Results 181 to 190 of about 482,748 (350)

Optimization of ski jumping in-run posture using computational fluid dynamics. [PDF]

Sci Rep
Liu W, Lu F, Suo X, Tang W.
europepmc   +1 more source

Scientific Visualization in Computational Fluid Dynamics : Research Environment and Resent Topics in United States,Europe & Japan

, 1993
Kozo Fujii
openalex   +2 more sources

Quality and trust in industrial computational fluid dynamics [PDF]

, 2001
Andrew Hutton
openalex   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

Advanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh, Ankita Mohanty, Amit Malakar, Suryasarathi Bose, Suprakas Sinha Ray   +4 more
wiley   +1 more source

Morphotype-based risk stratification in patients with patent foramen ovale using computational fluid dynamics. [PDF]

Sci Rep
Morelli F, Guadagno V, Mencarini T, Brambilla M, Fusini L, Bozzi S, Trabattoni D, Camera M, Redaelli A.   +8 more
europepmc   +1 more source

Computational Fluid Dynamics (CFD) as a tool for the analysis of ventilation and indoor microclimate in agricultural buildings

, 1997
Α. Mistriotis, T. de Jong, M.J.M. Wagemans, G.P.A. Bot   +3 more
openalex   +2 more sources

Patient-Specific Simulation of Carotid Artery Stenting Using Computational Fluid Dynamics [PDF]

, 2001
Juan R. Cebral, Rainald Löhner, O. J. Soto Sandoval, Peter L. Choyke, Peter J. Yim   +4 more
openalex   +1 more source

Microfluidic Synthesis of Channel‐Rich Pd‐Cu Alloy Nanodendrites for Efficient Electrocatalytic CO2 Reduction to Formate

Advanced Functional Materials, EarlyView.
A microfluidic system enables the rapid, room‐temperature fabrication of channel‐rich Pd‐Cu alloy nanodendrites with tunable composition, uniform morphology, and finely branched internal structures. The resulting catalysts exhibit over 90% formate selectivity across a broad potential window, along with excellent CO tolerance and enhanced long‐term ...
Xintong Huang, Xude Yu, Hengyuan Liu, Shunkai Xia, Yongqi Jia, Zhuo Chen, Jianhong Xu, Younan Xia   +7 more
wiley   +1 more source

A Design Improvement Strategy for Axial Blood Pumps Using Computational Fluid Dynamics

, 1996
Greg W. Burgreen, James F. Antaki, Bartley P. Griffith   +2 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source