Robotics & Machine Learning Daily News2024,Issue(Aug.15) :68-68.

Studies from Sichuan University Provide New Data on Machine Learning (Evolution of Pore Systems In Low-maturity Oil Shales During Thermal Upgrading-quantified B y Dynamic Sem and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.15) :68-68.

Studies from Sichuan University Provide New Data on Machine Learning (Evolution of Pore Systems In Low-maturity Oil Shales During Thermal Upgrading-quantified B y Dynamic Sem and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews originating from Sichuan, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“In-situ upgra ding by heating is feasible for low-maturity shale oil, where the pore space dyn amicallyevolves. We characterize this response for a heated substrate concurren tly imaged by SEM.”

Key words

Sichuan/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Sichuan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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