Results 71 to 80 of about 392,135 (196)
AFM-Based Characterization Method of Capacitive MEMS Pressure Sensors for Cardiological Applications
Current CMOS-micro-electro-mechanical systems (MEMS) fabrication technologies permit cardiological implantable devices with sensing capabilities, such as the iStents, to be developed in such a way that MEMS sensors can be monolithically integrated ...
Jose Angel Miguel +2 more
doaj +1 more source
Gate bias is used to cancel Duffing nonlinearity in atomically thin MoS2 drumhead resonators, switching their response from hardening to softening and creating a nearly linear operating point. This electrical control suppresses hysteresis, enables stronger linear drive, and improves signal‐to‐noise ratio, offering a practical route to stable 2D NEMS ...
Pengcheng Zhang +3 more
wiley +1 more source
This report presents an 8‐inch quasi‐standard piezoelectric integrated MEMS technology (PIMT) platform which, through the integration of core and additional processes, reliably supports three rounds of multi‐project wafer (MPW) fabrication. Whilst ensuring support for mass production processes, the platform offers certain flexibility, providing a ...
Yongquan Su +18 more
wiley +1 more source
Uncooled, broadband terahertz bolometers using SOI MEMS beam resonators with piezoresistive readout
Terahertz (THz) detectors using MEMS resonators have attracted great interests owing to their high sensitivity, rapid response, and room-temperature operation capability.
Ya Zhang +8 more
doaj +1 more source
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar +10 more
wiley +1 more source
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi +5 more
wiley +1 more source
A 164-dBΩ Transimpedance Amplifier for Monolithic CMOS-MEMS Oscillators in Biosensing Applications
This article presents a fully differential tunable high-gain transimpedance amplifier (TIA) conceived as a front-end circuit for monolithic CMOS-MEMS resonators operating in self-sustained oscillation mode.
Rafel Perello-Roig +4 more
doaj +1 more source
ABSTRACT Photonic matrix processors are attracting attention in applications such as AI inference due to their low‐power and low‐latency properties. However, their applicability has been largely limited to low‐precision computation due to inherent stochastic analog noise and device non‐idealities.
Shoichi Hirasawa, Michihiro Koibuchi
wiley +1 more source
Conducting polymer/metal‐oxide nanocomposites emerge as highly promising chemiresistive sensing materials for environmental gas monitoring. Recent advances reveal strong synergistic effects that enhance sensitivity, selectivity, stability, and response kinetics while enabling lower‐temperature operation.
Katekani Shingange +5 more
wiley +1 more source
Piezoelectric microelectromechanical systems (MEMS) mirrors enable precise and rapid beam steering with low power consumption, making them essential components in light detection and ranging (LiDAR) and advanced optical imaging systems.
Yohan Jung, Dongseok Lee, Jongbaeg Kim
doaj +1 more source

