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Rotating RHEED data

AtomCloud is built to handle rotating RHEED data, simplifying in-situ characterization for commercial-scale MBE

AtomCloud deconvolves intensity and angular oscillation in rotating RHEED data to extract significant structural information.
t = 5s   
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t = 10s 
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t = 15s 
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Multi-component processing allows AtomCloud to generate all the same insights from stationary and rotating RHEED data
Time-averaging over the rotational period allows clustering while still using metrics from the original data.
Input to feature and metric extraction.
Choose high-symmetry representative snapshots within a cluster for pattern statistics.
Filter over the longest period detected, corresponding to the lowest-symmetry structure in the data.
Input to clustering - smooths over changes due to rotation only.
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 Original rotating frame
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 Time-averaged frame

Case Studies - Previous

MBE case studies

Detecting kinetic transition

Last modified 2mo ago