Accelerating the Development of Sustainable Catalytic Processes through Data Science

已完结 10 由小太阳发布于 2025/1/6 15:00:25

DOI:10.1021/acs.oprd.4c00434
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1021/acs.oprd.4c00434

American Chemical Society (ACS)

Abstract：Herein, we describe the optimization of reaction conditions for a nickel-catalyzed borylation using a combination of machine learning, high-throughput experimentation, and Bayesian optimizat

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:Institute of Electrical and Electronics Engineers (IEEE)Task Allocation for Mobile Crowdsensing with Deep Reinforcement Learning