Automated Experimentation

\(_{Yongtao}\) \(_{Liu,}\) \(_{liuy3@ornl.gov,}\) \(_{youngtaoliu@gmail.com}\)

\(_{July}\) \(_{2026}\)

Automated experiments perform tasks with minimal or no human intervention to improve efficiency and precision. A key example is high-throughput experimentation, which automates and accelerates data acquisition and analysis, allowing researchers to rapidly gather substantial data and gain valuable insights into materials properties. In high-throughput microscopy experiments, data can be efficiently collected from multiple sample sites in a systematic, sequential manner. This minimizes human intervention, reduces the risk of human error, and improves reproducibility and efficiency.

In this chapter, we introduce workflows constructed with AEcroscopy for automated microscopy experiments.