首页|Researchers from China University of Petroleum Describe Findings in Machine Lear ning (Machine-learning Assisted Analysis On Coupled Fluid-dynamics and Electroch emical Processes In Interdigitated Channel for Iron-chromium Flow Batteries)
Researchers from China University of Petroleum Describe Findings in Machine Lear ning (Machine-learning Assisted Analysis On Coupled Fluid-dynamics and Electroch emical Processes In Interdigitated Channel for Iron-chromium Flow Batteries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Beijing, People’s Rep ublic of China, by NewsRx editors, research stated, “This study explores the imp act of interdigitated flow channel spacing on electrolyte distribution and flow velocity in porous electrodes, thereby affecting pump consumption and system eff iciency. Utilizing a 3D electrochemical flow-coupled model, the research investi gates the electrochemical performance and energy efficiency across various chann el spacings, specific flow rates, and current densities.”
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