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Updated: Sep 9, 2025

Hierarchical and Programmable One-Pot Oligosaccharide Synthesis
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機械学習と高通量実験の連携:自律合成への道

Rizvi Syed Aal E Ali1, Jiaolong Meng1, Xuefeng Jiang1,2,3

  • 1Hainan Institute of East China Normal University, State Key Laboratory of Petroleum Molecular & Process Engineering, Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, China.

Chemistry, an Asian journal
|August 28, 2025
PubMed
まとめ

機械学習 (ML) と高通量実験 (HTE) は 遅い手作業を 自動化された予測作業に 置き換えることで 合成化学に革命をもたらしています 化学研究における効率と精度を高め,反応の最適化を加速します.

キーワード:
人工知能による合成オートメーションハイ・スループットの実験機械学習

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