Incorporation of Artificial Intelligence in Optical Alignments for Experimental Quantum Material Research
POSTER
Abstract
In the rise of artificial intelligence, there have been questions about how to practically
incorporate its use in experimental physics. The Zhao Research Group at the University of
Michigan studies electronic and magnetic phases in both 2-dimensional and 3-dimensional
quantum materials, using optical spectroscopy. In this research, precise and time-intensive
optical alignments must be performed manually. Because of factors such as room temperature
fluctuations and mechanical drift of optical components, frequent realignments are required
to maintain optimal alignment during experiments. However, these realignments often
interrupt long-duration measurements. In this poster, I will present our efforts to integrate and
test artificial intelligence tools to assist with optical alignment.
incorporate its use in experimental physics. The Zhao Research Group at the University of
Michigan studies electronic and magnetic phases in both 2-dimensional and 3-dimensional
quantum materials, using optical spectroscopy. In this research, precise and time-intensive
optical alignments must be performed manually. Because of factors such as room temperature
fluctuations and mechanical drift of optical components, frequent realignments are required
to maintain optimal alignment during experiments. However, these realignments often
interrupt long-duration measurements. In this poster, I will present our efforts to integrate and
test artificial intelligence tools to assist with optical alignment.
Presenters
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Zoe N Hakim
- University of Michigan