首页|New Machine Learning Data Have Been Reported by Researchers at Brigham Young Uni versity (Experimentally-based Fe-catalyzed Ethene Oligomerization Machine Learni ng Model Provides Highly Accurate Prediction of Propagation/termination Selectiv ity)
New Machine Learning Data Have Been Reported by Researchers at Brigham Young Uni versity (Experimentally-based Fe-catalyzed Ethene Oligomerization Machine Learni ng Model Provides Highly Accurate Prediction of Propagation/termination Selectiv ity)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reporting out of Provo, Utah, by NewsRx edit ors, research stated, “Linear alpha-olefins (1-alkenes) are criticalcomonomers for ethene copolymerization. A major impediment in the development of new homoge neousFe catalysts for ethene oligomerization to produce comonomers and other im portant commercial productsis the prediction of propagation versus termination rates that control the alpha-olefin distribution (e.g.,1-butene through 1-decen e), which is often referred to as a K-value.”
ProvoUtahUnited StatesNorth and Ce ntral AmericaCyborgsEmerging TechnologiesMachine LearningBrigham Young U niversity
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