Zobrazeno 1 - 10
of 85 752
pro vyhledávání: '"liu, Yu"'
Autor:
Barakati, Kamyar, Liu, Yu, Nelson, Chris, Ziatdinov, Maxim A., Zhang, Xiaohang, Takeuchi, Ichiro, Kalinin, Sergei V.
Rapid progress in aberration corrected electron microscopy necessitates development of robust methods for the identification of phases, ferroic variants, and other pertinent aspects of materials structure from imaging data. While unsupervised methods
Externí odkaz:
http://arxiv.org/abs/2411.12612
We investigate the spin-density wave (SDW) behavior and the potential for superconductivity (SC) in La$_4$Ni$_3$O$_{10}$ under ambient pressure using a multi-orbital random-phase approximation (RPA). Starting with a twelve-orbital tight-binding model
Externí odkaz:
http://arxiv.org/abs/2411.12349
Publikováno v:
Pattern Recognition and Computer Vision (2025), Springer Nature Singapore, pages 166-180, ISBN 978-981-97-8508-7
Reconstructing 3D models from single-view images is a long-standing problem in computer vision. The latest advances for single-image 3D reconstruction extract a textual description from the input image and further utilize it to synthesize 3D models.
Externí odkaz:
http://arxiv.org/abs/2411.12197
Autor:
Liu, Yu, Slautin, Boris, Bemis, Jason, Proksch, Roger, Pant, Rohit, Takeuchi, Ichiro, Udovenko, Stanislav, Trolier-McKinstry, Susan, Kalinin, Sergei V.
Dynamic spectroscopies in Scanning Probe Microscopy (SPM) are critical for probing material properties, such as force interactions, mechanical properties, polarization switching, and electrochemical reactions and ionic dynamics. However, the practica
Externí odkaz:
http://arxiv.org/abs/2411.12065
Autor:
Cheng, Fang-Jun, Lou, Cong-Cong, Chen, Ai-Xi, Wei, Li-Xuan, Liu, Yu, Deng, Bo-Yuan, Li, Fangsen, Wang, Ziqiang, Xue, Qi-Kun, Ma, Xu-Cun, Song, Can-Li
Unconventional superconductors that spontaneously break space-group symmetries of their underlying crystal lattice are distinguished by spatial modulations of the superconducting order parameter. These states have recently captured significant attent
Externí odkaz:
http://arxiv.org/abs/2411.11040
Infrared and visible (IR-VIS) image fusion has gained significant attention for its broad application value. However, existing methods often neglect the complementary role of infrared image in restoring visible image features under hazy conditions. T
Externí odkaz:
http://arxiv.org/abs/2411.12586
The primary value of infrared and visible image fusion technology lies in applying the fusion results to downstream tasks. However, existing methods face challenges such as increased training complexity and significantly compromised performance of in
Externí odkaz:
http://arxiv.org/abs/2411.09387
Autor:
Zhao, Cheng, Huang, Song, He, Mengfan, Montero-Camacho, Paulo, Liu, Yu, Renard, Pablo, Tang, Yunyi, Verdier, Aurelien, Xu, Wenshuo, Yang, Xiaorui, Yu, Jiaxi, Zhang, Yao, Zhao, Siyi, Zhou, Xingchen, He, Shengyu, Kneib, Jean-Paul, Li, Jiayi, Li, Zhuoyang, Wang, Wen-Ting, Xianyu, Zhong-Zhi, Zhang, Yidian, Gsponer, Rafaela, Li, Xiao-Dong, Rocher, Antoine, Zou, Siwei, Tan, Ting, Huang, Zhiqi, Wang, Zhuoxiao, Li, Pei, Rombach, Maxime, Dong, Chenxing, Forero-Sanchez, Daniel, Shan, Huanyuan, Wang, Tao, Li, Yin, Zhai, Zhongxu, Wang, Yuting, Zhao, Gong-Bo, Shi, Yong, Mao, Shude, Huang, Lei, Guo, Liquan, Cai, Zheng
The MUltiplexed Survey Telescope (MUST) is a 6.5-meter telescope under development. Dedicated to highly-multiplexed, wide-field spectroscopic surveys, MUST observes over 20,000 targets simultaneously using 6.2-mm pitch positioning robots within a ~5
Externí odkaz:
http://arxiv.org/abs/2411.07970
Kolmogorov-Arnold Networks(KANs), as a theoretically efficient neural network architecture, have garnered attention for their potential in capturing complex patterns. However, their application in computer vision remains relatively unexplored. This s
Externí odkaz:
http://arxiv.org/abs/2411.06727