论文标题
离子光束分析和大数据：数据科学如何支持下一代仪器
Ion beam analysis and big data: How data science can support next-generation instrumentation
论文作者
论文摘要
随着对大量样品对准确离子束分析的需求不断增长，这成为如何确保数百或数千个样品的质量标准和一致性的问题。从这个意义上讲，非常需要检查数据质量，排放质量证书的虚拟助手。即使处理大量光谱也是分析一致性的问题。在这项工作中，我们报告了在实验室实施的虚拟层的设计和第一个结果。它由在云中运行的一系列系统组成，该系统执行上述任务，并作为会员员工和用户的虚拟助手。我们旨在使物联网和人工智能的概念更接近实验室，以支持新一代的仪器。
With a growing demand for accurate ion beam analysis on a large number of samples, it becomes an issue of how to ensure the quality standards and consistency over hundreds or thousands of samples. In this sense, a virtual assistant that checks the data quality, emitting certificates of quality, is highly desired. Even the processing of a massive number of spectra is a problem regarding the consistency of the analysis. In this work, we report the design and first results of a virtual layer under implementation in our laboratory. It consists of a series of systems running in the cloud that perform the mentioned tasks and serves as a virtual assistant for member staff and users. We aim to bring the concept of the Internet of Things and artificial intelligence closer to the laboratory to support a new generation of instrumentation.
