journal article·2022-01Open access

Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning (Adv. Mater. 3/2022)

Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong, Peter G. Steeneken, Miguel A. Bessa, Richard A. Norte

Advanced Materials· Volume 34· Issue 3

Abstract

Nanomechanical Resonators In article number 2106248, Miguel A. Bessa, Richard A. Norte, and co-workers report the design of a nature-inspired spiderweb sensor using artificial intelligence and discover a novel vibration mechanism. The device's world-class performance is verified experimentally, opening avenues toward ultrasensitive detection of fundamental forces and quantum technologies operating at room temperature.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Mechanical and Optical Resonators

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Affiliations

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

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

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

References

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