TY - JOUR
T1 - TiN/TiOx/WOx/Pt heterojunction memristor for sensory and neuromorphic computing
AU - Ju, Dongyeol
AU - Lee, Jungwoo
AU - So, Hyojin
AU - Kim, Sungjun
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/11/5
Y1 - 2024/11/5
N2 - The advancement of artificial intelligence (AI) has spurred increasing demands for efficiency, as AI technologies require rapid processing and large-scale data handling to perform complex tasks and enable real-time decision-making. By incorporating biological nociceptor functions, memristors have become instrumental in E-Skin applications, aiding robotics in assessing potential danger. Moreover, in pursuit of energy-efficient data processing, researchers have turned their attention to neuromorphic computing, mimicking the operations of the human brain. In this context, the multifunctional capabilities of individual memristors are pivotal for their utility across diverse conditions. To enhance efficiency, this study investigated the observation of both synaptic and nociceptive behaviors within a heterojunction memristor comprising a TiN/TiOx/WOx/Pt stack. By employing a controlled pulse scheme, advanced sensing capabilities were discovered within our memristor, mimicking key functions of nociceptors such as threshold detection, lack of adaptation, relaxation, and sensitization. Additionally, the processes of potentiation and depression were leveraged to demonstrate the linear adjustment of synaptic weights based on applied pulse schemes, exhibiting various synapse-like behaviors, and enabling advanced computing functions. Consequently, both sensing and computing functionalities of the memristor were achieved using a singular TiN/TiOx/WOx/Pt memristor.
AB - The advancement of artificial intelligence (AI) has spurred increasing demands for efficiency, as AI technologies require rapid processing and large-scale data handling to perform complex tasks and enable real-time decision-making. By incorporating biological nociceptor functions, memristors have become instrumental in E-Skin applications, aiding robotics in assessing potential danger. Moreover, in pursuit of energy-efficient data processing, researchers have turned their attention to neuromorphic computing, mimicking the operations of the human brain. In this context, the multifunctional capabilities of individual memristors are pivotal for their utility across diverse conditions. To enhance efficiency, this study investigated the observation of both synaptic and nociceptive behaviors within a heterojunction memristor comprising a TiN/TiOx/WOx/Pt stack. By employing a controlled pulse scheme, advanced sensing capabilities were discovered within our memristor, mimicking key functions of nociceptors such as threshold detection, lack of adaptation, relaxation, and sensitization. Additionally, the processes of potentiation and depression were leveraged to demonstrate the linear adjustment of synaptic weights based on applied pulse schemes, exhibiting various synapse-like behaviors, and enabling advanced computing functions. Consequently, both sensing and computing functionalities of the memristor were achieved using a singular TiN/TiOx/WOx/Pt memristor.
KW - Heterojunction
KW - Nociceptor
KW - Spike firing
KW - Synapse array
KW - Volatile memristor
UR - http://www.scopus.com/inward/record.url?scp=85200482642&partnerID=8YFLogxK
U2 - 10.1016/j.jallcom.2024.175830
DO - 10.1016/j.jallcom.2024.175830
M3 - Article
AN - SCOPUS:85200482642
SN - 0925-8388
VL - 1004
JO - Journal of Alloys and Compounds
JF - Journal of Alloys and Compounds
M1 - 175830
ER -