首页|Findings from Chiang Mai University in the Area of Machine Learning Reported (Pr edicting Dynamic Contact Angle In Immiscible Fluid Displacement: a Machine Learn ing Approach for Subsurface Flow Applications)
Findings from Chiang Mai University in the Area of Machine Learning Reported (Pr edicting Dynamic Contact Angle In Immiscible Fluid Displacement: a Machine Learn ing Approach for Subsurface Flow Applications)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Chiang Mai, Thailand, by NewsRx correspondents, research stated, “Immisciblefluid-fluid di splacement dynamics is a crucial element to understanding and engineering many s ubsurfaceflow applications, including enhanced oil recovery and carbon dioxide geological sequestration. Althoughthere are several interfacial properties that govern such a displacement dynamic, the wettability has beenconsidered a domin ant factor.”
Chiang MaiThailandAsiaCyborgsEme rging TechnologiesMachine LearningChiang Mai University
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