Results 121 to 130 of about 1,992,735 (378)

Unique Aerofoil‐Structured Microfluidics for High Throughput Lipid Nanoparticle Formulation Screening and Scale‐up

Advanced Science, EarlyView.
This study presents aerofoiled microfluidic structures optimized for efficient mixing and lipid nanoparticle (LNP) formation across broad flow rates. Based on this design, two dedicated systems are introduced: MiNANO‐form for high‐throughput formulation screening and MiNANO‐scale for continuous large‐scale production, enabling reproducible, high ...
Dongsheng Liu, Mingzhi Yu, Yuguo Zhang, Allen Mathew, Tianyu Guan, Liang Yao, Xianqing Wang, Wenxin Wang, Nan Zhang   +8 more
wiley   +1 more source

Soft swimming: Exploiting deformable interfaces for low-Reynolds number locomotion

, 2008
Reciprocal movement cannot be used for locomotion at low-Reynolds number in an infinite fluid or near a rigid surface. Here we show that this limitation is relaxed for a body performing reciprocal motions near a deformable interface.
A. E. Hosoi, D. Boal, D. Bray, D. P. Wolf, Eric Lauga, Renaud Trouilloud, S. S. Suarez, Tony S. Yu   +7 more
core   +1 more source

A Machine Learning‐Driven Pore‐Scale Network Model Coupling Reaction Kinetics and Interparticle Transport for Catalytic Process Design

Advanced Science, EarlyView.
Designing catalytic processes in porous reactors requires resolving coupled multiscale reaction–transport phenomena. We develop a machine‐learning‐accelerated pore‐scale dual‐network model with kinetics (DNMK), which captures reaction kinetics, pore‐scale transport, and reactor‐level behavior.
Ming‐Liang Qu, Zhao‐Bin Ding, Dingyue Zhang, Sajjad Foroughi, Huanhao Chen, Zi‐Tao Yu, Jiyizhe Zhang, Lifeng Xiao, Martin J. Blunt, Xiaolei Fan, Qingyang Lin   +10 more
wiley   +1 more source

A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number

Aerospace
A low Reynolds number (Re) environment leads to severe deterioration in compressor performance, and it is necessary and challenging to accurately predict performance at a low Re during the design phase of a compressor.
Dalin Shi, Tianyu Pan, Xingyu Zhu, Zhiping Li   +3 more
doaj   +1 more source

Optical diagnostic investigation of low Reynolds number nozzle flows [PDF]

The objectives are to obtain temperature, density and velocity profile measurements in the expansion region of low Reynolds number nozzles through the use of optical diagnostics.
Micci, Michael M.
core   +1 more source

Solar‐Powered Electrokinetic Filtration using Hierarchical Porous Membranes for the Off‐Grid Removal of Ultrafine Contaminants

Advanced Science, EarlyView.
A solar‐powered nanoelectrokinetic filtration system enables high‐flux removal of ultrafine contaminants without relying on nanoscale pores or pressure‐driven membranes, offering a sustainable solution for the off‐grid water purification. Abstract The removal of ultrafine suspended solids from water remains a critical challenge due to the tradeoffs ...
Woonjae Choi, Minsoo Lee, Young June Park, Seungbin Yoon, Geunbae Lim   +4 more
wiley   +1 more source

The Harmonic Pitching NACA 0018 Airfoil in Low Reynolds Number Flow

Energies
This study investigates the aerodynamic performance of a symmetric NACA 0018 airfoil under harmonic pitching motions at low Reynolds numbers, a regime characterized by the presence of laminar separation bubbles and their impact on aerodynamic forces. The
Jan Michna, Maciej Śledziewski, Krzysztof Rogowski   +2 more
doaj   +1 more source

All‐In‐One Thermal Protection: Multifunctional Synergy in Hierarchically Structured Dual‐Oxide Nanofiber Aerogel

Advanced Science, EarlyView.
Through a cross‐scale structural design, a lightweight, heat‐resistant, and thermal‐insulating streamlined dual‐oxide nanofiber aerogel is prepared to achieve exceptional thermomechanical stability. Structural design of ceramic fibrous aerogel toward thermal protection, illustrating thermal insulation and stress dissipation.
Zijian Zhao, Shujing Li, Han Ma, Zhou Zhou, Wentao Zhao, Zichen Wei, Yanbin Li, Qingguo Fei, Yueming Sun, Yunqian Dai   +9 more
wiley   +1 more source

Learning to cooperate for low-Reynolds-number swimming: a model problem for gait coordination. [PDF]

Sci Rep, 2023
Liu Y, Zou Z, Pak OS, Tsang ACH.
europepmc   +1 more source

The lift and drag on a flat plate at low Reynolds number via variational methods [PDF]

, 1968
W. E. Olmstead, D. L. Hector
openalex   +1 more source