Low-Power Microwave Relaxation Oscillators Based on Phase-Change Oxides for Neuromorphic Computing

B. Zhao
B. Zhao

Physical review applied, pp. 0140202019.

Other Links: academic.microsoft.com

Abstract:

Neuromorphic computing is an efficient solution for large-scale associative learning problems such as pattern recognition, but its hardware implementation is stymied by the need for low-power, scalable faux neurons, typically built using relaxation oscillators. This work proposes relaxation oscillators using VO${}_{2}$-based heterostructu...More

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