-Chip Learning
Electrical Engineering
Team 12
Selin Bakkaloglu, Jonathan Rossman, Caidyn Spickler, Elliot Word
Summary
Synthesizing multiple forms of Magnetic Random Access Memory (MRAM) devices using Object Oriented Micromagnetic Framework (OOMMF) and HSPICE to create an optimal form of memory for on-chip AI computations. Our project models, simulates, and analyzes STT, SOT, and SAS MRAM devices to evaluate switching behavior, energy efficiency, and stability.