Results 81 to 90 of about 30,423 (148)

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq   +4 more
wiley   +1 more source

Quantitative Diffusion and T2 Mapping Using RF‐Modulated Phase‐Based Gradient Echo Imaging

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce and evaluate the feasibility of a novel RF‐phase modulated gradient echo (GRE) method for quantitative diffusion MRI, aimed at mitigating geometric distortion and enabling high‐resolution 3D quantitative diffusion/T2 mapping as a complementary alternative to conventional DWI.
Daiki Tamada   +4 more
wiley   +1 more source

Molecular Insights Into the Water Freezing on Kaolinite Surfaces: The Key Role of Surface Properties

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Unfrozen water content is a key factor governing the physical properties of frozen soils, and variations in mineral surface properties play a critical role in determining this content. However, the fundamental physical mechanisms of how different mineral surfaces affect soil water freezing remain poorly understood.
Yijie Wang   +2 more
wiley   +1 more source

Gap Symmetry, Electronic Structure and Interplay Between Superconductivity and Spin Density Wave in Sr1−xKxFe2As2 Superconductor

open access: yesNano Select, EarlyView.
In moderately hole‐doped Sr1−xKxFe2As2${\rm Sr}_{1-x}{\rm K}_x{\rm Fe}_2{\rm As}_2$ system the pairing state is s+−${\rm s}^{+-}$ wave pairing state mediated by spin fluctuations. As the SDW order parameter increases, TC${\rm T}_C$ decreases and TM${\rm T}_M$ increases. As temperature increases, the SDW order parameter decreases and vanishes at TM${\rm
Gedefaw Mebratie   +2 more
wiley   +1 more source

GraphReco: Probabilistic Structure Recognition for Chemical Molecules

open access: yesChemistryOpen, EarlyView.
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang   +2 more
wiley   +1 more source

Systematic Parameter Selection for Short Fiber Polymer Composite Direct Fiber Simulation

open access: yesPolymer Composites, EarlyView.
Interactions of individually simulated fibers are systematically calibrated such that their orientation history agrees with the results from analytical orientation models. ABSTRACT The orientation of fibers in short discontinuous fiber reinforced polymer composites is a critical factor in determining final mechanical and thermal properties.
Jason B. Pierce, Douglas E. Smith
wiley   +1 more source

Annual Reports to the ESA Council ESA 110th Annual Meeting July, 2025

open access: yes
The Bulletin of the Ecological Society of America, EarlyView.
wiley   +1 more source

Fused Filament Fabrication and Recycling of Bio‐Based Polyamide 11 Reinforced With Recycled Short Carbon Fibers

open access: yesPolymer Composites, EarlyView.
Fused Filament Fabrication and Recycling of Bio‐Based Polyamide 11 Reinforced With Recycled Short Carbon Fibers. Sample preparation, mechanical properties improvement after rCF addition and properties retainment after recycling. ABSTRACT This research investigates the fused filament fabrication (FFF) and recycling of bio‐based polyamide 11 (PA11 ...
Mirko Coser   +2 more
wiley   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

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