Zobrazeno 1 - 10
of 519
pro vyhledávání: '"ZHANG Zhaoyu"'
Publikováno v:
电力工程技术, Vol 43, Iss 1, Pp 220-228 (2024)
The disconnector fault in gas insulated switchgear (GIS) is commonly caused by the combined effects of mechanical, thermal, and electrical factors. Throughout the progression from defect development to a severe fault, various signals, including abnor
Externí odkaz:
https://doaj.org/article/debf4f75a0f7433a9143f6f39d11568d
Autor:
Li Renjie, Zhang Ceyao, Xie Wentao, Gong Yuanhao, Ding Feilong, Dai Hui, Chen Zihan, Yin Feng, Zhang Zhaoyu
Publikováno v:
Nanophotonics, Vol 12, Iss 2, Pp 319-334 (2023)
Photonics inverse design relies on human experts to search for a design topology that satisfies certain optical specifications with their experience and intuitions, which is relatively labor-intensive, slow, and sub-optimal. Machine learning has emer
Externí odkaz:
https://doaj.org/article/85a90c81f6474747af2673bf2a1d29fe
Publikováno v:
Nanophotonics, Vol 9, Iss 9, Pp 2997-3002 (2020)
Microdisk lasers are important components in photonic integrated circuits (PICs), of which the whispering gallery modes (WGMs) are usually confined within a two-dimensional (2D) planar slab. Here, owing to the strain relaxation of quantum wells by we
Externí odkaz:
https://doaj.org/article/6b8008e4beab47c799ce73aa8973078b
Publikováno v:
Open Life Sciences, Vol 14, Iss 1, Pp 688-698 (2019)
To explore the potential role of GSG2 in breast cancer progression.
Externí odkaz:
https://doaj.org/article/b50e8883a4584056a080840328332e16
Photonic Crystal Surface Emitting Lasers (PCSEL)'s inverse design demands expert knowledge in physics, materials science, and quantum mechanics which is prohibitively labor-intensive. Advanced AI technologies, especially reinforcement learning (RL),
Externí odkaz:
http://arxiv.org/abs/2403.05149
Publikováno v:
2023 International Conference on Computer Vision (ICCV) 13541-13551
Frame quality deterioration is one of the main challenges in the field of video understanding. To compensate for the information loss caused by deteriorated frames, recent approaches exploit transformer-based integration modules to obtain spatio-temp
Externí odkaz:
http://arxiv.org/abs/2402.02574
Autor:
Li, Anni, Krishnamohan, Venkat, Kansal, Raghav, Sen, Rounak, Tsan, Steven, Zhang, Zhaoyu, Duarte, Javier
In high energy physics (HEP), machine learning methods have emerged as an effective way to accurately simulate particle collisions at the Large Hadron Collider (LHC). The message-passing generative adversarial network (MPGAN) was the first model to s
Externí odkaz:
http://arxiv.org/abs/2312.04757
Publikováno v:
LAdv. Mater. n/a, 2312825 (2024)
In the dynamic landscape of Artificial Intelligence (AI), two notable phenomena are becoming predominant: the exponential growth of large AI model sizes and the explosion of massive amount of data. Meanwhile, scientific research such as quantum compu
Externí odkaz:
http://arxiv.org/abs/2311.09767
Publikováno v:
SIAM Journal on Financial Mathematics. 2024
In this work, we study the deep signature algorithms for path-dependent options. We extend the backward scheme in [Hur\'e-Pham-Warin. Mathematics of Computation 89, no. 324 (2020)] for state-dependent FBSDEs with reflections to path-dependent FBSDEs
Externí odkaz:
http://arxiv.org/abs/2211.11691
We solve a fundamental challenge in semiconductor IC design: the fast and accurate characterization of nanoscale photonic devices. Much like the fusion between AI and EDA, many efforts have been made to apply DNNs such as convolutional neural network
Externí odkaz:
http://arxiv.org/abs/2205.09045