Results 131 to 140 of about 507,719 (274)
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Accelerated Discovery of Topological Conductors for Nanoscale Interconnects
Advanced Science, EarlyView.Copper interconnects exhibit a sharp increase in resistivity at ultra‐scaled dimensions, threatening continued miniaturization of integrated circuits. The gapless surface states of topological semimetals provide conduction channels resistant to localization.
Alexander C. Tyner +7 more
wiley +1 more source
Advanced Science, EarlyView.We present a conformable wearable ultrasound patch for noninvasive bladder volume monitoring. A flexible PZT array combined with a concave acoustic lens concentrates acoustic energy and improves depth selectivity through the anterior pelvic wall.
Long Long Cao +4 more
wiley +1 more source
Advanced Science, EarlyView.Inspired by the regulation mechanism of window blinds, this study designs an electromagnetic wave‐absorbing metamaterial. By introducing the magneto‐electric coupling concept and integrating it with an artificial intelligence‐based data‐driven collaborative optimization strategy, the material optimizes impedance matching performance and enhances loss ...
Zhe Wang +9 more
wiley +1 more source
Analysis of Multiscale Condensation Phenomena Using a Zero‐Shot Computer Vision Framework
Advanced Science, EarlyView.A zero‐shot computer vision framework quantifies multiscale condensation dynamics by automatically segmenting droplets and extracting physical parameters without labeled data. The workflow integrates data mining and statistical analysis to reveal droplet growth, coalescence statistics, and sweeping behaviors, enabling label‐free measurement of heat ...
Donghyeong Lee +5 more
wiley +1 more source
PhysEmbedFormer: a physics-guided interpretable architecture for days-ahead forecasting of PV power. [PDF]
Sci RepYu Y, Loskot P, Gao Y.
europepmc +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
Advanced Science, EarlyView.We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
Improving in vitro Gastrointestinal Stability of Phlorotannins From Food Grade Fucus vesiculosus Extracts Using Cyclodextrins. [PDF]
J Food SciReis SF +5 more
europepmc +1 more source
Advanced Science, EarlyView.MnRhP has been identified as a novel kagomé magnet that hosts magnetic skyrmions above room temperature and exhibits a large intrinsic anomalous Hall effect. The latter originates from Berry curvature associated with gapped nodal lines, establishing MnRhP as a promising platform for exploring high‐temperature topological phenomena in both real and ...
Kosuke Karube +9 more
wiley +1 more source
Hybrid HHO-WHO Optimized Transformer-GRU Model for Advanced Failure Prediction in Industrial Machinery and Engines. [PDF]
Sensors (Basel)Ali AR, Kamal H.
europepmc +1 more source