Systematic Parameter Selection for Short Fiber Polymer Composite Direct Fiber Simulation
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
Changes in choriocapillaris blood flow density and associated factors affecting axial elongation in Chinese children and adolescents with mild to moderate myopia: a cross-sectional study. [PDF]
Cui X +8 more
europepmc +1 more source
Advanced Fine Line Printing With Glass Stencils: Achieving Metal Contact Fingers Below 10 μm
This study presents a novel metallization process using microstructured glass stencils to achieve ultra‐fine line contact fingers for solar cells. The contact fingers are as narrow as 9.7 ± 0.6 μm with an optical aspect ratio of 0.45 ± 0.1. To realize these ultra‐fine line contacts, the laser induced deep etching (LIDE) process was used to create ...
T. Schweigstill +6 more
wiley +1 more source
Machine learning based dynamic trust estimation framework for Securing wireless sensor networks. [PDF]
Goswami P +3 more
europepmc +1 more source
Differential Proteomics of Large Extracellular Vesicles in Ovarian Cancer
ABSTRACT Diverse extracellular vesicles (EVs) are present in all body fluids; however, knowledge of large EVs (lEVs) remains limited. Molecular EV profiles vary depending on EV size and the physiological circulatory system, even within the same patient. In this study, we aimed to characterize the proteomic profile of IEVs in ovarian cancer patients and
Kazuhiro Suzuki +6 more
wiley +1 more source
CFD-PBM modelling for predicting the size and distribution of silica nanoparticles synthesized in an ultrasound-assisted swirling vortex flow reactor. [PDF]
Liu L +6 more
europepmc +1 more source
Evaluating machine‐learning models for wind‐speed downscaling from ECMWF‐IFS data
We benchmark recent machine‐learning methods for downscaling wind speeds from a low‐resolution 9‐km model input to 1‐km predictions. We include recent super‐resolution approaches and transformer‐based architectures and propose Windflow‐SRnet. The models are trained with input data from the ECMWF‐IFS numerical weather model to predict label data from ...
William Ericson +5 more
wiley +1 more source
Application of a Total Pressure Sensor in Supersonic Flow for Shock Wave Analysis Under Low-Pressure Conditions. [PDF]
Bílek M +8 more
europepmc +1 more source
Quantum algorithms for differential equations are developed with applications in computational fluid dynamics. The methods follow an iterative simulation framework, implementing Jacobi and Gauss–Seidel schemes on quantum registers through linear combinations of unitaries.
Chelsea A. Williams +4 more
wiley +1 more source

