High-throughput experimentation (HTE) can be a powerful tool in chemical research, and the large datasets it generates could play a role in applying machine-learning methods to chemical predictions. But high-throughput experimentation can sometimes be viewed as inaccessible to the academic chemist. This Voices, in conjunction with our recent panel (https://www.brighttalk.com/webcast/16651/499811), asks: what are the myths associated with high-throughput experimentation? What is the role of automation in chemistry moving forward?

中文翻译：

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化学中高通量实验和自动化的误区

高通量实验 (HTE) 可以成为化学研究中的强大工具，它生成的大型数据集可以在将机器学习方法应用于化学预测方面发挥作用。但高通量实验有时被认为是学术化学家无法实现的。该 Voices 与我们最近的小组 (https://www.brighttalk.com/webcast/16651/499811) 一起提出了以下问题：与高通量实验相关的神话是什么？自动化在化学发展中的作用是什么？