Results 51 to 60 of about 18,147 (273)

Compensation for In-Phase/Quadrature Phase Mismatch in Coherent Free-Space Optical QPSK Communication Systems

open access: yesApplied Sciences, 2021
The Gram–Schmidt orthogonalization procedure (GSOP) and Löwdin symmetric orthogonalization procedure (SYOP) are the two mainstream algorithms for the compensation of phase mismatch in an imperfect optical 90° hybrid.
Xueliang Li   +4 more
doaj   +1 more source

Metamaterial Antennas Enhance MRI of the Eye and Occipital Brain

open access: yesAdvanced Materials, EarlyView.
A radiofrequency antenna platform comprising planar and bend configurations is developed, incorporating structurally integrated epsilon‐negative metamaterial unit cells to enhance MRI. These antennas enable high‐resolution in vivo human MRI of the eye, orbit, and occipital brain. Comprehensive validation, including simulations, phantom experiments, SAR,
Nandita Saha   +14 more
wiley   +1 more source

New Directions in Focused Ion Beam Induced Deposition for the Nanoprinting of Functional 3D Heterostructures

open access: yesAdvanced Materials Technologies, EarlyView.
Here, it is shown that focused ion beam induced deposition (FIBID) using helium and neon ions enables advanced high‐resolution 3D nanoprinting achieving precise multimaterial architectures and engineered internal voids. Thus, FIBID with finely focused noble gas ion species is presented as a unique platform for designing functional nanomaterials for ...
Frances Isabel Allen
wiley   +1 more source

Performance of Coherent Optical MPSK in Underwater Turbulent Channels With Phase Errors

open access: yesIEEE Photonics Journal
Compared to intensity modulation with direct detection, coherent detection offers superior receiver sensitivity, higher spectral efficiency, and better background noise suppression.
Jiashun Hu   +4 more
doaj   +1 more source

Hitless Rate Switching for Dynamically Reconfigurable Optical Systems

open access: yesIEEE Photonics Journal, 2015
We propose a set of techniques to enable hitless rate switching for reconfigurable optical systems and validate, by computer simulations, their applicability to NRZ, RZ, and Nyquist pulse shapes. The polarization-multiplexed quadrature phase-shift keying
Valery N. Rozental, Darli A. A. Mello
doaj   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

open access: yesAdvanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio   +3 more
wiley   +1 more source

Direct quadrature phase shift keying modulator using six-port technology

open access: yesElectronics Letters, 2005
A direct quadrature phase shift keying modulator based on six-port technology is presented. The modulator comprises a six-port circuit, a switch matrix and open and short terminations. Using this modulator, direct phase shift keying modulation was achieved.
Y. Zhao   +4 more
openaire   +1 more source

XOR‐Logic Phase Coding Programmable Metasurface for Low Power‐Consumption Systems

open access: yesAdvanced Science, EarlyView.
By leveraging XOR logic, the biasing‐network complexity of 2D programmable metasurfaces is reduced from m×n to m+n through efficient row‐column control. This enables versatile functions including beam deflection and beamforming, facilitating applications in wireless communications and beyond.
Ruichao Zhu   +10 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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