TY - JOUR
T1 - Versatile NbOx-Based Volatile Memristor for Artificial Intelligent Applications
AU - Ju, Dongyeol
AU - Kim, Sungjun
N1 - Publisher Copyright:
© 2024 Wiley-VCH GmbH.
PY - 2024/12/2
Y1 - 2024/12/2
N2 - To achieve cost-effectiveness, researchers are exploring various memristors for their adaptation in neuromorphic computing. Recent studies have focused on developing versatile functioning singular memristors, such as those involved in on-receptor computing, which integrates sensory functions into current neuromorphic computing paradigms. Additionally, adaptations like reservoir computing are being investigated for computing systems. In this study, a memristor composed of a stack of Ti/NbOx/Pt layers is fabricated to explore multifunctional behaviors within a single memristor. By applying bias toward the top Ti electrode, gradual current changes with volatile features are demonstrated, revealing an ion-migration-based nonfilamentary switching memristor. Leveraging this volatile functionality, an artificial nociceptor is first implemented, demonstrating key functions of biological nociceptors including thresholding, relaxation, no-adaptation, and sensitization. Subsequently, synapse emulation akin to the biological brain is achieved through easy conductance potentiation and depression with diverse synapse functions, enabling the memristor to mimic learning activities with spike firing. Lastly, computational applications are explored by adapting edge computing and multi-bit reservoir computing, expanding the memristor's applications across diverse fields with versatile behaviors.
AB - To achieve cost-effectiveness, researchers are exploring various memristors for their adaptation in neuromorphic computing. Recent studies have focused on developing versatile functioning singular memristors, such as those involved in on-receptor computing, which integrates sensory functions into current neuromorphic computing paradigms. Additionally, adaptations like reservoir computing are being investigated for computing systems. In this study, a memristor composed of a stack of Ti/NbOx/Pt layers is fabricated to explore multifunctional behaviors within a single memristor. By applying bias toward the top Ti electrode, gradual current changes with volatile features are demonstrated, revealing an ion-migration-based nonfilamentary switching memristor. Leveraging this volatile functionality, an artificial nociceptor is first implemented, demonstrating key functions of biological nociceptors including thresholding, relaxation, no-adaptation, and sensitization. Subsequently, synapse emulation akin to the biological brain is achieved through easy conductance potentiation and depression with diverse synapse functions, enabling the memristor to mimic learning activities with spike firing. Lastly, computational applications are explored by adapting edge computing and multi-bit reservoir computing, expanding the memristor's applications across diverse fields with versatile behaviors.
KW - artificial synapse
KW - associative conditioning
KW - neuromorphic computing
KW - niobium oxide
KW - volatile memristor
UR - http://www.scopus.com/inward/record.url?scp=85202873774&partnerID=8YFLogxK
U2 - 10.1002/adfm.202409436
DO - 10.1002/adfm.202409436
M3 - Article
AN - SCOPUS:85202873774
SN - 1616-301X
VL - 34
JO - Advanced Functional Materials
JF - Advanced Functional Materials
IS - 49
M1 - 2409436
ER -