Spike Optimization to Improve Properties of Ferroelectric Tunnel Junction Synaptic Devices for Neuromorphic Computing System Applications

• Published in: Nanomaterials (Basel, Switzerland) Vol. 13; no. 19; p. 2704
• Main Authors: Byun, Jisu, Kho, Wonwoo, Hwang, Hyunjoo, Kang, Yoomi, Kang, Minjeong, Noh, Taewan, Kim, Hoseong, Lee, Jimin, Kim, Hyo-Bae, Ahn, Ji-Hoon, Ahn, Seung-Eon
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2023; MDPI
• Subjects: Analysis; Artificial intelligence; Brain; Concurrent processing; Data processing; Energy efficiency; Ferroelectric devices; Ferroelectric materials; Ferroelectricity; Ferroelectrics; Firing pattern; FTJ; Hafnium; Information processing; Magnetic tunnel junctions; Mathematical optimization; Methods; Neural networks; Neuromorphic computing; Optimization; Pattern recognition; Properties; SNN; STDP; Synapses; synaptic devices; Synaptic plasticity; Tunnel junctions; Unstructured data; South Korea

The continuous advancement of Artificial Intelligence (AI) technology depends on the efficient processing of unstructured data, encompassing text, speech, and video. Traditional serial computing systems based on the von Neumann architecture, employed in information and communication technology devel...