Zobrazeno 1 - 10
of 3 201
pro vyhledávání: '"Willie, J"'
Autor:
Xu, Yucheng, Yang, Jia-Qi, Fan, Kebin, Wang, Sheng, Wu, Jingbo, Zhang, Caihong, Zhan, De-Chuan, Padilla, Willie J., Jin, Biaobing, Chen, Jian, Wu, Peiheng
Emerging reconfigurable metasurfaces offer various possibilities in programmatically manipulating electromagnetic waves across spatial, spectral, and temporal domains, showcasing great potential for enhancing terahertz applications. However, they are
Externí odkaz:
http://arxiv.org/abs/2405.16795
Large language models (LLMs) such as ChatGPT, Gemini, LlaMa, and Claude are trained on massive quantities of text parsed from the internet and have shown a remarkable ability to respond to complex prompts in a manner often indistinguishable from huma
Externí odkaz:
http://arxiv.org/abs/2404.15458
Past work has considered the analytic properties of the reflection coefficient for a metal-backed slab. The primary result established a fundamental relationship for the minimal layer thickness to bandwidth ratio achievable for an absorber. There has
Externí odkaz:
http://arxiv.org/abs/2308.14839
Autor:
Ma, Hao, Evlyukhin, Andrey B., Miroshnichenko, Andrey E., Zhu, Fengjie, Duan, Siyu, Wu, Jingbo, Zhang, Caihong, Chen, Jian, Jin, Biao-Bing, Padilla, Willie J., Fan, Kebin
Symmetry breaking plays a crucial role in understanding the fundamental physics underlying numerous physical phenomena, including the electromagnetic response in resonators, giving rise to intriguing effects such as directional light scattering, supe
Externí odkaz:
http://arxiv.org/abs/2308.07139
In this study, we address the challenge of obtaining a Green's function operator for linear partial differential equations (PDEs). The Green's function is well-sought after due to its ability to directly map inputs to solutions, bypassing the need fo
Externí odkaz:
http://arxiv.org/abs/2306.02925
Autor:
Li, Wenhao, Sedeh, Hooman Barati, Padilla, Willie J., Ren, Simiao, Malof, Jordan, Litchinitser, Natalia M.
Electromagnetic multipole expansion theory underpins nanoscale light-matter interactions, particularly within subwavelength meta-atoms, paving the way for diverse and captivating optical phenomena. While conventionally brute force optimization method
Externí odkaz:
http://arxiv.org/abs/2305.18589
Deep active learning (DAL) methods have shown significant improvements in sample efficiency compared to simple random sampling. While these studies are valuable, they nearly always assume that optimal DAL hyperparameter (HP) settings are known in adv
Externí odkaz:
http://arxiv.org/abs/2302.00098