CMOS back-end compatible memristors for in situ digital and neuromorphic computing applications

• Published in: Materials horizons Vol. 8; no. 12; pp. 3345 - 3355
• Main Authors: He, Zhen-Yu, Wang, Tian-Yu, Meng, Jia-Lin, Zhu, Hao, Ji, Li, Sun, Qing-Qing, Chen, Lin, Zhang, David Wei
• Format: Journal Article
• Language: English
• Published: England Royal Society of Chemistry 29.11.2021
• Subjects: CMOS; Compatibility; Computer architecture; Computer memory; Data processing; Data transmission; Electric Conductivity; Electric field strength; Logic; Mathematical analysis; Memristors; Neuromorphic computing; Neurons - physiology; Oxides; Plastic properties; Power consumption; Semiconductors; Silver; Storage units; Synapses

In-memory logic calculations and brain-inspired artificial synaptic neuromorphic computing are expected to solve the limitations of the traditional von Neumann computing architecture. The data processing efficiency of the traditional von Neumann architecture is inherently limited by its physically s...