Results 121 to 130 of about 7,747 (289)
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Efficient mask synthesis with augmented Lagrangian methods in computational lithography
A fast approach based on augmented Lagrangian methods (ALMs) is proposed to solve the inverse imaging problem in optical lithography, known as inverse lithography technology.
Lam, EY, Li, J
core +1 more source
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita +4 more
wiley +1 more source
Two-photon lithography (TPL) is a laser-based additive manufacturing technique that enables the printing of arbitrarily complex cm-scale polymeric 3D structures with sub-micron features.
Rushil Pingali +2 more
doaj +1 more source
We introduce neural lithography to address the ‘design-to-manufacturing’ gap in computational optics. Computational optics with large design degrees of freedom enable advanced functionalities and performance beyond traditional optics.
Zheng, Cheng, Zhao, Guangyuan, So, Peter
core +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
The proximity effect induced by electron scattering is one of the main factors limiting the development of high-resolution electron beam lithography (EBL) technology.
Qingyuan Mao +3 more
doaj +1 more source
Sustainable Synaptic Device with Two‐Dimensional Ferroelectric Materials for Neuromorphic Computing
α‐In2Se3 based FeSFETs can be utilized as sustainable devices through polarization switching governed by both out‐of‐plane and in‐plane polarizations. Upon reaching a fatigued state, current annealing enabled by conductance modulation can significantly enhance the endurance of FeSFETs.
Jaewook Yoo +12 more
wiley +1 more source
Synaptic κ‐Ga2O3 Photodetectors for Privacy‐Enhancing Neuromorphic Computing
We report on a single‐element neuromorphic sensor based on the persistent photoconductivity (PPC) of κ‐phase Ga2O3 capable of sensing ultraviolet light and harnessing intrinsic data privacy. The approach establishes a materials‐enabled pathway toward compact, intelligent, and privacy‐enhancing optoelectronic hardware for next‐generation edge systems ...
Yanqing Jia +13 more
wiley +1 more source
Optimization of SWCNT‐FET Biosensors by Aptamer Engineering and Toehold‐Mediated Strand Displacement
Aptamer‐based single‐walled carbon nanotube (SWCNT) field‐effect transistor (FET) biosensors are developed for label‐free, real‐time biomarker detection. Truncated DNA aptamers enhance sensitivity through improved conformational switching. A toehold‐mediated strand displacement (TMSD) strategy optimizes functionalization and simplifies fabrication. The
Haosen Miao +8 more
wiley +1 more source

