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Title: Non-von Neumann Computing Based on Ferroelectrics and Antiferroelectrics
Committee:
Dr. Khan, Advisor
Dr. Yu, Chair
Dr. Raychowdhury
Abstract:
The object of the proposed research is to utilize novel materials — ferroelectric and antiferroelectric for developing non-von Neumann computing models. In particular, we showed that the ferroelectric can be used to implement coupled oscillator networks that can be used to solve computationally hard problems. In addition, ferroelectric is also suitable for artificial spiking neuron implementation. The ferroelectric spiking neuron integrated both excitatory and inhibitory inputs in a compact circuit topology is well suited for building at-scale, energy-efficient, and area-efficient spiking neural networks.
