Robotics & Machine Learning Daily News2024,Issue(Jul.17) :19-20.

New Machine Learning Study Findings Have Been Reported from China University of Petroleum (Modeling Thermo-physical Properties of Hydrogen Utilizing Machine Lea rning Schemes: Viscosity, Density, Diffusivity, and Thermal Conductivity)

Robotics & Machine Learning Daily News2024,Issue(Jul.17) :19-20.

New Machine Learning Study Findings Have Been Reported from China University of Petroleum (Modeling Thermo-physical Properties of Hydrogen Utilizing Machine Lea rning Schemes: Viscosity, Density, Diffusivity, and Thermal Conductivity)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Hydrogenis cruc ial in the forthcoming low-carbon energy systems offering the potential to reduc e CO2emissions and its versatility to be utilized across diverse energy sectors . Precise assessment of hydrogenthermo-physical characteristics is vital for th e effective design and execution of numerous processesencompassing hydrogen pro duction, transportation, storage, and utilization.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Elements/Emerging Technologies/Gases/Hydrogen/Inorganic Chemical s/Machine Learning/China University of Petroleum

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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