Results 11 to 20 of about 644,668 (339)

Hybrid 2D–CMOS microchips for memristive applications

open access: yesNature, 2023
Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate advanced electronic circuits is a major goal for the semiconductor industry^ 1 , 2 .
Kaichen Zhu   +23 more
semanticscholar   +1 more source

Hertz-linewidth semiconductor lasers using CMOS-ready ultra-high-Q microresonators [PDF]

open access: yesNature Photonics, 2020
Driven by narrow-linewidth bench-top lasers, coherent optical systems spanning optical communications, metrology and sensing provide unrivalled performance. To transfer these capabilities from the laboratory to the real world, a key missing ingredient is
W. Jin   +11 more
semanticscholar   +1 more source

Thousands of conductance levels in memristors integrated on CMOS

open access: yesNature, 2023
Neural networks based on memristive devices^ 1 – 3 have the ability to improve throughput and energy efficiency for machine learning^ 4 , 5 and artificial intelligence^ 6 , especially in edge applications^ 7 – 21 . Because training a neural network model
Mingyi Rao   +22 more
semanticscholar   +1 more source

CMOS-based cryogenic control of silicon quantum circuits [PDF]

open access: yesNature, 2020
The most promising quantum algorithms require quantum processors that host millions of quantum bits when targeting practical applications1. A key challenge towards large-scale quantum computation is the interconnect complexity.
X. Xue   +23 more
semanticscholar   +1 more source

A CMOS silicon spin qubit [PDF]

open access: yesNature Communications, 2016
Silicon, the main constituent of microprocessor chips, is emerging as a promising material for the realization of future quantum processors. Leveraging its well-established complementary metal–oxide–semiconductor (CMOS) technology would be a clear asset ...
R. Maurand   +10 more
semanticscholar   +1 more source

CMOS current-mode chaotic neurons [PDF]

open access: yes, 1994
This paper presents two nonlinear CMOS current-mode circuits that implement neuron soma equations for chaotic neural networks, and another circuit to realize programmable current-mode synapse using CMOS-compatible BJT's.
Delgado Restituto, Manuel   +1 more
core   +1 more source

Single Photon Counting Performance and Noise Analysis of CMOS SPAD-Based Image Sensors

open access: yesSensors, 2016
SPAD-based solid state CMOS image sensors utilising analogue integrators have attained deep sub-electron read noise (DSERN) permitting single photon counting (SPC) imaging.
Neale A. W. Dutton   +3 more
doaj   +1 more source

Systematic Design of a Pseudodifferential VCO Using Monomial Fitting

open access: yesElektronika ir Elektrotechnika, 2023
Digital integrated electronics benefits from its higher abstraction level, allowing optimisation methods and automated workflows. However, analogue integrated circuit design is still predominantly done manually, leading to lengthy design cycles.
Nicolai J. Dahl   +2 more
doaj   +1 more source

A CMOS Vector-Sum Phase Shifter for 5G mm-Wave Application [PDF]

open access: yesJournal of Electromagnetic Engineering and Science, 2022
This paper presents a wideband CMOS vector-sum phase shifter (VSPS) targeting the n260 band of 5G communication. A differential quadrature generator is implemented using a Marchand balun and two 90° coupled-line couplers to improve robustness to process ...
Eunjung Kim   +2 more
doaj   +1 more source

Switched-Current Chaotic Neurons [PDF]

open access: yes, 1994
The Letter presents two nonlinear CMOS current-mode circuits that implement neuron soma equations for chaotic neural networks. They have been fabricated in a double-metal, single-poly 1.6µm CMOS technology.
Delgado Restituto, Manuel   +1 more
core   +1 more source

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