Zobrazeno 1 - 10
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pro vyhledávání: '"HUGHES, TYLER"'
We provide an analysis of a convolutional neural network's ability to identify the lensing signal of single dark matter subhalos in strong galaxy-galaxy lenses in the presence of increasingly complex source light morphology. We simulate a balanced da
Externí odkaz:
http://arxiv.org/abs/2403.04349
Autor:
Pai, Sunil, Sun, Zhanghao, Hughes, Tyler W., Park, Taewon, Bartlett, Ben, Williamson, Ian A. D., Minkov, Momchil, Milanizadeh, Maziyar, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Fan, Shanhui, Solgaard, Olav, Miller, David A. B.
Neural networks are widely deployed models across many scientific disciplines and commercial endeavors ranging from edge computing and sensing to large-scale signal processing in data centers. The most efficient and well-entrenched method to train su
Externí odkaz:
http://arxiv.org/abs/2205.08501
Autor:
Yamilov, Alexey, Skipetrov, Sergey E., Hughes, Tyler W., Minkov, Momchil, Yu, Zongfu, Cao, Hui
Publikováno v:
Nature Physics 19, 1308-1313 (2023)
Anderson localization marks a halt of diffusive wave propagation in disordered systems. Despite extensive studies over the past 40 years, Anderson localization of light in three dimensions has remained elusive, leading to the question of its very exi
Externí odkaz:
http://arxiv.org/abs/2203.02842
Autor:
Bennett, Sophie D *, Cross, J Helen, Chowdhury, Kashfia, Ford, Tamsin, Heyman, Isobel, Coughtrey, Anna E, Dalrymple, Emma, Byford, Sarah, Chorpita, Bruce, Fonagy, Peter, Moss-Morris, Rona, Reilly, Colin, Smith, Jonathan A, Stephenson, Terence, Varadkar, Sophia, Blackstone, James, Quartly, Harriet, Hughes, Tyler, Lewins, Amy, Moore, Elana, Walji, Fahreen, Welch, Alice, Whelan, Emily, Zacharia, Alice, D'Oelsnitz, Anaïs, Shah, Mariam, Xu, Laila, Vezyroglou, Aikaterini, Mitchell, Kirsten, Nizza, Isabella E, Ganguli, Poushali, Shafran, Roz
Publikováno v:
In The Lancet 30 March-5 April 2024 403(10433):1254-1266
In this work, we investigate dispersion interactions in a selection of atomic, molecular, and molecule-surface systems, comparing high-level correlated methods with empirically-corrected density functional theory (DFT). We assess the efficacy of func
Externí odkaz:
http://arxiv.org/abs/2007.08895
Autor:
Minkov, Momchil, Williamson, Ian A. D., Andreani, Lucio C., Gerace, Dario, Lou, Beicheng, Song, Alex Y., Hughes, Tyler W., Fan, Shanhui
Publikováno v:
ACS Photonics, 7, 7, 1729-1741 (2020)
Gradient-based inverse design in photonics has already achieved remarkable results in designing small-footprint, high-performance optical devices. The adjoint variable method, which allows for the efficient computation of gradients, has played a majo
Externí odkaz:
http://arxiv.org/abs/2003.00379
Autor:
Zhao, Zhexin, Black, Dylan S., England, R. Joel, Hughes, Tyler W., Miao, Yu, Solgaard, Olav, Byer, Robert L., Fan, Shanhui
To be useful for most scientific and medical applications, compact particle accelerators will require much higher average current than enabled by current architectures. For this purpose, we propose a photonic crystal architecture for a dielectric las
Externí odkaz:
http://arxiv.org/abs/2001.09583
Akademický článek
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Autor:
Pai, Sunil, Williamson, Ian A. D., Hughes, Tyler W., Minkov, Momchil, Solgaard, Olav, Fan, Shanhui, Miller, David A. B.
Reconfigurable photonic mesh networks of tunable beamsplitter nodes can linearly transform $N$-dimensional vectors representing input modal amplitudes of light for applications such as energy-efficient machine learning hardware, quantum information p
Externí odkaz:
http://arxiv.org/abs/1909.06179
Publikováno v:
ACS Photonics, vol. 6, no. 11, pp. 3010-3016, Oct. 2019
We present a previously unexplored forward-mode differentiation method for Maxwell's equations, with applications in the field of sensitivity analysis. This approach yields exact gradients and is similar to the popular adjoint variable method, but pr
Externí odkaz:
http://arxiv.org/abs/1908.10507