Results 141 to 150 of about 1,282,048 (295)
Experimental Measurement of the Drag Coefficient [PDF]
, 1973 T. Vreeland +2 more
openaire +3 more sources
Agribusiness, EarlyView.ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb +2 more
wiley +1 more source
Study of Drag Coefficient Using CFD Tools [PDF]
, 2012 Flow over cylinder is frequently encountered in practice. The objective of this project is modelling and simulation of the flow over a cylinder by using CFD techniques in order to study the values of drag coefficient at different Reynolds number ranging ...
Priyadarshini, Varsa
core
Lumped modeling of bubbling fluidized beds for high‐temperature processes
AIChE Journal, EarlyView.Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh +3 more
wiley +1 more source
Experimental and numerical study of liquid–liquid systems using the Euler–Lagrange/VOF approach
AIChE Journal, EarlyView.Abstract Achieving stable liquid–liquid dispersions with controlled droplet size remains a challenge due to the complex interplay of dispersed phase viscosity, hydrodynamic conditions and interfacial interactions. This work presents a validated computational framework for droplet breakage and coalescence in liquid–liquid dispersions with variable ...
Pavel Krýsa +3 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
LABORATORY TESTS OF THE AERODYNAMIC DRAG COEFFICIENT OF THE FLAG AS A BODY WITH LOW STIFFNESS
TASK Quarterly, 2009 The shape and drag of bodies with small stiffness may change during the airflow. This problem refers to such bodies as flags, bands, banners, flapping sails as well as blades and cables which vibrate due to the flow.
ANDRZEJ WILK, MARIUSZ SKUTA
doaj
Inversion of Wind-Stress Drag Coefficient in Simulating Storm Surges by Means of Regularization Technique. [PDF]
Int J Environ Res Public Health, 2019 Xu J, Zhang Y, Lv X, Liu Q.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
Advanced Intelligent Discovery, EarlyView.A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source