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Intense abyssal flow through the Yap-Mariana Junction in the western North Pacific 期刊论文
Geophysical Research Letters, 2022
作者:  Chun Zhou;  Hongzhou Xu;  Xin Xiao;  Wei Zhao;  Jiayan Yang;  Qingxuan Yang;  Huichang Jiang;  Qiang Xie;  Tong Long;  Tinghao Wang;  Xiaodong Huang;  Zhiwei Zhang;  Shoude Guan;  Jiwei Tian
收藏  |  浏览/下载:15/0  |  提交时间:2022/02/16
Impact of Formation Pathways on Secondary Inorganic Aerosol during Haze Pollution in Beijing: Quantitative Evidence from High-Resolution Observation and Modeling 期刊论文
Geophysical Research Letters, 2021
作者:  Jie Gao;  Yiming Li;  Jiayun Li;  Guoliang Shi;  Zirui Liu;  Bo Han;  Xiao Tian;  Yuesi Wang;  Yinchang Feng;  Armistead G. Russell
收藏  |  浏览/下载:13/0  |  提交时间:2021/11/23
Conjugate observation of magnetospheric chorus propagating to the ionosphere by ducting 期刊论文
Geophysical Research Letters, 2021
作者:  Yangyang Shen;  Lunjin Chen;  Xiao-Jia Zhang;  Anton Artemyev;  Vassilis Angelopoulos;  Christopher M Cully;  H Gordon James;  Andrew W Yau;  Andrew D Howarth;  Jacob Bortnik;  Jiashu Wu;  Sheng Tian;  Michael D Hartinger;  Martin Connors;  Richard B Horne
收藏  |  浏览/下载:12/0  |  提交时间:2021/11/23
Hierarchical-morphology metafabric for scalable passive daytime radiative cooling 期刊论文
Science, 2021
作者:  Shaoning Zeng;  Sijie Pian;  Minyu Su;  Zhuning Wang;  Maoqi Wu;  Xinhang Liu;  Mingyue Chen;  Yuanzhuo Xiang;  Jiawei Wu;  Manni Zhang;  Qingqing Cen;  Yuwei Tang;  Xianheng Zhou;  Zhiheng Huang;  Rui Wang;  Alitenai Tunuhe;  Xiyu Sun;  Zhigang Xia;  Mingwei Tian;  Min Chen;  Xiao Ma;  Lvyun Yang;  Jun Zhou;  Huamin Zhou;  Qing Yang;  Xin Li;  Yaoguang Ma;  Guangming Tao
收藏  |  浏览/下载:21/0  |  提交时间:2021/08/10
Peta–electron volt gamma-ray emission from the Crab Nebula 期刊论文
Science, 2021
作者:  The LHAASO Collaboration*†;  Zhen Cao;  F. Aharonian;  Q. An;  Axikegu;  L. X. Bai;  Y. X. Bai;  Y. W. Bao;  D. Bastieri;  X. J. Bi;  Y. J. Bi;  H. Cai;  J. T. Cai;  Zhe Cao;  J. Chang;  J. F. Chang;  B. M. Chen;  E. S. Chen;  J. Chen;  Liang Chen;  Liang Chen;  Long Chen;  M. J. Chen;  M. L. Chen;  Q. H. Chen;  S. H. Chen;  S. Z. Chen;  T. L. Chen;  X. L. Chen;  Y. Chen;  N. Cheng;  Y. D. Cheng;  S. W. Cui;  X. H. Cui;  Y. D. Cui;  B. D’Ettorre Piazzoli;  B. Z. Dai;  H. L. Dai;  Z. G. Dai;  Danzengluobu;  D. della Volpe;  X. J. Dong;  K. K. Duan;  J. H. Fan;  Y. Z. Fan;  Z. X. Fan;  J. Fang;  K. Fang;  C. F. Feng;  L. Feng;  S. H. Feng;  Y. L. Feng;  B. Gao;  C. D. Gao;  L. Q. Gao;  Q. Gao;  W. Gao;  M. M. Ge;  L. S. Geng;  G. H. Gong;  Q. B. Gou;  M. H. Gu;  F. L. Guo;  J. G. Guo;  X. L. Guo;  Y. Q. Guo;  Y. Y. Guo;  Y. A. Han;  H. H. He;  H. N. He;  J. C. He;  S. L. He;  X. B. He;  Y. He;  M. Heller;  Y. K. Hor;  C. Hou;  X. Hou;  H. B. Hu;  S. Hu;  S. C. Hu;  X. J. Hu;  D. H. Huang;  Q. L. Huang;  W. H. Huang;  X. T. Huang;  X. Y. Huang;  Z. C. Huang;  F. Ji;  X. L. Ji;  H. Y. Jia;  K. Jiang;  Z. J. Jiang;  C. Jin;  T. Ke;  D. Kuleshov;  K. Levochkin;  B. B. Li;  Cheng Li;  Cong Li;  F. Li;  H. B. Li;  H. C. Li;  H. Y. Li;  Jian Li;  Jie Li;  K. Li;  W. L. Li;  X. R. Li;  Xin Li;  Xin Li;  Y. Li;  Y. Z. Li;  Zhe Li;  Zhuo Li;  E. W. Liang;  Y. F. Liang;  S. J. Lin;  B. Liu;  C. Liu;  D. Liu;  H. Liu;  H. D. Liu;  J. Liu;  J. L. Liu;  J. S. Liu;  J. Y. Liu;  M. Y. Liu;  R. Y. Liu;  S. M. Liu;  W. Liu;  Y. Liu;  Y. N. Liu;  Z. X. Liu;  W. J. Long;  R. Lu;  H. K. Lv;  B. Q. Ma;  L. L. Ma;  X. H. Ma;  J. R. Mao;  A. Masood;  Z. Min;  W. Mitthumsiri;  T. Montaruli;  Y. C. Nan;  B. Y. Pang;  P. Pattarakijwanich;  Z. Y. Pei;  M. Y. Qi;  Y. Q. Qi;  B. Q. Qiao;  J. J. Qin;  D. Ruffolo;  V. Rulev;  A. Saiz;  L. Shao;  O. Shchegolev;  X. D. Sheng;  J. Y. Shi;  H. C. Song;  Yu. V. Stenkin;  V. Stepanov;  Y. Su;  Q. N. Sun;  X. N. Sun;  Z. B. Sun;  P. H. T. Tam;  Z. B. Tang;  W. W. Tian;  B. D. Wang;  C. Wang;  H. Wang;  H. G. Wang;  J. C. Wang;  J. S. Wang;  L. P. Wang;  L. Y. Wang;  R. N. Wang;  Wei Wang;  Wei Wang;  X. G. Wang;  X. J. Wang;  X. Y. Wang;  Y. Wang;  Y. D. Wang;  Y. J. Wang;  Y. P. Wang;  Z. H. Wang;  Z. X. Wang;  Zhen Wang;  Zheng Wang;  D. M. Wei;  J. J. Wei;  Y. J. Wei;  T. Wen;  C. Y. Wu;  H. R. Wu;  S. Wu;  W. X. Wu;  X. F. Wu;  S. Q. Xi;  J. Xia;  J. J. Xia;  G. M. Xiang;  D. X. Xiao;  G. Xiao;  H. B. Xiao;  G. G. Xin;  Y. L. Xin;  Y. Xing;  D. L. Xu;  R. X. Xu;  L. Xue;  D. H. Yan;  J. Z. Yan;  C. W. Yang;  F. F. Yang;  J. Y. Yang;  L. L. Yang;  M. J. Yang;  R. Z. Yang;  S. B. Yang;  Y. H. Yao;  Z. G. Yao;  Y. M. Ye;  L. Q. Yin;  N. Yin;  X. H. You;  Z. Y. You;  Y. H. Yu;  Q. Yuan;  H. D. Zeng;  T. X. Zeng;  W. Zeng;  Z. K. Zeng;  M. Zha;  X. X. Zhai;  B. B. Zhang;  H. M. Zhang;  H. Y. Zhang;  J. L. Zhang;  J. W. Zhang;  L. X. Zhang;  Li Zhang;  Lu Zhang;  P. F. Zhang;  P. P. Zhang;  R. Zhang;  S. R. Zhang;  S. S. Zhang;  X. Zhang;  X. P. Zhang;  Y. F. Zhang;  Y. L. Zhang;  Yi Zhang;  Yong Zhang;  B. Zhao;  J. Zhao;  L. Zhao;  L. Z. Zhao;  S. P. Zhao;  F. Zheng;  Y. Zheng;  B. Zhou;  H. Zhou;  J. N. Zhou;  P. Zhou;  R. Zhou;  X. X. Zhou;  C. G. Zhu;  F. R. Zhu;  H. Zhu;  K. J. Zhu;  X. Zuo
收藏  |  浏览/下载:15/0  |  提交时间:2021/07/27
Lead halide–templated crystallization of methylamine-free perovskite for efficient photovoltaic modules 期刊论文
Science, 2021
作者:  Tongle Bu;  Jing Li;  Hengyi Li;  Congcong Tian;  Jie Su;  Guoqing Tong;  Luis K. Ono;  Chao Wang;  Zhipeng Lin;  Nianyao Chai;  Xiao-Li Zhang;  Jingjing Chang;  Jianfeng Lu;  Jie Zhong;  Wenchao Huang;  Yabing Qi;  Yi-Bing Cheng;  Fuzhi Huang
收藏  |  浏览/下载:26/0  |  提交时间:2021/06/24
Real‐time Earthquake Early Warning with Deep Learning: Application to the 2016 M 6.0 Central Apennines, Italy Earthquake 期刊论文
Geophysical Research Letters, 2021
作者:  Xiong Zhang;  Miao Zhang;  Xiao Tian
收藏  |  浏览/下载:5/0  |  提交时间:2021/02/17
Improved protein structure prediction using potentials from deep learning 期刊论文
NATURE, 2020, 577 (7792) : 706-+
作者:  Ma, Runze;  Cao, Duanyun;  Zhu, Chongqin;  Tian, Ye;  Peng, Jinbo;  Guo, Jing;  Chen, Ji;  Li, Xin-Zheng;  Francisco, Joseph S.;  Zeng, Xiao Cheng;  Xu, Li-Mei;  Wang, En-Ge;  Jiang, Ying
收藏  |  浏览/下载:143/0  |  提交时间:2020/07/03

Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence(1). This problem is of fundamental importance as the structure of a protein largely determines its function(2)  however, protein structures can be difficult to determine experimentally. Considerable progress has recently been made by leveraging genetic information. It is possible to infer which amino acid residues are in contact by analysing covariation in homologous sequences, which aids in the prediction of protein structures(3). Here we show that we can train a neural network to make accurate predictions of the distances between pairs of residues, which convey more information about the structure than contact predictions. Using this information, we construct a potential of mean force(4) that can accurately describe the shape of a protein. We find that the resulting potential can be optimized by a simple gradient descent algorithm to generate structures without complex sampling procedures. The resulting system, named AlphaFold, achieves high accuracy, even for sequences with fewer homologous sequences. In the recent Critical Assessment of Protein Structure Prediction(5) (CASP13)-a blind assessment of the state of the field-AlphaFold created high-accuracy structures (with template modelling (TM) scores(6) of 0.7 or higher) for 24 out of 43 free modelling domains, whereas the next best method, which used sampling and contact information, achieved such accuracy for only 14 out of 43 domains. AlphaFold represents a considerable advance in protein-structure prediction. We expect this increased accuracy to enable insights into the function and malfunction of proteins, especially in cases for which no structures for homologous proteins have been experimentally determined(7).


  
Aerosol pH Dynamics During Haze Periods in an Urban Environment in China: Use of Detailed, Hourly, Speciated Observations to Study the Role of Ammonia Availability and Secondary Aerosol Formation and Urban Environment 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (16) : 9730-9742
作者:  Shi, Guoliang;  Xu, Jiao;  Shi, Xurong;  Liu, Baoshuang;  Bi, Xiaohui;  Xiao, Zhimei;  Chen, Kui;  Wen, Jie;  Dong, Shihao;  Tian, Yingze;  Feng, Yinchang;  Yu, Haofei;  Song, Shaojie;  Zhao, Qianyu;  Gao, Jie;  Russell, Armistead G.
收藏  |  浏览/下载:10/0  |  提交时间:2019/11/27
aerosol  pH  ammonia  source  secondary aerosol  
Regulatory mechanism design of GHG emissions in the electric power industry in China 期刊论文
ENERGY POLICY, 2019, 131: 187-201
作者:  Feng, Tian-tian;  Gong, Xiao-lei;  Guo, Yu-hua;  Yang, Yi-sheng;  Dong, Jun
收藏  |  浏览/下载:11/0  |  提交时间:2019/11/27
Electric power industry  Greenhouse gas emission  Regulatory mechanism