首页|Studies from University of Michigan Reveal New Findings on Machine Learning (Pre dicting Aggregation Rates of Polycyclic Aromatics Through Machine Learning)
Studies from University of Michigan Reveal New Findings on Machine Learning (Pre dicting Aggregation Rates of Polycyclic Aromatics Through Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Ann Arbor, Michigan , by NewsRx journalists, research stated, “The transition of gas -phase polycycl ic aromatic compounds (PACs) into mature soot particles stands as a critical sta ge in the process of soot formation. However, formulating an accurate estimation of the rates of these processes poses a challenge, stemming from the need to co nsider the energy barriers controlling the dimerization of PACs.”
Ann ArborMichiganUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningUnivers ity of Michigan
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