Results 101 to 110 of about 84,713 (260)

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

Amorphous BN-Based Synaptic Device with High Performance in Neuromorphic Computing. [PDF]

Materials (Basel), 2023
Pyo J, Jang J, Ju D, Lee S, Shim W, Kim S.   +5 more
europepmc   +1 more source

Light‐Intensity Switching of Graphene/WSe₂ Synaptic Devices

Advanced Science
Abstract2D van der Waals heterojunctions (vdWH) have emerged as an attractive platform for the realization of optoelectronic synaptic devices, which are critical for energy‐efficient computing systems. Photogating induced by charge traps at the interfaces indeed results in ultrahigh responsivity and tunable photoconductance.
Hongyu Tang, Tarique Anwar, Min Seok Jang, Giulia Tagliabue   +3 more
openaire   +3 more sources

Excited State Opto‐Ionic Reservoir Computing in Hybrid Perovskite Electrochemically‐Gated Luminescent Cells

Advanced Materials, EarlyView.
A neuromorphic computing system exploiting opto‐ionic modulation in lead halide perovskite microcrystals demonstrates high‐dimensional reservoir dynamics with diffraction‐limited node resolution. Leveraging ultrafast excited‐state interactions, it achieves efficient computation (800 pJ/node‐operation), robustly distinguishing 4‐bit pulse sequences ...
Philipp Kollenz, Carina Herrle, Leonard Göhringer, Nasrin Solhtalab, Tom Wickenhäuser, Wolfram Pernice, Rüdiger Klingeler, Felix Deschler   +7 more
wiley   +1 more source

Photo‐synaptic Memristor Devices from Solution‐processed Ga2O3 Thin Films

Advanced Electronic Materials
Hardware integration with biological synaptic function is the key to realizing brain‐like computing. Resistive Random Access Memory (RRAM), with a similar structure to biological synapses, are important candidate for the simulation of biological synaptic
Wei Wang, Xiangxiang Gao, Zhenhua Lin, Haoyu Bai, Dongsheng Cui, Jie Su, Jincheng Zhang, Yue Hao, Jingjing Chang   +8 more
doaj   +1 more source

Device-Algorithm Co-Optimization for an On-Chip Trainable Capacitor-Based Synaptic Device with IGZO TFT and Retention-Centric Tiki-Taka Algorithm. [PDF]

Adv Sci (Weinh), 2023
Won J, Kang J, Hong S, Han N, Kang M, Park Y, Roh Y, Seo HJ, Joe C, Cho U, Kang M, Um M, Lee KH, Yang JE, Jung M, Lee HM, Oh S, Kim S, Kim S.   +18 more
europepmc   +1 more source

Ultrasound in Women's Health: Mechanisms, Applications, and Emerging Opportunities

Advanced Materials, EarlyView.
As healthcare moves toward decentralization, ultrasound technologies are evolving from strictly imaging tools in clinical settings into versatile diagnostic and therapeutic platforms, with growing roles addressing women's health needs. This review highlights how ultrasound's underlying physical mechanisms can be harnessed to reduce disparities in women'
Sarah B. Ornellas, Bilal Kizilaslan, Aastha Shah, Jason F. Hou, Yoonsoo Shin, Alejandra Hernandez Moyers, Claudia Lozano, Canan Dagdeviren   +7 more
wiley   +1 more source

Photonic–Electronic Modulated a-IGZO Synaptic Transistor with High Linearity Conductance Modulation and Energy-Efficient Multimodal Learning

Micromachines
Brain-inspired neuromorphic computing is expected to overcome the von Neumann bottleneck by eliminating the memory wall between processing and memory units.
Zhidong Hou, Jinrong Shen, Yiming Zhong, Dongping Wu   +3 more
doaj   +1 more source

Benchmark of Ferroelectric Transistor-Based Hybrid Precision Synapse for Neural Network Accelerator

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019
In-memory computing with analog nonvolatile memories can accelerate the in situ training of deep neural networks. Recently, we proposed a synaptic cell of a ferroelectric transistor (FeFET) with two CMOS transistors (2T1F) that exploit the hybrid ...
Yandong Luo, Panni Wang, Xiaochen Peng, Xiaoyu Sun, Shimeng Yu   +4 more
doaj   +1 more source

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

Advanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu, Yu‐Tao Li, Luyu Zhao, Yi Zhang, Zhaojie Zhang, Jian Yuan, Yiwen Wu, Anqi Che, Yuanxiao Ma, Yang Chai, Yeliang Wang   +10 more
wiley   +1 more source