Compare Papers
Paper 1
Network separation modeling and quantum computing for developing wildfire fuelbreak strategy.
Dent S, Stoddard K, Smith M, Strelzoff A, Cummings C, Cegan J, Linkov I.
- Year
- 2026
- Journal
- Commun Eng
- DOI
- 10.1038/s44172-026-00585-9
- arXiv
- -
No abstract.
Open paperPaper 2
Centimeter-scale nanomechanical resonators with low dissipation
Andrea Cupertino, Dongil Shin, Leo Guo, Peter G. Steeneken, Miguel A. Bessa, Richard A. Norte
- Year
- 2023
- Journal
- arXiv preprint
- DOI
- arXiv:2308.00611
- arXiv
- 2308.00611
High-aspect-ratio mechanical resonators are pivotal in precision sensing, from macroscopic gravitational wave detectors to nanoscale acoustics. However, fabrication challenges and high computational costs have limited the length-to-thickness ratio of these devices, leaving a largely unexplored regime in nano-engineering. We present nanomechanical resonators that extend centimeters in length yet retain nanometer thickness. We explore this expanded design space using an optimization approach which judiciously employs fast millimeter-scale simulations to steer the more computationally intensive centimeter-scale design optimization. By employing delicate nanofabrication techniques, our approach ensures high-yield realization, experimentally confirming room-temperature quality factors close to theoretical predictions. The synergy between nanofabrication, design optimization guided by machine learning, and precision engineering opens a solid-state path to room-temperature quality factors approaching 10 billion at kilohertz mechanical frequencies -- comparable to the performance of leading cryogenic resonators and levitated nanospheres, even under significantly less stringent temperature and vacuum conditions.
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