Results 71 to 80 of about 6,811 (257)

Self-revival iontronic neuromorphic devices for robust human-machine interaction

npj Flexible Electronics
Flexible neuromorphic devices exhibit substantial promise for applications in next-generation intelligent human-machine interaction systems. While, the primary hurdle for flexible neuromorphic devices lies in functional impairment arising from mechanical
Yanfei Li, Jiayi Chen, Shilin Tang, Chenxi Zhu, Zhanpeng Hong, Xuefeng Lin, Xiang He, Jianyu Ming, Ning Liu, Linghai Xie, Haifeng Ling   +10 more
doaj   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Emerging Optoelectronic Devices for Brain‐Inspired Computing

Advanced Electronic Materials
Brain‐inspired neuromorphic computing is recognized as a promising technology for implementing human intelligence in hardware. Neuromorphic devices, including artificial synapses and neurons, are regarded as essential components for the construction of ...
Lingxiang Hu, Xia Zhuge, Jingrui Wang, Xianhua Wei, Li Zhang, Yang Chai, Xiaoyong Xue, Zhizhen Ye, Fei Zhuge   +8 more
doaj   +1 more source

Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips

Advanced Devices & Instrumentation
Neuromorphic computing, drawing inspiration from the brain, stands out for its high energy efficiency in executing complex tasks. Memristive device-based neuromorphic computing has demonstrated ultrahigh efficiency. While there are numerous review papers
Yike Xiao, Cheng Gao, Juncheng Jin, Weiling Sun, Bowen Wang, Yukun Bao, Chen Liu, Wei Huang, Hui Zeng, Yefeng Yu   +9 more
doaj   +1 more source

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

Electrolyte Gated Transistors for Brain Inspired Neuromorphic Computing and Perception Applications: A Review

Nanomaterials
Emerging neuromorphic computing offers a promising and energy-efficient approach to developing advanced intelligent systems by mimicking the information processing modes of the human brain.
Weisheng Wang, Liqiang Zhu
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

A light-driven device for neuromorphic computing

Light: Science & Applications
AbstractA unique optoelectronic synaptic device has been developed, leveraging the negative photoconductance property of a single-crystal material system called Cs2CoCl4. This device exhibits a simultaneous volatile resistive switching response and sensitivity to optical stimuli, positioning Cs2CoCl4 as a promising candidate for optically enhanced ...
openaire   +3 more sources

Recent advances in fabrication and functions of neuromorphic system based on organic field effect transistor

International Journal of Extreme Manufacturing
The development of various artificial electronics and machines would explosively increase the amount of information and data, which need to be processed via in-situ remediation. Bioinspired synapse devices can store and process signals in a parallel way,
Yaqian Liu, Minrui Lian, Wei Chen, Huipeng Chen   +3 more
doaj   +1 more source