Search Results for author: Matthijs H. J. de Jong

Found 2 papers, 0 papers with code

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

no code implementations10 Aug 2021 Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong, Peter G. Steeneken, Miguel A. Bessa, Richard A. Norte

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

Bayesian Optimization BIG-bench Machine Learning

Coherent mechanical noise cancellation and cooperativity competition in optomechanical arrays

no code implementations21 Dec 2020 Matthijs H. J. de Jong, Jie Li, Claus Gärtner, Richard A. Norte, Simon Gröblacher

Studying the interplay between multiple coupled mechanical resonators is a promising new direction in the field of optomechanics.

Optics Mesoscale and Nanoscale Physics

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