J
Jia-xin Shao
Publications - 12
Citations - 224
Jia-xin Shao is an academic researcher. The author has contributed to research in topics: Computer science & Neuromorphic engineering. The author has an hindex of 9, co-authored 12 publications receiving 224 citations. Previous affiliations of Jia-xin Shao include Dongguk University.
Papers
More filters
Journal ArticleDOI
Demonstration of synaptic and resistive switching characteristics in W/TiO2/HfO2/TaN memristor crossbar array for bioinspired neuromorphic computing
TL;DR: In this paper, a resistive random access memory (RRAM)-based crossbar arrays with a memristor W/TiO2/HfO 2/TaN structure were fabricated through atomic layer deposition (ALD) to investigate synaptic plasticity and resistive switching (RS) characteristics for bio-inspired neuromorphic computing.
Journal ArticleDOI
Forming-free Pt/Al2O3/HfO2/HfAlOx/TiN memristor with controllable multilevel resistive switching and neuromorphic characteristics for artificial synapse
TL;DR: In this paper, a multilayer resistive switching (RS) and neuromorphic characteristics emerges as a promising paradigm to build power-efficient computing hardware for high density data storage memory and artificial intelligence.
Journal ArticleDOI
Demonstration of synaptic and resistive switching characteristics in W/TiO2/HfO2/TaN memristor crossbar array for bioinspired neuromorphic computing
TL;DR: In this article , a resistive random access memory (RRAM)-based crossbar arrays with a memristor W/TiO2/HfO 2/TaN structure were fabricated through atomic layer deposition (ALD) to investigate synaptic plasticity and resistive switching (RS) characteristics for bio-inspired neuromorphic computing.
Journal ArticleDOI
Forming-free Pt/Al2O3/HfO2/HfAlOx/TiN memristor with controllable multilevel resistive switching and neuromorphic characteristics for artificial synapse
TL;DR: In this article , a multilayer resistive switching (RS) and neuromorphic characteristics emerges as a promising paradigm to build power-efficient computing hardware for high density data storage memory and artificial intelligence.
Journal ArticleDOI
Prospects and applications of volatile memristors
TL;DR: In this article , the authors present the physical interpretation and latest research trends of the switching mechanisms of volatile memristors and discuss the future directions of volatile memory devices and their applications, focusing on selectors for array structures, synaptic devices for neuromorphic engineering, imitation of nociceptors, and reservoir computing.