The crystal structure of (3-chlorothiophene-2-carboxylato-κ2O, O′)-(2,2′-dipyridyl-κ2N,N′)lead(II), C20H12Cl2N2O4S2Pb

Autor: Zhang Zhongyu, Fu Chunhua, Sun Wan, Dong Chunmeng

Publikováno v: Zeitschrift für Kristallographie - New Crystal Structures, Vol 239, Iss 5, Pp 873-875 (2024)

C20H12Cl2N2O4S2Pb, monoclinic, P21/c (no. 14), a = 13.2710(4) Å, b = 16.7810(4) Å, c = 9.6857(2) Å, β = 96.5550(1)°, V = 2142.91(9) Å3, Z = 4, Rgt(F) = 0.0314, wRref(F2) = 0.0807, T = 150.0 K.

Externí odkaz: https://doaj.org/article/c968d108ef2e47d884a82530af3ab68e

The crystal structure of diaqua-methanol-κ1 O- (3-thiophenecarboxylato-κO)-(2,2′-dipyridyl-κ2 N,N′)manganese(II) 3-thiophenecarboxylate, C21H22N2O7S2Mn

Autor: Shi Zheng, Zhang Zhongyu, Han Bing, Li Yunyun

Publikováno v: Zeitschrift für Kristallographie - New Crystal Structures, Vol 238, Iss 4, Pp 623-625 (2023)

C21H22N2O7S2Mn, monoclinic, P21/c (no. 14), a = 14.544(6) Å, b = 9.636(4) Å, c = 17.087(7) Å, β = 96.664(6)° $96.664(6){}^{\circ}$ , V = 2378.5(17) Å3, Z = 4, Rgt ${R}_{\mathit{g}\mathit{t}}$ (F) = 0.0349, wRref $w{R}_{\mathit{r}\mathit{e}\math

Externí odkaz: https://doaj.org/article/6ed6c81830864011a41cf051fbe54cce

UDD: Dataset Distillation via Mining Underutilized Regions

Autor: Wang, Shiguang, Zhang, Zhongyu, Cheng, Jian

Dataset distillation synthesizes a small dataset such that a model trained on this set approximates the performance of the original dataset. Recent studies on dataset distillation focused primarily on the design of the optimization process, with meth

Externí odkaz: http://arxiv.org/abs/2408.16268

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Autor: DeepSeek-AI, Liu, Aixin, Feng, Bei, Wang, Bin, Wang, Bingxuan, Liu, Bo, Zhao, Chenggang, Dengr, Chengqi, Ruan, Chong, Dai, Damai, Guo, Daya, Yang, Dejian, Chen, Deli, Ji, Dongjie, Li, Erhang, Lin, Fangyun, Luo, Fuli, Hao, Guangbo, Chen, Guanting, Li, Guowei, Zhang, H., Xu, Hanwei, Yang, Hao, Zhang, Haowei, Ding, Honghui, Xin, Huajian, Gao, Huazuo, Li, Hui, Qu, Hui, Cai, J. L., Liang, Jian, Guo, Jianzhong, Ni, Jiaqi, Li, Jiashi, Chen, Jin, Yuan, Jingyang, Qiu, Junjie, Song, Junxiao, Dong, Kai, Gao, Kaige, Guan, Kang, Wang, Lean, Zhang, Lecong, Xu, Lei, Xia, Leyi, Zhao, Liang, Zhang, Liyue, Li, Meng, Wang, Miaojun, Zhang, Mingchuan, Zhang, Minghua, Tang, Minghui, Li, Mingming, Tian, Ning, Huang, Panpan, Wang, Peiyi, Zhang, Peng, Zhu, Qihao, Chen, Qinyu, Du, Qiushi, Chen, R. J., Jin, R. L., Ge, Ruiqi, Pan, Ruizhe, Xu, Runxin, 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, Zheng, Size, Wang, T., Pei, Tian, Yuan, Tian, Sun, Tianyu, Xiao, W. L., Zeng, Wangding, An, Wei, Liu, Wen, Liang, Wenfeng, Gao, Wenjun, Zhang, Wentao, Li, X. Q., Jin, Xiangyue, Wang, Xianzu, Bi, Xiao, Liu, Xiaodong, Wang, Xiaohan, Shen, Xiaojin, Chen, Xiaokang, Chen, Xiaosha, Nie, Xiaotao, Sun, Xiaowen, Wang, Xiaoxiang, Liu, Xin, Xie, Xin, Yu, Xingkai, Song, Xinnan, Zhou, Xinyi, Yang, Xinyu, Lu, Xuan, Su, Xuecheng, Wu, Y., Li, Y. K., Wei, Y. X., Zhu, Y. X., Xu, Yanhong, Huang, Yanping, Li, Yao, Zhao, Yao, Sun, Yaofeng, Li, Yaohui, Wang, Yaohui, Zheng, Yi, Zhang, Yichao, Xiong, Yiliang, Zhao, Yilong, He, Ying, Tang, Ying, Piao, Yishi, Dong, Yixin, Tan, Yixuan, Liu, Yiyuan, Wang, Yongji, Guo, Yongqiang, Zhu, Yuchen, Wang, Yuduan, Zou, Yuheng, Zha, Yukun, Ma, Yunxian, Yan, Yuting, You, Yuxiang, Liu, Yuxuan, Ren, Z. Z., Ren, Zehui, Sha, Zhangli, Fu, Zhe, Huang, Zhen, Zhang, Zhen, Xie, Zhenda, Hao, Zhewen, Shao, Zhihong, Wen, Zhiniu, Xu, Zhipeng, Zhang, Zhongyu, Li, Zhuoshu, Wang, Zihan, Gu, Zihui, Li, Zilin, Xie, Ziwei

We present DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. It comprises 236B total parameters, of which 21B are activated for each token, and supports a context length of 128

Externí odkaz: http://arxiv.org/abs/2405.04434

Distilling Object Detectors With Global Knowledge

Autor: Tang, Sanli, Zhang, Zhongyu, Cheng, Zhanzhan, Lu, Jing, Xu, Yunlu, Niu, Yi, He, Fan

Knowledge distillation learns a lightweight student model that mimics a cumbersome teacher. Existing methods regard the knowledge as the feature of each instance or their relations, which is the instance-level knowledge only from the teacher model, i

Externí odkaz: http://arxiv.org/abs/2210.09022