most citedSpiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning

83 citations · 83 across the 1 of their papers we have counts for

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1 paper

cond-mat.mes-hall2021★ 83 cited

Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning

Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong +3

From ultra-sensitive detectors of fundamental forces to quantum networks and sensors, mechanical resonators are enabling next-generation technologies to operate in room temperature…