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Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy
[article]
2021
arXiv
pre-print
Machine learning and artificial intelligence (ML/AI) are rapidly becoming an indispensable part of physics research, with domain applications ranging from theory and materials prediction to high-throughput data analysis. In parallel, the recent successes in applying ML/AI methods for autonomous systems from robotics through self-driving cars to organic and inorganic synthesis are generating enthusiasm for the potential of these techniques to enable automated and autonomous experiment (AE) in
arXiv:2103.12165v1
fatcat:z3uh2jxrgfbf7d4kol6ed6bcra