Zobrazeno 1 - 10
of 149 280
pro vyhledávání: '"Weiwei, An"'
Phase retrieval is a fundamental technique of advanced optical technologies, enabling precise control over wavefront properties. A persistent challenge in diffractive optical element (DOE) design is that a single hologram typically operates within a
Externí odkaz:
http://arxiv.org/abs/2411.19445
In recent years, Physics-Informed Neural Networks (PINNs) have become a representative method for solving partial differential equations (PDEs) with neural networks. PINNs provide a novel approach to solving PDEs through optimization algorithms, offe
Externí odkaz:
http://arxiv.org/abs/2411.18240
Autor:
Hu, Yuchen, Ye, Junhao, Xu, Ke, Sun, Jialin, Zhang, Shiyue, Jiao, Xinyao, Pan, Dingrong, Zhou, Jie, Wang, Ning, Shan, Weiwei, Fang, Xinwei, Wang, Xi, Guan, Nan, Jiang, Zhe
Verifying hardware designs in embedded systems is crucial but often labor-intensive and time-consuming. While existing solutions have improved automation, they frequently rely on unrealistic assumptions. To address these challenges, we introduce a no
Externí odkaz:
http://arxiv.org/abs/2411.16238
Autor:
Li, Di, Yuan, Mao, Wu, Lin, Yan, Jingye, Lv, Xuning, Tsai, Chao-Wei, Wang, Pei, Zhu, WeiWei, Deng, Li, Lan, Ailan, Xu, Renxin, Chen, Xianglei, Meng, Lingqi, Li, Jian, Li, Xiangdong, Zhou, Ping, Yang, Haoran, Xue, Mengyao, Lu, Jiguang, Miao, Chenchen, Wang, Weiyang, Niu, Jiarui, Fang, Ziyao, Fu, Qiuyang, Feng, Yi, Zhang, Peijin, Jiang, Jinchen, Miao, Xueli, Chen, Yu, Sun, Lingchen, Yang, Yang, Deng, Xiang, Dai, Shi, Chen, Xue, Yao, Jumei, Liu, Yujie, Li, Changheng, Zhang, Minglu, Yang, Yiwen, Zhou, Yucheng, Yiyizhou, Zhang, Yongkun, Niu, Chenhui, Zhao, Rushuang, Zhang, Lei, Peng, Bo, Wu, Ji, Wang, Chi
Long-period radio transients (LPTs) are a newly discovered class of radio emitters with yet incomprehensibly long rotation periods, ranging from minutes to hours. The astrophysical nature of their isolated counterparts remains undetermined. We report
Externí odkaz:
http://arxiv.org/abs/2411.15739
Autor:
Proppe, Andrew H., Lee, Kin Long Kelvin, Sun, Weiwei, Krajewska, Chantalle J., Tye, Oliver, Bawendi, Moungi G.
Deep neural network models can be used to learn complex dynamics from data and reconstruct sparse or noisy signals, thereby accelerating and augmenting experimental measurements. Evaluating the quantum optical properties of solid-state single-photon
Externí odkaz:
http://arxiv.org/abs/2411.11191
We present a unified controllable video generation approach AnimateAnything that facilitates precise and consistent video manipulation across various conditions, including camera trajectories, text prompts, and user motion annotations. Specifically,
Externí odkaz:
http://arxiv.org/abs/2411.10836
In this paper, we study a coupled Hartree-type system given by \[ \left\{ \begin{array}{ll} -\Delta u = K_{1}(x)(|x|^{-(N-\alpha)} * K_{1}(x)v^{2^{*}_{\alpha}})v^{2^{*}_{\alpha}-1} & \text{in } \mathbb{R}^N, \\[1mm] -\Delta v = K_{2}(x)(|x|^{-(N-\alp
Externí odkaz:
http://arxiv.org/abs/2411.09993
Surrogate model can replace the parametric full-order model (FOM) by an approximation model, which can significantly improve the efficiency of optimization design and reduce the complexity of engineering systems. However, due to limitations in effici
Externí odkaz:
http://arxiv.org/abs/2411.09367
Autor:
Muhtar, Dilxat, Shen, Yelong, Yang, Yaming, Liu, Xiaodong, Lu, Yadong, Liu, Jianfeng, Zhan, Yuefeng, Sun, Hao, Deng, Weiwei, Sun, Feng, Zhang, Xueliang, Gao, Jianfeng, Chen, Weizhu, Zhang, Qi
In-context learning (ICL) allows large language models (LLMs) to adapt to new tasks directly from the given demonstrations without requiring gradient updates. While recent advances have expanded context windows to accommodate more demonstrations, thi
Externí odkaz:
http://arxiv.org/abs/2411.09289
Autor:
Broyles, Christopher, Mardanya, Sougata, Liu, Mengke, Ahn, Junyeong, Dinh, Thao, Alqasseri, Gadeer, Garner, Jalen, Rehfuss, Zackary, Guo, Ken, Zhu, Jiahui, Martinez, David, Li, Du, Hao, Yiqing, Cao, Huibo, Boswell, Matt, Xie, Weiwei, Philbrick, Jeremy G., Kong, Tai, Yang, Li, Vishwanath, Ashvin, Kim, Philip, Xu, Su-Yang, Hoffman, Jennifer E., Denlinger, Jonathan D., Chowdhury, Sugata, Ran, Sheng
Since the initial discovery of two-dimensional van der Waals (vdW) materials, significant effort has been made to incorporate the three properties of magnetism, band structure topology, and strong electron correlations $-$ to leverage emergent quantu
Externí odkaz:
http://arxiv.org/abs/2411.08816