Zobrazeno 1 - 10
of 453
pro vyhledávání: '"Wang Sifan"'
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 6, Pp 51-58 (2024)
With the development of miniaturized wearable electronics，flexible energy storage devices with soft，flexible，small size，and high energy density have attracted widespread attention. Aramid nanofibers (ANF) were utilized as fiber reinforcement
Externí odkaz:
https://doaj.org/article/8d482b34a7e9466789d45a07a177aca0
Publikováno v:
Zhejiang dianli, Vol 42, Iss 1, Pp 89-96 (2023)
The knowledge of graph theory， the research method for the Chinese postman problem， and the improved Fleury algorithm are applied with the addition of random selection elements （i.e.， random branch nodes on the main line and endpoints on the
Externí odkaz:
https://doaj.org/article/7fa62fa7a5b749f8b9a21854cfd17fc2
We introduce Disk2Planet, a machine learning-based tool to infer key parameters in disk-planet systems from observed protoplanetary disk structures. Disk2Planet takes as input the disk structures in the form of two-dimensional density and velocity ma
Externí odkaz:
http://arxiv.org/abs/2409.17228
Heterogeneous materials, crucial in various engineering applications, exhibit complex multiscale behavior, which challenges the effectiveness of traditional computational methods. In this work, we introduce the Micromechanics Transformer ({\em Microm
Externí odkaz:
http://arxiv.org/abs/2410.05281
Federated Learning (FL) has emerged as an excellent solution for performing deep learning on different data owners without exchanging raw data. However, statistical heterogeneity in FL presents a key challenge, leading to a phenomenon of skewness in
Externí odkaz:
http://arxiv.org/abs/2408.11278
Autor:
Jin, Hai, Mao, Junjie, Chen, Liubiao, Chen, Naihui, Cui, Wei, Gao, Bo, Li, Jinjin, Li, Xinfeng, Liu, Jiejia, Quan, Jia, Jiang, Chunyang, Wang, Guole, Wang, Le, Wang, Qian, Wang, Sifan, Xiao, Aimin, Zhang, Shuo
DIffuse X-ray Explorer (DIXE) is a proposed high-resolution X-ray spectroscopic sky surveyor on the China Space Station (CSS). DIXE will focus on studying hot baryons in the Milky Way. Galactic hot baryons like the X-ray emitting Milky Way halo and e
Externí odkaz:
http://arxiv.org/abs/2406.09813
Autor:
Wang, Sifan, Seidman, Jacob H, Sankaran, Shyam, Wang, Hanwen, Pappas, George J., Perdikaris, Paris
Operator learning, which aims to approximate maps between infinite-dimensional function spaces, is an important area in scientific machine learning with applications across various physical domains. Here we introduce the Continuous Vision Transformer
Externí odkaz:
http://arxiv.org/abs/2405.13998
Diffuse X-ray Explorer (DIXE) is a proposed X-ray spectroscopic survey experiment for the China Space Station. Its detector assembly (DA) contains the transition edge sensor (TES) microcalorimeter and readout electronics based on the superconducting
Externí odkaz:
http://arxiv.org/abs/2405.07559
While physics-informed neural networks (PINNs) have become a popular deep learning framework for tackling forward and inverse problems governed by partial differential equations (PDEs), their performance is known to degrade when larger and deeper neu
Externí odkaz:
http://arxiv.org/abs/2402.00326
Recently deep learning surrogates and neural operators have shown promise in solving partial differential equations (PDEs). However, they often require a large amount of training data and are limited to bounded domains. In this work, we present a nov
Externí odkaz:
http://arxiv.org/abs/2308.12939