Results 71 to 80 of about 12,907 (261)

Flow and transport simulation of Madeira River using three depth-averaged two-equation turbulence closure models

Water Science and Engineering, 2012
This paper describes a numerical simulation in the Amazon water system, aiming to develop a quasi-three-dimensional numerical tool for refined modeling of turbulent flow and passive transport of mass in natural waters.
Li-ren Yu
doaj   +1 more source

CALB2 is a Mechanoresistance Gene in Metastatic Prostate Cancer

Advanced Science, EarlyView.
Prostate cancer cell lines of differing origins were cultured over many passages while being subjected to semi‐lethal levels of fluid shear stress, representing the harsh mechanical environment these cells are subjected to in the circulation during the process of distant metastasis.
Abigail R. Fabiano, Allen C. Luo, Paul Taufalele, Jenna A. Dombroski, Ehsan Aalaei, Schyler J. Rowland, Melissa S. Cantú, Alexandria T. Carter, Samantha V. Knoblauch, Cynthia A. Reinhart‐King, Michael R. King   +10 more
wiley   +1 more source

Analysis of liquid steel flow in a multi-strand tundish using numerical methods

Metalurgija, 2015
The article presents the results of liquid steel flow and mixing in tundish when applying turbulence inhibitor to modernize the tundish working zone.
P. Warzecha, M. Warzecha, T. Merder
doaj  

Emergent Spinning and Orbital Motion in Clustered Wind‐Assisted Flyers

Advanced Science, EarlyView.
Inspired by natural snowflake geometries, paper‐cut flyers exhibit geometry‐defined spinning and orbital motions during cluster formation in a wind tunnel. Collective flights of multiple paperflakes reveal dynamic clustering, fragmentation, and continuously evolving spin behaviors.
Bingnan Zhou, Rahul Chand, Fahad Ahmed Korai, Jianfeng Yang, Valtteri Savonen, Fan Liu, Qi Yang, Hao Zeng   +7 more
wiley   +1 more source

From Flow to Function: Using Different Static Mixers to Fabricate Microarchitected Materials Via Chaotic Printing

Advanced Science, EarlyView.
Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve, Carlos Fernando Ceballos‐González, Diego Alonso Quevedo‐Moreno, Irving Isaí Rendón‐Moreno, Ariel Cantoral‐Sánchez, Héctor Ambriz‐González, Mario Moisés Alvarez, Grissel Trujillo‐de Santiago   +7 more
wiley   +1 more source

AI‐Assisted Engineering of Glycyrrhizic Acid/Simvastatin Nanocrystals for Multifunctional Treatment of Bacterial Osteomyelitis

Advanced Science, EarlyView.
Through AI‐assisted screening from FDA‐approved API to overcome the limitations of bacterial osteomyelitis treatment, glycyrrhizic acid and simvastatin are identified as a multifunctional combination capable of self‐assembling into mechanism‐targeting nanocrystals that effectively neutralize reactive oxygen species, suppress M1 macrophage polarization,
Yu Han, Yao Zhao, Chengbo Yang, Miao Niu, Jun Dai, Quanxin Ning, Kai Xiao, Jinzheng Liang, Wensheng Zhang, Liang Wang, Dan Shao, Dongsong Li   +11 more
wiley   +1 more source

Nanometer Layer Coating to Lactose Particles for Optimization of Dexamethasone Pulmonary Delivery

Advanced Science, EarlyView.
Nanometer layer coating (NLC) was investigated and its mechanism illustrated by advanced characterization techniques. The effects and application for the inhalation of dexamethasone (DEX) were demonstrated through in vitro and in vivo evaluation. This approach increased DEX bioavailability and enabled the dose to be reduced to 1/30 of the intravenous ...
Qin Nie, Jiahe Liu, Xiangyu Zhao, Siying Yang, Han Sun, Bingqian Jia, Xiaohong Ren, Xintao Chen, Lixin Sun, Li Wu, Caifen Wang, Jiwen Zhang   +11 more
wiley   +1 more source

Effect of network architecture on physics-informed deep learning of the Reynolds-averaged turbulent flow field around cylinders without training data

Frontiers in Physics
Unsupervised physics-informed deep learning can be used to solve computational physics problems by training neural networks to satisfy the underlying equations and boundary conditions without labeled data.
Jan Hauke Harmening, Jan Hauke Harmening, Franz-Josef Peitzmann, Ould el Moctar   +3 more
doaj   +1 more source

Turbulence: Numerical Analysis, Modeling, and Simulation

Fluids, 2018
The problem of accurate and reliable prediction of turbulent flows is a central and intractable challenge that crosses disciplinary boundaries. [...]
William Layton
doaj   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source