Results 81 to 90 of about 44,340 (259)

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Photoelectric synapses based on all-two-dimensional ferroelectric semiconductor heterojunction

Materials Research Express
Photoelectric synapses are attracting intensive attention due to its low power consumption and adaptive learning. However, traditional ferroelectric field effect transistors are not conducive to the integrated application in artificial intelligence ...
Xuanyan Zhao
doaj   +1 more source

Transferable and Flexible Artificial Memristive Synapse Based on WOx Schottky Junction on Arbitrary Substrates

Advanced Electronic Materials, 2018
The absence of an effective approach to achieve free‐standing inorganic memristors seriously hinders the development of transferable artificial synapses.
Ya Lin, Tao Zeng, Haiyang Xu, Zhongqiang Wang, Xiaoning Zhao, Weizhen Liu, Jiangang Ma, Yichun Liu   +7 more
doaj   +1 more source

Monolithic 3D‐Integrated All‐Solid Ion‐Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi‐Timescale Reservoir Computing

Advanced Materials, EarlyView.
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung, Hanbin Cho, Yongwoo Lee, Seunghun Baek, Hyeongjun Kim, Yun Goo Ro, Hyunhyub Ko, Joonki Suh, Yong‐Young Noh, Jimin Kwon   +9 more
wiley   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Charge‐Encoded Sidechains Enable Deterministic Ion Ingress and Memory Retention in Organic Electrochemical Synaptic Transistors

Advanced Materials, EarlyView.
Organic electrochemical synaptic transistors based on sidechain‐engineered conjugated polyelectrolytes reveal that cationic sidechains enable efficient volumetric ion penetration and dense backbone doping, leading to enhanced transconductance and long‐term synaptic retention.
Haim Kwon, Jihyeon You, Chaeyeon Park, Dong Gue Roe, Ji Hyun Jung, Jeong Ho Cho, Han Young Woo   +6 more
wiley   +1 more source

An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing

Advanced Intelligent Systems
Advanced devices and systems with integrated sensing, memory, and processing functionalities similar to those of the human nervous system are highly desirable for efficient artificial intelligence applications.
Qiaoling Tian, Xinyu Sui, Xiaoning Zhao, Ya Lin, Zhongqiang Wang, Ye Tao, Haiyang Xu, Yichun Liu   +7 more
doaj   +1 more source

Artificial neural network with dynamic synapse model [PDF]

Известия высших учебных заведений: Прикладная нелинейная динамика
The purpose of this study is to develop and investigate a new short-term memory model based on an artificial neural network without short-term memory effect and a dynamic short-term memory model with astrocytic modulation. Methods. The artificial neural
Zimin, Ilya Anatolevich, Kazantsev, Viktor Borisovich, Stasenko, Sergey Victorovich   +2 more
doaj   +1 more source

Intrinsically Stretchable Piezoelectric Nanocomposites for Artificial Ultrasonic Sensory Synapse

Advanced Materials, EarlyView.
Applying ultrasonic stimulations to a soft‐stretchable underwater piezoelectric sensor based on the soft‐stretchable nanocomposite from the thermal cross‐linking between the ─C─F group of P(VDF‐TrFE) and the ─NH2 group of (PEG‐diamine) with incorporating amine‐terminated BTO@APTES nanofillers on the soft PDMS substrates generated high piezoelectric ...
Trung Dieu Do, Tran Quang Trung, Priyanuj Bhuyan, Minh Chien Nguyen, Que Thi Nguyen, Namjun Jo, Yeonsu Kim, Thanh Duy Cam Ha, Myung‐Gil Kim, Sungjune Park, Woo Jong Yu, Nae‐Eung Lee   +11 more
wiley   +1 more source

Metal Oxide Nano‐Interface Boosting the Deep Ultraviolet Adjustable Noise‐Filtering In‐Sensor Computing

Advanced Materials, EarlyView.
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju, Peng Li, Jingsong Yuan, Boyuan Yu, Bin Han, Yusheng Chen, Jiangang Ma, Haiyang Xu, Yichun Liu, Paolo Samorì   +9 more
wiley   +1 more source