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pro vyhledávání: '"Bennett James P"'
Whispering gallery mode (WGM) optomechanical resonators are a promising technology for the simultaneous control and measurement of optical and mechanical degrees of freedom at the nanoscale. They offer potential for use across a wide range of applica
Externí odkaz:
http://arxiv.org/abs/2408.00219
Autor:
Verhulst, Isabelle, Hemming, Rich, Ganz, Adam, Bennett, James, Donnelly, Rachel, Watling, Dawn, Dalton, Polly
This study examined which variables predicted the sense of presence (being there) in an immersive audio experience, with a focus on the impacts of immersion technology (headphones with spatialised sound versus speaker with 2D stereo sound), the natur
Externí odkaz:
http://arxiv.org/abs/2406.05856
Autor:
Greenall, Hamish, Carey, Benjamin J., Bulla, Douglas, Bennett, James S., Harris, Glen I., Gotardo, Fernando, Foster, Scott, Bowen, Warwick P.
A DC non-contact method for measuring the magnetostrictive strain in thin-films is demonstrated, achieving a state-of-the-art sensitivity of 0.1 ppm. In this method, an optical profilometer is used to measure the curvature induced in a magnetostricti
Externí odkaz:
http://arxiv.org/abs/2311.12378
Autor:
Gotardo, Fernando, Carey, Benjamin J., Greenall, Hamish, Harris, Glen I., Romero, Erick, Bulla, Douglas, Bridge, Elizabeth M., Bennett, James S., Foster, Scott, Bowen, Warwick P.
Optomechanical magnetometers enable highly sensitive magnetic field sensing. However, all such magnetometers to date have been optically excited and read-out either via free space or a tapered optical fiber. This limits their scalability and integrab
Externí odkaz:
http://arxiv.org/abs/2307.15229
Optical-to-mechanical quantum state transfer is an important capability for future quantum networks, quantum communication, and distributed quantum sensing. However, existing continuous state transfer protocols operate in the resolved sideband regime
Externí odkaz:
http://arxiv.org/abs/2301.03855
Autor:
Muller, Emily, Gemmell, Emily, Choudhury, Ishmam, Nathvani, Ricky, Metzler, Antje Barbara, Bennett, James, Denton, Emily, Flaxman, Seth, Ezzati, Majid
The interactions of individuals with city neighbourhoods is determined, in part, by the perceived quality of urban environments. Perceived neighbourhood quality is a core component of urban vitality, influencing social cohesion, sense of community, s
Externí odkaz:
http://arxiv.org/abs/2211.12139
Autor:
Meng, Chao, Brawley, George A., Khademi, Soroush, Bridge, Elizabeth M., Bennett, James S., Bowen, Warwick P.
Nanomechanical resonators are a key tool for future quantum technologies such as quantum force sensors and interfaces, and for studies of macroscopic quantum physics. The ability to prepare room temperature non-classical states is a major outstanding
Externí odkaz:
http://arxiv.org/abs/2109.12796
Autor:
Bennett, James S., Vyhnalek, Brian E., Greenall, Hamish, Bridge, Elizabeth M., Gotardo, Fernando, Forstner, Stefan, Harris, Glen I., Miranda, Félix A., Bowen, Warwick P.
Aerospace technologies are crucial for modern civilization; space-based infrastructure underpins weather forecasting, communications, terrestrial navigation and logistics, planetary observations, solar monitoring, and other indispensable capabilities
Externí odkaz:
http://arxiv.org/abs/2106.15843
Autor:
Li, Mengzhou, Fang, Zheng, Cong, Wenxiang, Niu, Chuang, Wu, Weiwen, Uher, Josef, Bennett, James, Rubinstein, Jay T., Wang, Ge
While micro-CT systems are instrumental in preclinical research, clinical micro-CT imaging has long been desired with cochlear implantation as a primary example. The structural details of the cochlear implant and the temporal bone require a significa
Externí odkaz:
http://arxiv.org/abs/2011.08297
Autor:
Allworth, James, Windrim, Lloyd, Wardman, Jeffrey, Kucharski, Daniel, Bennett, James, Bryson, Mitch
Publikováno v:
Proceedings of the 70th International Astronautical Congress, 2019
This paper presents the initial stages in the development of a deep learning classifier for generalised Resident Space Object (RSO) characterisation that combines high-fidelity simulated light curves with transfer learning to improve the performance
Externí odkaz:
http://arxiv.org/abs/2004.12270