Results 231 to 240 of about 9,062,378 (345)
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
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
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel +3 more
wiley +1 more source
To tackle low electrocatalytic nitrate reduction to ammonia efficiency in neutral media, this work designs chain‐like dinuclear/trinuclear polyoxometalate‐based metal‐organic complexes. Metal clusters provide nitrate adsorption/activation sites, while polyoxometalates (POMs) drive water dissociation to generate active hydrogen (*H) that migrates to ...
Qiushuang Jiang +5 more
wiley +1 more source
Reply: Antimicrobial Stewardship at the End of Life: From Overtreatment to Responsible Practice. [PDF]
Alwazzeh MJ.
europepmc +1 more source
Emerging Device Applications From Strong Light–Matter Interactions in 2D Materials
Two‐dimensional semiconductors enable extremely compact optoelectronic devices such as solar cells, sensors, LEDs, and lasers. Their strong light–matter interactions allow efficient light emission, detection, and energy conversion. This review article discusses the recent progress in integrating these materials with optical cavities and nanostructures ...
Janani Archana K +7 more
wiley +1 more source
Graph‐Theory Approach to Element Miscibility and Alloy Design
Graph and network theory enables pathway toward complex multiscale interactions between different elements for alloy design or interface engineering. Utilizing element's inherent properties and preferential interactivity, favorable mixed material formation, solubility and miscibility can be predicted.
Andrew Martin +6 more
wiley +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
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
Inclusive and sustainable active mobility: recommendations for older adults in Montenegro. [PDF]
Popovic S +2 more
europepmc +1 more source
This review summarizes green and low‐carbon strategies throughout the entire life cycle of polyester plastics, including sustainable monomer synthesis, optimization polymerization, efficient recycling, and advanced upcycling technologies. The synergistic implementation of these strategies is expected to significantly promote the development of a ...
Jinzhou Li +5 more
wiley +1 more source

