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Removing Bottlenecks in Research Workflows: Improving SERS Sampling and Computational Zeolite Experiments through the Application of Machine Learning and the Construction of Custom Data Pipelines

机译：在研究工作流程中删除瓶颈：通过应用机器学习和习俗数据管道的构建，改善SERS采样和计算沸石实验

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作者
Antonio, Dexter.;
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作者单位

University of California Davis.;

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授予单位 University of California Davis.;
学科
学位 M.S.
年度 2021
页码 82 p.
总页数 82
原文格式 PDF
正文语种 eng
中图分类
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入库时间 2022-08-17 12:03:50

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Removing Bottlenecks in Research Workflows: Improving SERS Sampling and Computational Zeolite Experiments through the Application of Machine Learning and the Construction of Custom Data Pipelines

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