Results 61 to 70 of about 6,599,650 (377)
Shuitu baochi tongbao, 2023 [Objective] The variation of temperature and water content in a quicksand surface layer under different protective measures and their influencing mechanisms were investigated in order to provide a theoretical basis for vegetation restoration in a desert ...
Fan Yanwei, Shi Jinhong, Tang Xingpeng
doaj +1 more source
Flow estimation in a steel pipe using guided waves [PDF]
, 2016 In this investigation, a flow rate estimation guided wave based scheme in pipes is proposed. The effect of the fluid over the propagation of longitudinal waves has been experimentally studied by using several laminar flows of water transported by a ...
Mujica Delgado, Luis Eduardo +4 more
core +3 more sources
Advanced Functional Materials, EarlyView.This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán +13 more
wiley +1 more source
Interfacial shear in adiabatic downward gas/liquid co-current annular flow in pipes [PDF]
, 2015 Interfacial friction is one of the key variables for predicting annular two-phase flow behaviours in vertical pipes. In order to develop an improved correlation for interfacial friction factor in downward co-current annular flow, the pressure gradient ...
Aliyu, A. M. +3 more
core +1 more source
Computational Analysis of the Performance of a Vertical Axis Turbine in a Water Pipe
Energies, 2019 In this study, a computational analysis was performed for a vertical-axis turbine which was installed in a water pipe to collect unused energy from the flow inside the pipe.
H. Yeo +6 more
semanticscholar +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 +7 more
wiley +1 more source
MATEC Web of Conferences, 2018 Based on the in-depth analysis of the causes of the large-scale water supply pipe network explosion at home and abroad, the paper discusses the neural network modeling technology for quickly and accurately locating the water pipe network.
Wang Luohua +4 more
doaj +1 more source
Fuel-cell heat and mass plate [PDF]
, 1974 Plate, serving as heat pipe, can be built into cell to control temperature and water inventory. Plate consists of matrix, filled with liquid water, and a space, filled with water vapor.
Asher, W. J.
core +1 more source
Large probe arrays for measuring mean and time dependent local oil volume fraction and local oil velocity component distributions in inclined oil-in-water flows [PDF]
, 2013 Arrays of dual-sensor and four-sensor needle conductance probes have been used to measure the mean and time dependent local properties of upward inclined, bubbly oil-in-water flows (also known as dispersed oil-in-water flows) in a 153mm diameter pipe ...
Angeli +20 more
core +1 more source
Advanced Functional Materials, EarlyView.This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source