Results 121 to 130 of about 4,995,169 (271)

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

Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies. [PDF]

Adv Sci (Weinh)
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Lee H, Park J, Wang X, Deng Y, Ren J, Zhou T.   +5 more
europepmc   +2 more sources

Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix

Advanced Materials, EarlyView.
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández, Iason Konstantinos‐Douveas, Claas Abert, Elina Zhakina, Sandra Ruiz‐Gómez, Claudia Fernández‐González, Luke Alexander Turnbull, Sebastian Wintz, Markus König, Simone Finizio, Markus Weigand, Naëmi Leo, Dieter Suess, Aurelio Hierro‐Rodríguez, Amalio Fernández‐Pacheco, Claire Donnelly   +15 more
wiley   +1 more source

Degradable organic neuromorphic transistors: Emerging progress in optoelectronically co‐reconfigurable devices for sustainable electronics

FlexMat
Degradable organic neuromorphic transistors, emerging as a promising platform for sustainable electronics, address the evolving demands of future artificial intelligence technologies.
Mingyi Ding, Deyang Ji, Wenping Hu
doaj   +1 more source

Characterization of a Spiking Convolutional Processor for FPGA

Sensors
In event-based neuromorphic processing, computer vision finds an efficient alternative capable of optimizing computational and energy resources, inspired by the dynamics of biological neural systems. In the development of real-time processing systems, it
Dagnier A. Curra-Sosa, Francisco Gomez-Rodriguez, Alejandro Linares-Barranco   +2 more
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Two‐Dimensional Materials for Flexible Neuromorphic Devices: Materials, Engineering Strategies, Architectures, and Emerging Applications

Advanced Electronic Materials
Two‐dimensional (2D) materials offer a distinctive foundation for flexible neuromorphic electronics by combining atomically thin structures, mechanical compliance, and tunable electronic, ionic, and interfacial properties.
Junzhe Tang, Letian Dai
doaj   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control. [PDF]

Adv Sci (Weinh)
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhu Z, Schaffer N, Yang X.
europepmc   +2 more sources

Neuromorphic cognitive systems: a learning and memory centered approach

, 2017
This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks.
Huajin Tang, Hu, Jun, Jun Hu, Kay Tan Chen, Tan Chen, Kay, Yu, Qiang, Tang, Huajin, Qiang Yu   +7 more
core   +1 more source

High‐Mobility Chalcogenophene‐Engineered Diketopyrrolopyrrole Mixed Ionic‐Electronic Conductors With Doping Tolerance for Low‐Power Organic Electrochemical Transistors

Advanced Materials, EarlyView.
Chalcogen substitution emerges as a powerful strategy for designing high‐performance OMIECs. In aliphatic–glycol side chain diketopyrrolopyrrole polymers, biselenophene incorporation promotes a planar, polarizable, and doping‐tolerant quinoidal framework, enabling PDPP‐4EG‐Se2 to combine high hole mobility, large µC*, enhanced operational stability ...
Shinbee Oh, Tae Hoon Kim, Dahyun Jeong, Ji Hwan Kim, Seungjin Lee, Tan Ngoc‐Lan Phan, Alexander Tipan‐Quishpe, Myung‐Han Yoon, Keehoon Kang, Bumjoon J. Kim   +9 more
wiley   +1 more source