Results 131 to 140 of about 1,601,752 (292)

A dual-mode transparent device for 360° quasi-omnidirectional self-driven photodetection and efficient ultralow-power neuromorphic computing

Light: Science & Applications
Due to the extremely high manufacturing standards, the integration of quasi-omnidirectional photodetectors and synaptic devices within a single device remains a long-standing challenge.
Min Jiang, Yukun Zhao, Tong Liu, Yanyan Chang, Yuan Tang, Min Zhou, Yiping Shi, Jianya Zhang, Lifeng Bian, Shulong Lu   +9 more
doaj   +1 more source

Zinc oxide and indium-gallium-zinc-oxide bi-layer synaptic device with highly linear long-term potentiation and depression characteristics. [PDF]

Sci Rep, 2022
Choi HW, Song KW, Kim SH, Nguyen KT, Eadi SB, Kwon HM, Lee HD.   +6 more
europepmc   +1 more source

Blending With Insulating Polymers Enables Stable Anti‐Ambipolar Characteristics in n‐Type Organic Mixed‐Conductors for Heterogeneous Spiking Neurons

Advanced Materials, EarlyView.
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick, Ariel Lifer, Catherine Beaumont, Liad Hayoun, Priscila Cavassin, Zeinab Hamid, Dilara Meli, William Dupont, Lincoln J. Lauhon, Iain McCulloch, Gitti L. Frey, Giovanni Maria Matrone, Jonathan Rivnay   +12 more
wiley   +1 more source

Bipolar and Complementary Resistive Switching Characteristics and Neuromorphic System Simulation in a Pt/ZnO/TiN Synaptic Device. [PDF]

Nanomaterials (Basel), 2021
Khan SA, Lee GH, Mahata C, Ismail M, Kim H, Kim S.   +5 more
europepmc   +1 more source

Ferroionic‐Assisted, Charge‐Driven Polymorphic Phase Engineering for Multilevel Memristive Devices

Advanced Materials, EarlyView.
A CuInP2S6/Mo0.92W0.08Te2 heterostructure enables a gradual semiconductor‐to‐semimetal phase transition through Cu+ ion migration and charge accumulation. The spatially engineered 2H/1T′ mixed phases produce continuously tunable conductance states in a two‐terminal geometry, while suppressing depolarizing fields and stabilizing the metastable 1T′ phase.
Nayeon Kim, Chengqi Wei, Eunji Hwang, Woohyun Cho, Heemyoung Hong, Yongjoon Lee, Daeho Noh, Min Seok Jang, Zhongrui Wang, Heejun Yang   +9 more
wiley   +1 more source

Tailoring Dynamic Synaptic Plasticity in FeTFT Optoelectronic Synapse for Associative Learning

Advanced Electronic Materials
Neuromorphic hardware with dynamic synaptic plasticity presents fascinating applications in advanced artificial intelligence. However, the development of low‐cost, CMOS (Complementary Metal‐Oxide‐Semiconductor)‐compatible, and dynamically tunable ...
Peng Yang, Hui Xu, Xiaopeng Luo, Shihao Yu, Yang Liu, Yefan Zhang, Xu Guo, Bing Song, Zhiwei Li, Sen Liu, Qingjiang Li   +10 more
doaj   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

High-Performance Memristive Synapse Based on Space-Charge-Limited Conduction in LiNbO₃

Nanomaterials
Advancing neuromorphic computing technology requires the development of versatile synaptic devices. In this study, we fabricated a high-performance Al/LiNbO3/Pt memristive synapse and emulated various synaptic functions using its primary key operating ...
Youngmin Lee, Sejoon Lee
doaj   +1 more source

Organoids as Building Blocks for Adaptive and Resilient Biohybrid Robots

Advanced Materials Technologies, EarlyView.
ABSTRACT Biohybrid robots combine engineered living tissues with synthetic materials and have emerged as a promising class of soft robotic systems capable of mimicking biological functions such as biodegradability, energy efficiency and flexible motions. By integrating biological and synthetic components, these systems leverage complementary properties
Antonia Georgopoulou
wiley   +1 more source

Lateral heterostructures of WS2 and MoS2 monolayers for photo-synaptic transistor

Scientific Reports
Von Neumann architecture-based computing, while widely successful in personal computers and embedded systems, faces inherent challenges including the von Neumann bottleneck, particularly amidst the ongoing surge of data-intensive tasks.
Jaeseo Park, Jun Oh Kim, Sang-Woo Kang
doaj   +1 more source