Progress and Prospect of AI in ARPES Workflow
This review introduces ML methods that are most relevant to experimentalists working in condensed matter physics and materials science and follows the ARPES workflow, reviewing existing ML applications at each step and discussing their advantages, limitations, and potential for future development.
S. Ekahana, Aalok Tiwari, Pratik Saud et al.
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