Results 131 to 140 of about 20,682 (300)

Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images. [PDF]

open access: yes, 2019
BackgroundLiver alignment between series/exams is challenged by dynamic morphology or variability in patient positioning or motion. Image registration can improve image interpretation and lesion co-localization.
Bittencourt, Leornado Kayat   +12 more
core  

Electric‐Current‐Induced Phase Transformation in Cu6Sn5 Below Its Equilibrium Transition Temperature

open access: yesAdvanced Science, EarlyView.
Electric current induces a monoclinic‐to‐hexagonal phase transformation in Cu6Sn5 at a measured bulk temperature of ∼120°C, below the equilibrium transition temperature. Ex situ synchrotron x‐ray diffraction, TEM, and matched thermal controls show that current stressing promotes the formation of a retained hexagonal η‐phase post‐stress state not ...
Shih‐kang Lin   +3 more
wiley   +1 more source

Phase‐Resolved Defect Transport Mechanisms Governing Asynchronous Ordering in a Eutectic High‐Entropy Alloy

open access: yesAdvanced Science, EarlyView.
Phase‐resolved experiments and atomistic simulations reveal asynchronous ordering behaviors in a eutectic high‐entropy alloy during isothermal annealing. Distinct defect transport mechanisms are identified in coexisting B2 and BCC phases, showing that vacancy and interstitial mediated diffusion governs phase‐dependent thermal stability.
Huiwen Yao   +5 more
wiley   +1 more source

Tunable High‐Performance Metamaterial Filters Based on Novel SRR Architectures

open access: yesAdvanced Science, EarlyView.
Based on two novel SRR configurations and two independent SRR integration approaches, four tunable bandpass metamaterial filters were fabricated with an ultra‐thin ceramic substrate. Among them, SM‐2 achieves over 97% electromagnetic wave transmittance, with a minimal 1.15% deviation in its resonant frequency prediction, making them promising ...
Lingxi Qu   +4 more
wiley   +1 more source

Developing Micro/Nanostructured Fluidic Mixing Technology for Biomedical Applications

open access: yesAdvanced Science, EarlyView.
This review critically evaluates how micro/nanostructured mixing technologies are redefining biomedical research. By synergizing fundamental analysis, numerical modeling, structural design, and external field manipulation, these systems attain unprecedented control over mass transport.
Junkai Wang   +3 more
wiley   +1 more source

Stress‐to‐Light Conversion in an Earth‐Abundant Oxide Semiconductor

open access: yesAdvanced Science, EarlyView.
Stress‐to‐light conversion in solids represents a unique photonic functionality, yet it has never been realized in a chemically simple and sustainable material. Here, we show that sustainable semiconductor ZnO exhibits strong near‐infrared (NIR) luminescence under elastic stress when defect‐engineered to stabilize the p‐type state.
Tomoki Uchiyama   +7 more
wiley   +1 more source

Maximum Torque Per Ampere Control Strategy of a 5-phase PM Generator in healthy and faulty modes for tidal marine turbine application [PDF]

open access: yes, 2014
The work presented in this paper aims to propose a control strategy being able to extract efficiently energy from a fixed-pitch marine current turbine associated with a 5–phase Permanent Magnet Synchronous Generator (PMSG) in healthy mode and in faulty ...
CHARPENTIER, Jean-Frederic   +3 more
core   +4 more sources

Improved Direct Ink Writing of Liquid Metal Foams via Liquid Additives

open access: yesAdvanced Electronic Materials, EarlyView.
The ability to pattern liquid metal is useful for making soft electrical and thermal devices. Dispensing liquid metal from a nozzle naturally results in the formation of spheroidal droplets, making direct‐write printing challenging. Liquid metal foams containing pockets of air can extrude as filaments, albeit inconsistently.
Febby Krisnadi   +3 more
wiley   +1 more source

Review of Fast Computation Methods for Finite-State Predictive Control of Multi-Phase Drives

open access: yesApplied Sciences
Optimizing the cost function in predictive control of multi-phase drives is computationally intensive. This poses a challenge since the required sampling period for drives falls within the microsecond range.
Esteban Marsal   +3 more
doaj   +1 more source

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