Spiderweb Nanomechanical Resonators via Bayesian Optimization

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

Shin, D. (TU Delft Team Georgy Filonenko)
Cupertino, A. (TU Delft Dynamics of Micro and Nano Systems)
de Jong, M.H.J. (TU Delft QN/Groeblacher Lab; TU Delft Dynamics of Micro and Nano Systems)
Steeneken, P.G. (TU Delft Dynamics of Micro and Nano Systems; TU Delft QN/Steeneken Lab)
Bessa, M.A. (TU Delft Team Georgy Filonenko)
Norte, R.A. (TU Delft QN/Groeblacher Lab; TU Delft Dynamics of Micro and Nano Systems)

2021

From ultrasensitive detectors of fundamental forces to quantum networks and sensors, mechanical resonators are enabling next-generation technologies to operate in room-temperature environments. Currently, silicon nitride nanoresonators stand as a leading microchip platform in these advances by allowing for mechanical resonators whose motion is remarkably isolated from ambient thermal noise. However, to date, human intuition has remained the driving force behind design processes. Here, inspired by nature and guided by machine learning, a spiderweb nanomechanical resonator is developed that exhibits vibration modes, which are isolated from ambient thermal environments via a novel “torsional soft-clamping” mechanism discovered by the data-driven optimization algorithm. This bioinspired resonator is then fabricated, experimentally confirming a new paradigm in mechanics with quality factors above 1 billion in room-temperature environments. In contrast to other state-of-the-art resonators, this milestone is achieved with a compact design that does not require sub-micrometer lithographic features or complex phononic bandgaps, making it significantly easier and cheaper to manufacture at large scales. These results demonstrate the ability of machine learning to work in tandem with human intuition to augment creative possibilities and uncover new strategies in computing and nanotechnology.

bioinspiration
data-driven optimization
high quality factor
room-temperature nanoresonators
torsional soft clamping

http://resolver.tudelft.nl/uuid:964391de-c6cf-4c86-8726-7f0e4a03dc85

https://doi.org/10.1002/adma.202106248

0935-9648

Advanced Materials, 34 (3)

Institutional Repository

journal article

© 2021 D. Shin, A. Cupertino, M.H.J. de Jong, P.G. Steeneken, M.A. Bessa, R.A. Norte