Zobrazeno 1 - 10
of 1 389
pro vyhledávání: '"Zhang Hongyi"'
Autor:
ZHANG Hongyi, QU Litao
Publikováno v:
发电技术, Vol 44, Iss 1, Pp 78-84 (2023)
Taking a 9F gas turbine waste heat boiler as the research object, the numerical simulation of gas flow field from gas turbine outlet flue to catalyst layer was carried out, the flue gas flow field of single layer catalyst, two-layer catalyst and two-
Externí odkaz:
https://doaj.org/article/aefe0a72a3d64e8da220d87d6b60a222
Publikováno v:
Geombinatorics Quarterly 33 (2024) 97-106
There is a famous problem in geometric graph theory to find the chromatic number of the unit distance graph on Euclidean space; it remains unsolved. A theorem of Erdos and De-Bruijn simplifies this problem to finding the maximum chromatic number of a
Externí odkaz:
http://arxiv.org/abs/2411.05931
Autor:
Zhou, Jie, Li, Ming, Wang, Weiting, Cai, Weizhou, Hua, Ziyue, Xu, Yifang, Pan, Xiaoxuan, Xue, Guangming, Zhang, Hongyi, Song, Yipu, Yu, Haifeng, Zou, Chang-Ling, Sun, Luyan
We propose and experimentally demonstrate a novel protocol for transferring quantum states between superconducting cavities using only continuous two-mode squeezing interactions, without exchange of photonic excitations between cavities. This approac
Externí odkaz:
http://arxiv.org/abs/2408.14076
Autor:
Zhang, Wenna, Hu, Yutao, Zhang, Hongyi, Liu, Xiang, Veronis, Georgios, Shen, Yuecheng, Huang, Yin, Luo, Wenchen, Alu`, Andrea
The skin effect, where bulk modes collapse into boundary modes, is a key phenomenon in topological non-Hermitian systems, has been predominantly studied in spinless systems. Recent studies illustrate the magnetic suppression of the first-order skin e
Externí odkaz:
http://arxiv.org/abs/2408.07406
Autor:
Zhang, Hongyi, Mayol-Cuevas, Walterio
Two crucial performance criteria for the deployment of visual localization are speed and accuracy. Current research on visual localization with neural networks is limited to examining methods for enhancing the accuracy of networks across various data
Externí odkaz:
http://arxiv.org/abs/2407.20749
Large Language Models (LLMs), epitomized by ChatGPT's release in late 2022, have revolutionized various industries with their advanced language comprehension. However, their efficiency is challenged by the Transformer architecture's struggle with han
Externí odkaz:
http://arxiv.org/abs/2407.18003
Autor:
Bao, Zenghui, Li, Yan, Wang, Zhiling, Wang, Jiahui, Yang, Jize, Xiong, Haonan, Song, Yipu, Wu, Yukai, Zhang, Hongyi, Duan, Luming
Publikováno v:
Nat Commun 15, 5958 (2024)
For superconducting quantum processors, microwave signals are delivered to each qubit from room-temperature electronics to the cryogenic environment through coaxial cables. Limited by the heat load of cabling and the massive cost of electronics, such
Externí odkaz:
http://arxiv.org/abs/2407.11775
Commit message is one of the most important textual information in software development and maintenance. However, it is time-consuming to write commit messages manually. Commit Message Generation (CMG) has become a research hotspot. Recently, several
Externí odkaz:
http://arxiv.org/abs/2406.05514
Autor:
Chen, Lei, Gao, Xinghang, Chao, Fei, Chang, Xiang, Lin, Chih Min, Gao, Xingen, Lin, Shaopeng, Zhang, Hongyi, Lin, Juqiang
In the field of crowd counting research, many recent deep learning based methods have demonstrated robust capabilities for accurately estimating crowd sizes. However, the enhancement in their performance often arises from an increase in the complexit
Externí odkaz:
http://arxiv.org/abs/2404.07847
We investigate the Cauchy problem of a new higher-order nonlinear Schr\"{o}dinger equation (NHNSE) with weighted Sobolev initial data which is derived by ourselves. By applying $\bar{\partial}$-steepest descent method, we derive the long-time asympto
Externí odkaz:
http://arxiv.org/abs/2401.06458