Nanowerk March 8, 2022
Researchers in China reviewed the latest developments in the design of memristors for artificial synapses, the main component of a neuromorphic computing architecture, used in neuromorphic computing. Memristors are a relatively ideal candidate for artificial synapse applications due to their high scalability and low power consumption. However, oxide memristors suffer from unsatisfactory stability and reliability. Oxide-based hybrid structures can effectively improve the device stability and reliability, therefore providing a promising prospect for the application of oxide memristors to neuromorphic computing. The discussion is organized according to the blending schemes as well as the working mechanisms of hybrid oxide memristors. They are currently developing optoelectronic neuromorphic computers based on optically controlled oxide memristors. Compared to electronic memristors, photonic ones are expected to have higher operation speeds and lower energy consumption…read more. Open Access TECHNICAL ARTICLEÂ
Schematic illustration of the resistive switching mechanism of HfOx/TaOy memristive synapses… Credit: Science and Technology of Advanced Materials, Volume 22, 2021 – Issue 1Â