微型反应器
羧化
电化学
约束(计算机辅助设计)
组合化学
贝叶斯概率
贝叶斯优化
化学
流动化学
流量(数学)
计算机科学
生物系统
材料科学
有机化学
催化作用
物理
数学
物理化学
机械
人工智能
电极
生物
几何学
作者
Yuki Naito,Masaru Kondo,Yuto Nakamura,Naoki Shida,Kazunori Ishikawa,Takashi Washio,Shinobu Takizawa,Mahito Atobe
摘要
Multiparameter screening of reductive carboxylation in an electrochemical flow microreactor was performed using a Bayesian optimization (BO) strategy. The developed algorithm features a constraint on passed charge for the electrochemical reaction, which led to suitable conditions being instantaneously found for the desired reaction. Analysis of the BO-suggested conditions underscored the physicochemical validity.
科研通智能强力驱动
Strongly Powered by AbleSci AI