Zobrazeno 1 - 10
of 10 651
pro vyhledávání: '"WANG, PENGFEI"'
Autor:
Xie, Bijun, Chen, Hangman, Wang, Pengfei, Zhang, Cheng, Xing, Bin, Xu, Mingjie, Wang, Xin, Valdevit, Lorenzo, Rimoli, Julian, Pan, Xiaoqing, Cao, Penghui
Metallic materials under high stress often exhibit deformation localization, manifesting as slip banding. Over seven decades ago, Frank and Read introduced the well-known model of dislocation multiplication at a source, explaining slip band formation
Externí odkaz:
http://arxiv.org/abs/2410.17582
The challenge of location testing for high-dimensional data in statistical inference is notable. Existing literature suggests various methods, many of which impose strong regularity conditions on underlying covariance matrices to ensure asymptotic no
Externí odkaz:
http://arxiv.org/abs/2410.16702
The formation and decomposition of methane hydrates, particularly in porous media such as subsea sediments, have attracted significant research interest due to their implications for energy production, storage, and safety in deep-sea environments. Th
Externí odkaz:
http://arxiv.org/abs/2409.19760
Autor:
Wang, Pengfei, Zheng, Huanran, Dai, Silong, Wang, Yiqiao, Gu, Xiaotian, Wu, Yuanbin, Wang, Xiaoling
In recent years, the field of electroencephalography (EEG) analysis has witnessed remarkable advancements, driven by the integration of machine learning and artificial intelligence. This survey aims to encapsulate the latest developments, focusing on
Externí odkaz:
http://arxiv.org/abs/2410.08224
Autor:
Wang, Pengfei, Song, Jiantao, Xin, Shiqing, Chen, Shuangmin, Tu, Changhe, Wang, Wenping, Wang, Jiaye
Given a collection of points in R^3, KD-Tree and R-Tree are well-known nearest neighbor search (NNS) algorithms that rely on space partitioning and spatial indexing techniques. However, when the query point is far from the data points or the data poi
Externí odkaz:
http://arxiv.org/abs/2409.15023
In recent years, large language models (LLMs) have shown great potential in time-series analysis by capturing complex dependencies and improving predictive performance. However, existing approaches often struggle with modality alignment, leading to s
Externí odkaz:
http://arxiv.org/abs/2409.14978
Autor:
Ding, Zhe, Chen, Zhousheng, Fan, Xiaodong, Zhang, Weihui, Fu, Jun, Sun, Yumeng, Cheng, Zhi, Yu, Zhiwei, Yang, Kai, Li, Yuxin, Liu, Xing, Wang, Pengfei, Wang, Ya, Jiang, Jianhua, Zeng, Hualing, Zeng, Changgan, Shi, Guosheng, Shi, Fazhan, Du, Jiangfeng
The one-dimensional side gate based on graphene edges shows a significant capability of reducing the channel length of field-effect transistors, further increasing the integration density of semiconductor devices. The nano-scale electric field distri
Externí odkaz:
http://arxiv.org/abs/2409.14942
Autor:
Zhang, Jialiang, Wang, Pengfei, Chen, Wentao, Cai, Zhengyang, Qiao, Mu, Li, Riling, Huang, Yingye, Tian, Haonan, Tu, Henchao, Cui, Kaifeng, Yan, Leilei, Zhang, Junhua, Zhang, Jingning, Yung, Manhong, Kim, Kihwan
Information engines produce mechanical work through measurement and adaptive control. For information engines, the principal challenge lies in how to store the generated work for subsequent utilization. Here, we report an experimental demonstration w
Externí odkaz:
http://arxiv.org/abs/2408.14373
The scarcity of large-scale 3D-text paired data poses a great challenge on open vocabulary 3D scene understanding, and hence it is popular to leverage internet-scale 2D data and transfer their open vocabulary capabilities to 3D models through knowled
Externí odkaz:
http://arxiv.org/abs/2407.13362
Autor:
Li, Yuxin, Ding, Zhe, Wang, Chen, Sun, Haoyu, Chen, Zhousheng, Wang, Pengfei, Wang, Ya, Gong, Ming, Zeng, Hualing, Shi, Fazhan, Du, Jiangfeng
Critical fluctuations play a fundamental role in determining the spin orders for low-dimensional quantum materials, especially for recently discovered two-dimensional (2D) magnets. Here we employ the quantum decoherence imaging technique utilizing ni
Externí odkaz:
http://arxiv.org/abs/2407.00647