Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Li, P. H. Y."'
Autor:
Gray, Robert M., Sekine, Ryoto, Ledezma, Luis, Li, Gordon H. Y., Zhou, Selina, Roy, Arkadev, Parto, Midya, Marandi, Alireza
Arrays of nonlinear resonators offer a fertile ground for a wide range of complex phenomena and opportunities for advanced photonic sensing and computing. Recently, significant attention has focused on studying coupled resonators in special-purpose c
Externí odkaz:
http://arxiv.org/abs/2405.17355
Autor:
Li, Gordon H. Y., Leefmans, Christian R., Williams, James, Gray, Robert M., Parto, Midya, Marandi, Alireza
Rapid advancements in deep learning over the past decade have fueled an insatiable demand for efficient and scalable hardware. Photonics offers a promising solution by leveraging the unique properties of light. However, conventional neural network ar
Externí odkaz:
http://arxiv.org/abs/2309.13186
Cellular automata are a class of computational models based on simple rules and algorithms that can simulate a wide range of complex phenomena. However, when using conventional computers, these 'simple' rules are only encapsulated at the level of sof
Externí odkaz:
http://arxiv.org/abs/2211.01811
Autor:
Leefmans, Christian, Parto, Midya, Williams, James, Li, Gordon H. Y., Dutt, Avik, Nori, Franco, Marandi, Alireza
Mode-locked lasers play a key role in modern science and technology. Not only do they lay the foundation for ultrafast optics and play a central role in nonlinear optics, but also they have important applications in imaging, telecommunications, sensi
Externí odkaz:
http://arxiv.org/abs/2209.00762
Autor:
Li, Gordon H. Y., Sekine, Ryoto, Nehra, Rajveer, Gray, Robert M., Ledezma, Luis, Guo, Qiushi, Marandi, Alireza
In recent years, the computational demands of deep learning applications have necessitated the introduction of energy-efficient hardware accelerators. Optical neural networks are a promising option; however, thus far they have been largely limited by
Externí odkaz:
http://arxiv.org/abs/2201.03787
Autor:
Li, P. H. Y., Bishop, R. F.
Publikováno v:
J. Magn. Magn. Mater. 555 (2022), 169307 (11pp)
The zero-temperature phase diagram of the frustrated spin-$\frac{1}{2}$ $J_{1}$--$J_{2}$--$J_{1}^{\perp}$ Heisenberg magnet on an $AA$-stacked honeycomb bilayer lattice is studied using the coupled cluster method implemented to very high orders. On e
Externí odkaz:
http://arxiv.org/abs/2109.14390
Publikováno v:
Opt. Lett. 45, 6514-6517 (2020)
Bulk materials possessing a relative electric permittivity $\varepsilon$ close to zero exhibit giant Kerr nonlinearities. However, harnessing this response in guided-wave geometries is not straightforward, due to the extreme and counter-intuitive pro
Externí odkaz:
http://arxiv.org/abs/2009.03544
Akademický článek
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Publikováno v:
Phys. Rev. B 100 (2019), 024401
The zero-temperature phase diagram of the spin-$\frac{1}{2}$ $J_{1}$--$J_{2}$--$J_{1}^{\perp}$ model on an $AA$-stacked square-lattice bilayer is studied using the coupled cluster method implemented to very high orders. Both nearest-neighbor (NN) and
Externí odkaz:
http://arxiv.org/abs/1905.03562
Publikováno v:
Phys. Rev. B 98 (2018), 224402
The interplay between lattice topology, frustration, and spin quantum number, $s$, is explored for the Heisenberg antiferromagnet (HAFM) on the eleven two-dimensional Archimedean lattices (square, honeycomb, CaVO, SHD, SrCuBO, triangle, bounce, trell
Externí odkaz:
http://arxiv.org/abs/1811.04229