首页|Study Results from Qingdao University of Science and Technology in the Area of M achine Learning Reported (Machine Learning Assisted Selection of Catalyst for G- valerolactone Hydrogenation From Levulinic Acid)
Study Results from Qingdao University of Science and Technology in the Area of M achine Learning Reported (Machine Learning Assisted Selection of Catalyst for G- valerolactone Hydrogenation From Levulinic Acid)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news originatingfrom Shandong, People’s Republic of China, by NewsRx correspondents, research stated, “The preparationof gamma-v alerolactone by levulinic acid (LA) hydrogenation is green, efficient, and econo mical, but thetraditional catalyst selection and optimization methods have low efficiency and high cost, which cannotmeet the development needs of the chemica l industry. To this end, we conducted new research to develop amachine learning framework to predict LA conversion and gamma-valerolactone yield, accelerating catalystselection and optimization.”
ShandongPeople’s Republic of ChinaAs iaCarboxylic AcidsCyborgsEmerging TechnologiesKeto AcidsLevulinic Acid sMachine LearningQingdao University of Science and Technology
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