Searching for Neutrinoless Double-Beta Decay of $^{136}$Xe with PandaX-4T

Autor: PandaX Collaboration, Zhang, Shu, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Gao, Zhixing, Geng, Lisheng, Giboni, Karl, Guo, Xunan, Guo, Xuyuan, Guo, Zichao, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Houqi, Huang, Junting, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ji, Xiangpan, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Li, Zhiyuan, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shan, Dong, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Shen, Manbin, Sun, Wenliang, Tao, Yi, Wang, Anqing, Wang, Guanbo, Wang, Hao, Wang, Jiamin, Wang, Lei, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Xiong, Kaizhi, Xu, Yifan, Yao, Shunyu, Yan, Binbin, Yan, Xiyu, Yang, Yong, Ye, Peihua, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Jiaxu, Zhou, Jiayi, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yubo, Zhou, Zhizhen

We report the search for neutrinoless double-beta decay of $^{136}$Xe from the PandaX-4T experiment with a 3.7-tonne natural xenon target. The data reconstruction and the background modeling are optimized in the MeV energy region. A blind analysis is

Externí odkaz: http://arxiv.org/abs/2412.13979

Copper delocalization leads to ultralow thermal conductivity in chalcohalide CuBiSeCl2

Autor: Hao, Yuzhou, Che, Junwei, Wang, Xiaoying, Li, Xuejie, Sun, Jun, Ding, Xiangdong, Lookman, Turab, Gao, Zhibin

Mixed anion halide-chalcogenide materials have attracted considerable attention due to their exceptional optoelectronic properties, making them promising candidates for various applications. Among these, CuBiSeCl_2 has recently been experimentally id

Externí odkaz: http://arxiv.org/abs/2412.03976

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models

Autor: Pan, Bikang, Li, Qun, Tang, Xiaoying, Huang, Wei, Fang, Zhen, Liu, Feng, Wang, Jingya, Yu, Jingyi, Shi, Ye

The emergence of vision-language foundation models, such as CLIP, has revolutionized image-text representation, enabling a broad range of applications via prompt learning. Despite its promise, real-world datasets often contain noisy labels that can d

Externí odkaz: http://arxiv.org/abs/2412.01256

Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization

Autor: Zeng, Dun, Wu, Zheshun, Liu, Shiyu, Pan, Yu, Tang, Xiaoying, Xu, Zenglin

Federated Learning (FL) is a distributed learning approach that trains neural networks across multiple devices while keeping their local data private. However, FL often faces challenges due to data heterogeneity, leading to inconsistent local optima

Externí odkaz: http://arxiv.org/abs/2411.16303

Hierarchical multiscale fracture modeling of carbon-nitride nanosheet reinforced composites by combining cohesive phase-field and molecular dynamics

Autor: Zhang, Qinghua, Valizadeh, Navid, Liu, Mingpeng, Zhuang, Xiaoying, Mortazavi, Bohayra

Understanding the fracture mechanisms in composite materials across scales, from nano- to micro-scales, is essential for an in-depth understanding of the reinforcement mechanisms and designing the next generation of lightweight, high-strength composi

Externí odkaz: http://arxiv.org/abs/2411.14492