Date of Award
Master of Science (MS)
Memory design plays an important role in modern computer technology in regard
to overall performance and reliability. Prior memory technologies, including magneticcore
memory, hard disk drives, DRAM, SRAM have limitations in regard to bit density,
IC integration, power efficiency, and physical size, respectively. To address these
limitations we propose to develop a magnetic graphene random access memory (MGRAM)
utilizing graphene Hall effect, which takes advantage of the inherent reliability of magnetic
memory and superior electrical properties of graphene (high carrier mobility, zero-band
gap, high Hall sensitivity). As the graphene magnetic memory device will be integrated
with a CMOS ASIC design an analog circuit model for the MGRAM cell is necessary and
important. In this study the electrical circuit model is developed utilizing the analog circuit
modeling language Verilog-A.
The electrical circuit model characterizes the graphene electrical properties and
the ferromagnetic core magnetic properties that retains the bit-state value. MGRAM device
simulations studying varying coil width, height, radius, contact pad configuration,
graphene shape, is performed with the MagOasis Magsimus tool to evaluate the device
performance. Model results show a maximum Hall effect voltage of 100mV for a bias
current of 50uA with a 1 Tesla magnetic field, and a writing speed of 6-9ns for setting the
magnetic state. These results will be validated against the circuit hardware measurement
and will be used for model refinement.
Number of Pages
Abrami, Greg, "Magnetic Graphene Memory Circuit Characterization And Verilog-A Modeling" (2017). Graduate College Dissertations and Theses. 801.