首页|Research Conducted at Zhejiang University Has Updated Our Knowledge about Machine Learning (Machine Learning for Revealing the Relationship Between the Process- structure-properties of Polypropylene In-reactor Alloys)
Research Conducted at Zhejiang University Has Updated Our Knowledge about Machine Learning (Machine Learning for Revealing the Relationship Between the Process- structure-properties of Polypropylene In-reactor Alloys)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting out of Zhejiang, People’s Republic of China, by NewsRx editors, research stated, “Polypropylene in-reactor alloys p resent a complex structure influenced by diverse polymerization process paramete rs, posing challenges for traditional analysis methods in establishing a quantit ative relationship between process conditions, alloy structures and mechanical p roperties. To address this issue, a series of polypropylene/poly(ethylene-co-pro pylene) alloys with varied structures were synthesized by gas-phase polymerizati on.”
ZhejiangPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesHydrocarbonsMachine LearningOrga nic ChemicalsPolyenesPolypropylenesZhejiang University
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