AI - Based On The Fly Design of Experiments in Physics and Engineering

Kristina Dingel, A. Liehr, M. Vogel, S. Degener, David Meier, Thoralf Niendorf, Arno Ehresmann, B. Sick
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引用次数: 3

Abstract

When designing scientific experiments, the focus is mostly on data acquisition rather than on online analysis of data. However, immediate analysis enables active control or instant redesign of the experiment. In this article, we elaborate on the opportunities of creating self-improving experimental designs following the Self-Improving System Integration (SISSY) concept. Here, we propose several research questions and assess their importance by focusing on one use case concentrating on SISSY systems in general as well as two specific use cases taken from physics and materials engineering, respectively.
基于人工智能的物理与工程实验设计
在设计科学实验时,关注的主要是数据采集,而不是数据的在线分析。然而,即时分析使主动控制或即时重新设计实验成为可能。在本文中,我们详细阐述了根据自我完善系统集成(SISSY)概念创建自我完善实验设计的机会。在这里,我们提出了几个研究问题,并通过关注一个关注SISSY系统的用例以及分别来自物理和材料工程的两个特定用例来评估它们的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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