Zobrazeno 1 - 10
of 381 919
pro vyhledávání: '"Chao, P."'
Autor:
Liu, Chao, Ma, Chao, Chang, Tieyan, Wang, Xiaoli, Fan, Chuanyan, Han, Lu, Li, Feiyu, Wang, Shanpeng, Chen, Yu-Sheng, Zhang, Junjie
Publikováno v:
Crystal Growth & Design (2024)
Quasi-two-dimensional averievites with triangle-kagome-triangle trilayers are of interest due to their rich structural and magnetic transitions and strong spin frustration that are expected to host quantum spin liquid ground state with suitable subst
Externí odkaz:
http://arxiv.org/abs/2411.08596
Autor:
Shen, Chao, Zhan, Wenkang, Pan, Shujie, Hao, Hongyue, Zhuo, Ning, Xin, Kaiyao, Cong, Hui, Xu, Chi, Xu, Bo, Ng, Tien Khee, Chen, Siming, Xue, Chunlai, Liu, Fengqi, Wang, Zhanguo, Zhao, Chao
Traditional methods for optimizing light source emissions rely on a time-consuming trial-and-error approach. While in-situ optimization of light source gain media emission during growth is ideal, it has yet to be realized. In this work, we integrate
Externí odkaz:
http://arxiv.org/abs/2411.00332
Autor:
Lyu, Yanjun, Wu, Zihao, Zhang, Lu, Zhang, Jing, Li, Yiwei, Ruan, Wei, Liu, Zhengliang, Yu, Xiaowei, Cao, Chao, Chen, Tong, Chen, Minheng, Zhuang, Yan, Li, Xiang, Liu, Rongjie, Huang, Chao, Li, Wentao, Liu, Tianming, Zhu, Dajiang
Pre-trained large language models(LLMs) have attracted increasing attention in biomedical domains due to their success in natural language processing. However, the complex traits and heterogeneity of multi-sources genomics data pose significant chall
Externí odkaz:
http://arxiv.org/abs/2409.09825
Autor:
Yang, Chao-Han Huck, Park, Taejin, Gong, Yuan, Li, Yuanchao, Chen, Zhehuai, Lin, Yen-Ting, Chen, Chen, Hu, Yuchen, Dhawan, Kunal, Żelasko, Piotr, Zhang, Chao, Chen, Yun-Nung, Tsao, Yu, Balam, Jagadeesh, Ginsburg, Boris, Siniscalchi, Sabato Marco, Chng, Eng Siong, Bell, Peter, Lai, Catherine, Watanabe, Shinji, Stolcke, Andreas
Given recent advances in generative AI technology, a key question is how large language models (LLMs) can enhance acoustic modeling tasks using text decoding results from a frozen, pretrained automatic speech recognition (ASR) model. To explore new c
Externí odkaz:
http://arxiv.org/abs/2409.09785
Large language models (LLMs) and LLM-based Agents have been applied to fix bugs automatically, demonstrating the capability in addressing software defects by engaging in development environment interaction, iterative validation and code modification.
Externí odkaz:
http://arxiv.org/abs/2411.10213
Over the last decade, external seeded free electron lasers (FELs) have achieved significant advancements across various disciplines, progressively establishing themselves as indispensable tools in fields ranging from fundamental science to industrial
Externí odkaz:
http://arxiv.org/abs/2411.10054
Differentiable rendering methods have emerged as a promising means for generating photo-realistic and physically plausible adversarial attacks by manipulating 3D objects and scenes that can deceive deep neural networks (DNNs). Recently, differentiabl
Externí odkaz:
http://arxiv.org/abs/2411.09749
Magnetic imaging with ultra-high spatial resolution is crucial to exploring the magnetic textures of emerging quantum materials. We propose a novel magnetic imaging protocol that achieves Angstrom-scale resolution by combining spin defects in van der
Externí odkaz:
http://arxiv.org/abs/2411.09518
Quantum machine learning (QML) is a rapidly growing field that combines quantum computing principles with traditional machine learning. It seeks to revolutionize machine learning by harnessing the unique capabilities of quantum mechanics and employs
Externí odkaz:
http://arxiv.org/abs/2411.09403
The factorization of skew-symmetric matrices is a critically understudied area of dense linear algebra (DLA), particularly in comparison to that of symmetric matrices. While some algorithms can be adapted from the symmetric case, the cost of algorith
Externí odkaz:
http://arxiv.org/abs/2411.09859