Zobrazeno 1 - 10
of 854
pro vyhledávání: '"WU Jiahao"'
Publikováno v:
Zhejiang dianli, Vol 43, Iss 10, Pp 1-11 (2024)
With the continuous increase in the installed capacity of gas turbine units， the coupling between electric grids and gas networks has become increasingly tight， forming an integrated electricity-gas system （IEGS）. As the proportion of renewab
Externí odkaz:
https://doaj.org/article/be4b211e9ec746dab2c181cfba029aa4
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 11, Pp 1411-1414 (2023)
Alveolar proteinosis is a rare clinical disease that is easily misdiagnosed due to lack of specific symptoms. There is still no unified protocol for standard treatment of this disease. In this paper, we reported the diagnosis and treatment of one cas
Externí odkaz:
https://doaj.org/article/dd2ef447bd414f84804a970954dbb48c
Autor:
Wyder, Philippe Martin, Bakhda, Riyaan, Zhao, Meiqi, Booth, Quinn A., Modi, Matthew E., Song, Andrew, Kang, Simon, Wu, Jiahao, Patel, Priya, Kasumi, Robert T., Yi, David, Garg, Nihar Niraj, Jhunjhunwala, Pranav, Bhutoria, Siddharth, Tong, Evan H., Hu, Yuhang, Goldfeder, Judah, Mustel, Omer, Kim, Donghan, Lipson, Hod
Biological lifeforms can heal, grow, adapt, and reproduce -- abilities essential for sustained survival and development. In contrast, robots today are primarily monolithic machines with limited ability to self-repair, physically develop, or incorpora
Externí odkaz:
http://arxiv.org/abs/2411.11192
Prediction of Kelvin-Helmholtz instability (KHI) is crucial across various fields, requiring extensive high-fidelity data. However, experimental data are often sparse and noisy, while simulated data may lack credibility due to discrepancies with real
Externí odkaz:
http://arxiv.org/abs/2411.07524
Autor:
Holman, Aaron, Xu, Yuan, Sun, Ximo, Wu, Jiahao, Wang, Mingxuan, Seo, Bojeong, Yu, Nanfang, Will, Sebastian
Optical tweezer arrays have emerged as a key experimental platform for quantum computation, quantum simulation, and quantum metrology, enabling unprecedented levels of control over single atoms and molecules. Existing methods to generate tweezer arra
Externí odkaz:
http://arxiv.org/abs/2411.05321
For a system of $N$ Fermions of spin $1/2$, with its interaction potential of scattering length $a$, the classical Huang-Yang formula states that the energy density $e(\rho)$ is of the form \begin{equation*} e(\rho)=\frac{3}{5}(3\pi^2)^{\frac{2}{3}}\
Externí odkaz:
http://arxiv.org/abs/2410.16620
Recent years have witnessed substantial advancements in the field of 3D reconstruction from 2D images, particularly following the introduction of the neural radiance field (NeRF) technique. However, reconstructing a 3D high dynamic range (HDR) radian
Externí odkaz:
http://arxiv.org/abs/2408.06543
Autor:
Lin, Haojian, Wang, Ximiao, Cao, Zhaolong, Zhu, Hongjia, Wu, Jiahao, Zhan, Runze, Xu, Ningsheng, Deng, Shaozhi, Chen, Huanjun, Liu, Fei
Materials with electromagnetic interference (EMI) shielding in the terahertz (THz) regime, while minimizing the quantity used, are highly demanded for future information communication, healthcare and mineral resource exploration applications. Current
Externí odkaz:
http://arxiv.org/abs/2407.15133
Autor:
Yang, Yanting, Chen, Minghao, Qiu, Qibo, Wu, Jiahao, Wang, Wenxiao, Lin, Binbin, Guan, Ziyu, He, Xiaofei
For a general-purpose robot to operate in reality, executing a broad range of instructions across various environments is imperative. Central to the reinforcement learning and planning for such robotic agents is a generalizable reward function. Recen
Externí odkaz:
http://arxiv.org/abs/2407.14872
Recently, graph condensation has emerged as a prevalent technique to improve the training efficiency for graph neural networks (GNNs). It condenses a large graph into a small one such that a GNN trained on this small synthetic graph can achieve compa
Externí odkaz:
http://arxiv.org/abs/2407.11025