Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning-Reference-Cited by-同舟云学术

Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning

Published:2021-11-24 Issue:3 Volume:34 Page:2106248
ISSN:0935-9648
Container-title:Advanced Materials
language:en
Short-container-title:Advanced Materials

Author:

Shin Dongil¹²^ORCID,Cupertino Andrea²^ORCID,de Jong Matthijs H. J.²³^ORCID,Steeneken Peter G.²³^ORCID,Bessa Miguel A.¹^ORCID,Norte Richard A.²³^ORCID

Affiliation:

1. Faculty of Mechanical Maritime and Materials Engineering Department of Materials Science and Engineering Delft University of Technology Delft 2628 CD The Netherlands

2. Faculty of Mechanical Maritime and Materials Engineering Department of Precision and Microsystems Engineering Delft University of Technology Delft 2628 CD The Netherlands

3. Faculty of Applied Sciences Department of Quantum Nanoscience Kavli Institute of Nanoscience Delft University of Technology Delft 2628 CD The Netherlands

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.202106248

Reference81 articles.

1. Quantum Theory of Cavity-Assisted Sideband Cooling of Mechanical Motion

2. Membrane-Based Scanning Force Microscopy

3. Applications of cavity optomechanics

4. Gravitational wave detectors with broadband high frequency sensitivity

5. Proposal for an optomechanical traveling wave phonon–photon translator

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