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Pursuing ground state of on-chip optomechanical resonators at room-temperature enabled by machine learning

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Pursuing ground state of on-chip optomechanical resonators at room-temperature enabled by machine learning

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Christer Everly

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Pursuing ground state of on-chip optomechanical resonators at room-temperature enabled by machine learning

This material is based upon work supported by the National Science Foundation under Grant No. NNCI-2025233. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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