首页|Investigators at Zhejiang University Describe Findings in Machine Learning [Machine Learning Tabulation of Thermochemistry for Turbulent Dimethyl Ether (Dme ) Flames]
Investigators at Zhejiang University Describe Findings in Machine Learning [Machine Learning Tabulation of Thermochemistry for Turbulent Dimethyl Ether (Dme ) Flames]
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Elsevier
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 Shanghai, People’s Re public of China, by NewsRx editors, research stated, “The present work applies a machine learning tabulation methodology for the thermochemistry of ether (DME), a typical biodiesel fuel, to accelerate the real-time computation of a large-si ze DME mechanism turbulent non-premixed combustion. This approach is known as th e hybrid flamelet/random data and multilayer perceptrons (HFRD-MMLP) method (Din g et al., 2021).”
ShanghaiPeople’s Republic of ChinaAs iaChemistryCyborgsEmerging TechnologiesMachine LearningThermochemistryZhejiang University
NETL
NSTL
Elsevier
