Ultrahigh-Q Torsional Nanomechanics through Bayesian Optimization
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866915320356143104 |
|---|---|
| author | Hyatt, Atkin D. Agrawal, Aman R. Pluchar, Christian M. Condos, Charles A. Wilson, Dalziel J. |
| author_facet | Hyatt, Atkin D. Agrawal, Aman R. Pluchar, Christian M. Condos, Charles A. Wilson, Dalziel J. |
| contents | Recently it was discovered that torsion modes of strained nanoribbons exhibit dissipation dilution, giving a route to enhanced torque sensing and quantum optomechanics experiments. As with all strained nanomechanical resonators, an important limitation is bending loss due to mode curvature at the clamps. Here we use Bayesian optimization to design nanoribbons with optimal dissipation dilution of the fundamental torsion mode. Applied to centimeter-scale Si$_3$N$_4$ nanoribbons, we realize $Q$ factors exceeding 100 million and $Q$-frequency products exceeding $10^{13}$ Hz at room temperature. The thermal torque sensitivity of the reported devices is at the level of $10^{-20}\;\text{N}\,\text{m}/\sqrt{\text{Hz}}$ and the zero point angular displacement spectral density is at the level of $10^{-10}\;\text{rad}/\sqrt{\text{Hz}}$; they are moreover simple to fabricate, have high thermal conductivity, and can be heavily mass-loaded without diminishing their $Q$, making them attractive for diverse fundamental and applied weak force sensing tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_02325 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Ultrahigh-Q Torsional Nanomechanics through Bayesian Optimization Hyatt, Atkin D. Agrawal, Aman R. Pluchar, Christian M. Condos, Charles A. Wilson, Dalziel J. Mesoscale and Nanoscale Physics Applied Physics Recently it was discovered that torsion modes of strained nanoribbons exhibit dissipation dilution, giving a route to enhanced torque sensing and quantum optomechanics experiments. As with all strained nanomechanical resonators, an important limitation is bending loss due to mode curvature at the clamps. Here we use Bayesian optimization to design nanoribbons with optimal dissipation dilution of the fundamental torsion mode. Applied to centimeter-scale Si$_3$N$_4$ nanoribbons, we realize $Q$ factors exceeding 100 million and $Q$-frequency products exceeding $10^{13}$ Hz at room temperature. The thermal torque sensitivity of the reported devices is at the level of $10^{-20}\;\text{N}\,\text{m}/\sqrt{\text{Hz}}$ and the zero point angular displacement spectral density is at the level of $10^{-10}\;\text{rad}/\sqrt{\text{Hz}}$; they are moreover simple to fabricate, have high thermal conductivity, and can be heavily mass-loaded without diminishing their $Q$, making them attractive for diverse fundamental and applied weak force sensing tasks. |
| title | Ultrahigh-Q Torsional Nanomechanics through Bayesian Optimization |
| topic | Mesoscale and Nanoscale Physics Applied Physics |
| url | https://arxiv.org/abs/2506.02325 |