Results 181 to 190 of about 1,900,337 (342)

Linear and Symmetric Artificial Synapses Driven by Hydrogen Bonding for Accurate and Reliable Neuromorphic Computing. [PDF]

Adv Mater
Lee MJ, Lee SH, Lee DG, Kim TH, Cho Y, Lee GM, Yoon SS, Kim SJ, Ahn H, Lee TK, Shim JW.   +10 more
europepmc   +1 more source

Bio-inspired flexible artificial synapses for pain perception and nerve injuries [PDF]

, 2020
Qifeng Lu, Fuqin Sun, Lin Liu, Lianhui Li, Mingming Hao, Zihao Wang, Ting Zhang   +6 more
openalex   +1 more source

Recent Progress and Opportunities in Oxide Semiconductor Devices for In‐Memory and Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong, Taejun Ha, Sangwook Jung, Wontae Jeong, Yoonyoung Chung   +4 more
wiley   +1 more source

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor. [PDF]

Adv Sci (Weinh)
Ding Y, Kuai Y, Li R, Xu X, Wang B, Wang Z, Liu Y, Dong Y, Chen S, Guo M, Liu Y, Zhao Y.   +11 more
europepmc   +1 more source

Reconfigurable, Non‐Volatile Switching in WO3 Film for Resistive Memory and Multistate Programming Toward Energy‐Efficient Neuromorphic Computing Applications

Advanced Electronic Materials, EarlyView.
WO3${\rm WO}_3$ based resistive switching device was precisely controlled and shows the reconfigurable, non‐volatile switching which can be programmable to multi‐resistance states for memory applications. The memory device can also be utilised for low energy neuromorphic application.
Keval Hadiyal, Nagarajan Raghavan, Ramesh Mohan Thamankar   +2 more
wiley   +1 more source

UV-Enhanced Artificial Synapses Based on WSe₂-SrAl₂O₄ Composites. [PDF]

Nanomaterials (Basel)
Sun Q, Long X, Chen C, Zhang N, Chen P.
europepmc   +1 more source

Exfoliated‐MoS2 Gradual Resistive Switching Devices as Artificial Synapses

Advanced Electronic Materials, EarlyView.
A vertical memristor based on untreated, exfoliated MoS2 is presented, revealing gradual resistive switching governed by Schottky barrier modulation at the MoS2/metal interface from the trapping/detrapping of charges. Furthermore, the device emulates synaptic‐like plasticity functions, including: potentiation, depression, and spike‐amplitude‐dependent ...
Deianira Fejzaj, Richard Schroedter, Thomas Mikolajick, André Heinzig   +3 more
wiley   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Hybrid functional 3D artificial synapses for convolution and reinforcement learning

Jiseong Im, Jangsaeng Kim, Jangsaeng Kim, Jonghyun Ko, Wonjun Shin, Ryun‐Han Koo, Jeonghyun Kim, Jeonghyun Kim, Jong‐Ho Lee   +8 more
openalex   +1 more source

An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing [PDF]

, 2018
Tianyu Wang, Zhenyu He, Lin Chen, Hao Zhu, Qingqing Sun, Shi‐Jin Ding, Peng Zhou, David Wei Zhang   +7 more
openalex   +1 more source