Tsinghua University Reports Findings in Machine Learning (Precise Regulation on the Bond Dissociation Energy of Exocyclic C-N Bonds in Various N-Heterocycle Ele ctron Donors via Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(MAY.1) ：32-32.

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Tsinghua University Reports Findings in Machine Learning (Precise Regulation on the Bond Dissociation Energy of Exocyclic C-N Bonds in Various N-Heterocycle Ele ctron Donors via Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Heterocycleswith saturate d N atoms (HetSNs) are widely used electron donors in organic light-emitting dio de (OLED)materials. Their relatively low bond dissociation energy (BDE) of exoc yclic C-N bonds has been closelyrelated to material intrinsic stability and eve n device lifetime.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning

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2024

Robotics & Machine Learning Daily News

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