Memcapacitor Crossbar Array with Charge Trap NAND Flash Structure for Neuromorphic Computing.

ABSTRACT: The progress of artificial intelligence and the development of large-scale neural networks have significantly increased computational costs and energy consumption. To address these challenges, researchers are exploring low-power neural network implementation approaches and neuromorphic computing systems are being highlighted as potential candidates. Specifically, the development of high-density and reliable synaptic devices, which are the key elements of neuromorphic systems, is of particular interest. In this study, an 8 × 16 memcapacitor crossbar array that combines the technological maturity of flash cells with the advantages of NAND flash array structure is presented. The analog properties of the array with high reliability are experimentally demonstrated, and vector-matrix multiplicat

SUBMITTER: Hwang S 

PROVIDER: S-EPMC10646263 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature