Results 101 to 110 of about 3,169,862 (288)

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

open access: yesAdvanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang   +5 more
wiley   +1 more source

Dynamic Sensor Compensation Using Analogue Adaptive Filter Compatible with Digital Technology

open access: yes, 2005
An analogue adaptive filter for dynamic response compensation of a load cell sensor is presented. The filter employs only transistors and therefore it can be integrated using standard digital CMOS technology, which is suitable for System-on-Chip ...
White, Neil M.   +2 more
core   +1 more source

A Fault Dictionary-Based Fault Diagnosis Approach for CMOS Analog Integrated Circuits

open access: yesInternational Journal of VLSI Design & Communication Systems, 2011
In this paper, we propose a simulation-before-test (SBT) fault diagnosis methodology based on the use of a fault dictionary approach. This technique allows the detection and localization of the most likely defects of open-circuit type occurring in Complementary Metal–Oxide–Semiconductor (CMOS) analog integrated circuits (ICs) interconnects.
Mouna Karmani   +3 more
openaire   +2 more sources

Friend, Not Foe: Lowered Tissue Reactivity to Long‐Term Polyimide Implants

open access: yesAdvanced Science, EarlyView.
The choice of optimal neural probe designs remains a major challenge in the field of neurotechnology. This study investigated the biocompatibility of several probe variations, including material, thickness, width, and implantation strategy. It highlights the clear advantage of soft polyimide probes over stiff silicon probes for better device ...
Corinne Orlemann   +11 more
wiley   +1 more source

A Low-Power, Analog-Integrated, Current-Mode, and Fully Tunable Artificial Neural Network Classifier Architecture for Biomedical Engineering Applications

open access: yesIEEE Open Journal of Circuits and Systems
This work presents a low-power, current-mode analog artificial neural network (ANN) classifier implemented in the TSMC 65-nm CMOS process and evaluated on two biomedical classification tasks.
Vassilis Alimisis   +5 more
doaj   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

open access: yesAdvanced Science, EarlyView.
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

Automated Observability Investigation of Analog Electronic Circuits using SPICE [PDF]

open access: yes, 2011
In the present paper, a computer-aided approach to fault observability investigation of linear analog circuits is developed. The method is based on sensitivity investigation of the test characteristics in the frequency domain.
Atanasov, Anton   +2 more
core  

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

open access: yesAdvanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

New DTMOS-Based Charge- and Flux-Controlled Memtranstor Emulators

open access: yesApplied Sciences
Memtranstors are emerging higher-order memory elements that establish a state-dependent constitutive relationship between electric charge and magnetic flux, making them attractive for adaptive analog electronics, neuromorphic computing, nonlinear ...
Predrag Petrović
doaj   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

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