131 results on '"Norte, Richard"'
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2. Finite Element-based Nonlinear Dynamic Optimization of Nanomechanical Resonators
3. Negative Temperature Pressure in Black Holes
4. Centimeter-scale nanomechanical resonators with low dissipation
5. High-Strength Amorphous Silicon Carbide for Nanomechanics
6. Centimeter-scale nanomechanical resonators with low dissipation
7. Strain engineering of nonlinear nanoresonators from hardening to softening
8. A Fiber-coupled Scanning Magnetometer with Nitrogen-Vacancy Spins in a Diamond Nanobeam
9. Beating ringdowns of near-degenerate mechanical resonances
10. Mechanical overtone frequency combs
11. Mechanical dissipation by substrate-mode coupling in SiN resonators
12. Resolution Limits of Resonant Sensors with Duffing Non-Linearity
13. Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning
14. Mechanical overtone frequency combs
15. An interface-enriched generalized finite element method for the analysis and topology optimization of 2-D electromagnetic problems
16. Coherent mechanical noise cancellation and cooperativity competition in optomechanical arrays
17. Quantum Weak Equivalence Principle and the Gravitational Casimir Effect in Superconductors
18. Feedback cooling of a room temperature mechanical oscillator close to its motional groundstate
19. Microwave-to-optics conversion using a mechanical oscillator in its quantum groundstate
20. An Information Theoretic Approach to the Weak Equivalence Principle
21. Integrated optomechanical arrays of two high reflectivity SiN membranes
22. Platform for measurements of the Casimir force between two superconductors
23. Near-field coupling of a levitated nanoparticle to a photonic crystal cavity
24. Nanofabricated tips for device-based scanning tunneling microscopy
25. Centimeter-scale suspended photonic crystal mirrors
26. Hanbury Brown and Twiss interferometry of single phonons from an optomechanical resonator
27. Integrated optical force sensors using focusing photonic crystal arrays
28. High‐Strength Amorphous Silicon Carbide for Nanomechanics (Adv. Mater. 5/2024)
29. Negative-temperature pressure in black holes
30. Non-classical correlations between single photons and phonons from a mechanical oscillator
31. Quantum Electromechanics on Silicon Nitride Nanomembranes
32. Mechanical Resonators for Quantum Optomechanics Experiments at Room Temperature
33. Strain Engineering of Nonlinear Nanoresonators from Hardening to Softening
34. High‐Strength Amorphous Silicon Carbide for Nanomechanics
35. Nanowire photonic crystal waveguides for single-atom trapping and strong light-matter interactions
36. Microwave-to-optics conversion using a mechanical oscillator in its quantum ground state
37. Gravitational-wave signatures of the absence of an event horizon. II. Extreme mass ratio inspirals in the spacetime of a thin-shell gravastar
38. Gravitational wave signatures of the absence of an event horizon. I. Nonradial oscillations of a thin-shell gravastar
39. Beating Ringdowns of Near-Degenerate Mechanical Resonances
40. A Fiber-Coupled Scanning Magnetometer with Nitrogen-Vacancy Spins in a Diamond Nanobeam
41. Resolution Limits of Resonant Sensors
42. Tuning the Q-factor of nanomechanical string resonators by torsion support design
43. Application of adiabaticity map: highly efficient coupling from optical fibers to silicon waveguides by adiabatic mode evolution
44. Mechanical dissipation by substrate–mode coupling in SiN resonators
45. Non-classical correlations between single photons and phonons from a mechanical oscillator
46. Photonic and Optomechanical Thermometry
47. Supplementary document for Coherent mechanical noise cancellation and cooperativity competition in optomechanical arrays - 5606503.pdf
48. Coherent mechanical noise cancellation and cooperativity competition in optomechanical arrays
49. Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning (Adv. Mater. 3/2022)
50. Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning
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