Results 151 to 160 of about 1,664 (280)

$\ell_p$-sphere covering and approximating nuclear $p$-norm

open access: yes
The spectral $p$-norm and nuclear $p$-norm of matrices and tensors appear in various applications albeit both are NP-hard to compute. The former sets a foundation of $\ell_p$-sphere constrained polynomial optimization problems and the latter has been ...
Li, Zhening   +3 more
core  

Learnable spatial-spectral transform-based tensor nuclear norm for multi-dimensional visual data recovery

open access: yes
Recently, transform-based tensor nuclear norm (TNN) methods have received increasing attention as a powerful tool for multi-dimensional visual data (color images, videos, and multispectral images, etc.) recovery. Especially, the redundant transform-based
Wang, Yao   +5 more
core   +1 more source

Light Switchable Ionic Conductivity of Arylazopyrazole Modified Polysiloxanes

open access: yesAdvanced Materials Technologies, EarlyView.
We present a polysiloxane functionalized with a novel arylazopyrazole dye that undergoes reversible photoisomerization. Upon lithium bis(trifluoromethanesulfonyl)imide addition and UV irradiation, the polymer exhibits a shift in tan(d) toward higher frequencies and enhanced ionic conductivity.
Malte S. Beccard   +7 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

Robust Tensor Learning for Multi-View Spectral Clustering

open access: yes
Tensor-based multi-view spectral clustering methods are promising in practical clustering applications. However, most of the existing methods adopt the ℓ2,1 norm to depict the sparsity of the error matrix, and they usually ignore the global ...
Zibao Li   +3 more
core   +1 more source

Highly Anisotropic Quasi‐Direct Organic Metal Halide Hybrids: A Platform for Polarization‐Sensitive Optoelectronics

open access: yesAdvanced Materials Technologies, EarlyView.
One‐dimensional C4N2H14PbBr4 is shown to have a quasi‐direct electronic band structure and strongly anisotropic transport with polarized broadband emission. A GW/Bethe–Salpeter excited‐state force formalism, supported by polarized Raman and temperature‐dependent photoluminescence, identifies low–frequency Pb–Br phonons that drive ultrafast exciton self‐
Rijan Karkee   +7 more
wiley   +1 more source

Shaping Carbon Nitrides for Advanced Macrostructures

open access: yesAdvanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

3D Printed Omniphobic Slippery Liquid Infused Porous Surfaces for Low Surface Tension Repellency

open access: yesAdvanced Materials Technologies, EarlyView.
A 3D printing strategy fabricates omniphobic slippery liquid‐infused porous structures with lubricant reservoirs and interconnected microchannels. A post‐printing surface treatment modifies the porous surface to ensure compatibility with the infused fluorinated lubricant.
Noa Trink, Shlomo Magdassi
wiley   +1 more source

Enhancing Small Molecule Sensing With Aptameric Functionalized Nano Devices

open access: yesAdvanced Materials Technologies, EarlyView.
Unveiling an ultra‐sensitive, non‐invasive neurotransmitter sensor. For the first time, a nanoscale sensor for detecting an important neurotransmitter was demonstrated using micro‐electromechanical systems (MEMS) technology. Our approach utilized field‐effect transistor (FET)‐based readout to enable pico‐molar detection of biomarkers in sweat.
Thi Thanh Ha Nguyen   +11 more
wiley   +1 more source

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