Zobrazeno 1 - 10
of 2 327
pro vyhledávání: '"BAO Han"'
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 239, Iss 6, Pp 1085-1087 (2024)
C13H14N2O7U, monoclinic, P21/n (no. 14), a = 8.6855(14) Å, b = 11.982(2) Å, c = 14.953(2) Å, β = 94.557(5)°, V = 1,551.3(4) Å3, Z = 4, R gt(F) = 0.0559, wR ref (F 2) = 0.1081, T = 150(2) K
Externí odkaz:
https://doaj.org/article/93b2ecc641da49bd80ef8307c44c4177
Publikováno v:
Rock and Soil Mechanics, Vol 43, Iss 8, Pp 2060-2070 (2022)
To explore the strength characteristics of anisotropic rocks caused by mineral directional arrangement during progressive failure process, biotite quartz schist was taken as an example, and triaxial compression tests were carried out on samples with
Externí odkaz:
https://doaj.org/article/2e269e27537940f984e5ab7dad8c9409
Autor:
Zhuo Li, Yajiang Yuan, Zhongming Zhang, Xiuming Zhang, Hui Yang, Huanan Li, Bao Han, Ziyang Deng, Zipeng Zhou, Xiangyi Fan
Publikováno v:
Materials & Design, Vol 225, Iss , Pp 111455- (2023)
Effectively suppressing the hyperactivated inflammatory response is a critical strategy for treating inflammatory diseases, such as spinal cord injury (SCI) and rheumatoid arthritis (RA). Suitable anti-inflammatory drug delivery vehicles need to be c
Externí odkaz:
https://doaj.org/article/04ab19d926ed4fa191d48ef3f165de9d
Autor:
DeepSeek-AI, Liu, Aixin, Feng, Bei, Xue, Bing, Wang, Bingxuan, Wu, Bochao, Lu, Chengda, Zhao, Chenggang, Deng, Chengqi, Zhang, Chenyu, Ruan, Chong, Dai, Damai, Guo, Daya, Yang, Dejian, Chen, Deli, Ji, Dongjie, Li, Erhang, Lin, Fangyun, Dai, Fucong, Luo, Fuli, Hao, Guangbo, Chen, Guanting, Li, Guowei, Zhang, H., Bao, Han, Xu, Hanwei, Wang, Haocheng, Zhang, Haowei, Ding, Honghui, Xin, Huajian, Gao, Huazuo, Li, Hui, Qu, Hui, Cai, J. L., Liang, Jian, Guo, Jianzhong, Ni, Jiaqi, Li, Jiashi, Wang, Jiawei, Chen, Jin, Chen, Jingchang, Yuan, Jingyang, Qiu, Junjie, Li, Junlong, Song, Junxiao, Dong, Kai, Hu, Kai, Gao, Kaige, Guan, Kang, Huang, Kexin, Yu, Kuai, Wang, Lean, Zhang, Lecong, Xu, Lei, Xia, Leyi, Zhao, Liang, Wang, Litong, Zhang, Liyue, Li, Meng, Wang, Miaojun, Zhang, Mingchuan, Zhang, Minghua, Tang, Minghui, Li, Mingming, Tian, Ning, Huang, Panpan, Wang, Peiyi, Zhang, Peng, Wang, Qiancheng, Zhu, Qihao, Chen, Qinyu, Du, Qiushi, Chen, R. J., Jin, R. L., Ge, Ruiqi, Zhang, Ruisong, Pan, Ruizhe, Wang, Runji, Xu, Runxin, Zhang, Ruoyu, Chen, Ruyi, Li, S. S., Lu, Shanghao, Zhou, Shangyan, Chen, Shanhuang, Wu, Shaoqing, Ye, Shengfeng, Ma, Shirong, Wang, Shiyu, Zhou, Shuang, Yu, Shuiping, Zhou, Shunfeng, Pan, Shuting, Wang, T., Yun, Tao, Pei, Tian, Sun, Tianyu, Xiao, W. L., Zeng, Wangding, Zhao, Wanjia, An, Wei, Liu, Wen, Liang, Wenfeng, Gao, Wenjun, Yu, Wenqin, Zhang, Wentao, Li, X. Q., Jin, Xiangyue, Wang, Xianzu, Bi, Xiao, Liu, Xiaodong, Wang, Xiaohan, Shen, Xiaojin, Chen, Xiaokang, Zhang, Xiaokang, Chen, Xiaosha, Nie, Xiaotao, Sun, Xiaowen, Wang, Xiaoxiang, Cheng, Xin, Liu, Xin, Xie, Xin, Liu, Xingchao, Yu, Xingkai, Song, Xinnan, Shan, Xinxia, Zhou, Xinyi, Yang, Xinyu, Li, Xinyuan, Su, Xuecheng, Lin, Xuheng, Li, Y. K., Wang, Y. Q., Wei, Y. X., Zhu, Y. X., Zhang, Yang, Xu, Yanhong, Huang, Yanping, Li, Yao, Zhao, Yao, Sun, Yaofeng, Li, Yaohui, Wang, Yaohui, Yu, Yi, Zheng, Yi, Zhang, Yichao, Shi, Yifan, Xiong, Yiliang, He, Ying, Tang, Ying, Piao, Yishi, Wang, Yisong, Tan, Yixuan, Ma, Yiyang, Liu, Yiyuan, Guo, Yongqiang, Wu, Yu, Ou, Yuan, Zhu, Yuchen, Wang, Yuduan, Gong, Yue, Zou, Yuheng, He, Yujia, Zha, Yukun, Xiong, Yunfan, Ma, Yunxian, Yan, Yuting, Luo, Yuxiang, You, Yuxiang, Liu, Yuxuan, Zhou, Yuyang, Wu, Z. F., Ren, Z. Z., Ren, Zehui, Sha, Zhangli, Fu, Zhe, Xu, Zhean, Huang, Zhen, Zhang, Zhen, Xie, Zhenda, Zhang, Zhengyan, Hao, Zhewen, Gou, Zhibin, Ma, Zhicheng, Yan, Zhigang, Shao, Zhihong, Xu, Zhipeng, Wu, Zhiyu, Zhang, Zhongyu, Li, Zhuoshu, Gu, Zihui, Zhu, Zijia, Liu, Zijun, Li, Zilin, Xie, Ziwei, Song, Ziyang, Gao, Ziyi, Pan, Zizheng
We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) an
Externí odkaz:
http://arxiv.org/abs/2412.19437
Multiplication is a core operation in modern neural network (NN) computations, contributing significantly to energy consumption. The linear-complexity multiplication (L-Mul) algorithm is specifically proposed as an approximate multiplication method f
Externí odkaz:
http://arxiv.org/abs/2412.18948
The Sine-Cosine function, which is widely adopted in mathematics and physics, has attracted our attention due to its unique properties. By delving into the coupling effect of the Sine-Cosine function, we discover a previously unreported class of nonl
Externí odkaz:
http://arxiv.org/abs/2412.07208
Fast entangling gate operations are a fundamental prerequisite for quantum simulation and computation. We propose an entangling scheme for arbitrary pairs of ions in a linear crystal, harnessing the high electric polarizability of highly excited Rydb
Externí odkaz:
http://arxiv.org/abs/2411.19684
The word embedding space in neural models is skewed, and correcting this can improve task performance. We point out that most approaches for modeling, correcting, and measuring the symmetry of an embedding space implicitly assume that the word freque
Externí odkaz:
http://arxiv.org/abs/2411.00680
Publikováno v:
Cailiao gongcheng, Vol 49, Iss 6, Pp 77-84 (2021)
The thermodynamic and kinetic basic theories of high temperature oxidation of metals and the theoretical conditions for the formation of protective oxide scale on FeCr alloys were described briefly. The characteristics of oxide scale structure and ox
Externí odkaz:
https://doaj.org/article/dfa2b5e4dea34db190b963992558457c
Autor:
Bao, Han, Huang, Yue, Wang, Yanbo, Ye, Jiayi, Wang, Xiangqi, Chen, Xiuying, Elhoseiny, Mohamed, Zhang, Xiangliang
Large Vision-Language Models (LVLMs) have become essential for advancing the integration of visual and linguistic information, facilitating a wide range of complex applications and tasks. However, the evaluation of LVLMs presents significant challeng
Externí odkaz:
http://arxiv.org/abs/2410.21259