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Accelerated discovery of CO2 electrocatalysts using active machine learning 期刊论文
NATURE, 2020, 581 (7807) : 178-+
作者:  Lan, Jun;  Ge, Jiwan;  Yu, Jinfang;  Shan, Sisi;  Zhou, Huan;  Fan, Shilong;  Zhang, Qi;  Shi, Xuanling;  Wang, Qisheng;  Zhang, Linqi;  Wang, Xinquan
收藏  |  浏览/下载:90/0  |  提交时间:2020/07/03

The rapid increase in global energy demand and the need to replace carbon dioxide (CO2)-emitting fossil fuels with renewable sources have driven interest in chemical storage of intermittent solar and wind energy(1,2). Particularly attractive is the electrochemical reduction of CO2 to chemical feedstocks, which uses both CO2 and renewable energy(3-8). Copper has been the predominant electrocatalyst for this reaction when aiming for more valuable multi-carbon products(9-16), and process improvements have been particularly notable when targeting ethylene. However, the energy efficiency and productivity (current density) achieved so far still fall below the values required to produce ethylene at cost-competitive prices. Here we describe Cu-Al electrocatalysts, identified using density functional theory calculations in combination with active machine learning, that efficiently reduce CO2 to ethylene with the highest Faradaic efficiency reported so far. This Faradaic efficiency of over 80 per cent (compared to about 66 per cent for pure Cu) is achieved at a current density of 400 milliamperes per square centimetre (at 1.5 volts versus a reversible hydrogen electrode) and a cathodic-side (half-cell) ethylene power conversion efficiency of 55 +/- 2 per cent at 150 milliamperes per square centimetre. We perform computational studies that suggest that the Cu-Al alloys provide multiple sites and surface orientations with near-optimal CO binding for both efficient and selective CO2 reduction(17). Furthermore, in situ X-ray absorption measurements reveal that Cu and Al enable a favourable Cu coordination environment that enhances C-C dimerization. These findings illustrate the value of computation and machine learning in guiding the experimental exploration of multi-metallic systems that go beyond the limitations of conventional single-metal electrocatalysts.


  
Spin squeezing of 10(11) atoms by prediction and retrodiction measurements 期刊论文
NATURE, 2020, 581 (7807) : 159-+
作者:  Lan, Jun;  Ge, Jiwan;  Yu, Jinfang;  Shan, Sisi;  Zhou, Huan;  Fan, Shilong;  Zhang, Qi;  Shi, Xuanling;  Wang, Qisheng;  Zhang, Linqi;  Wang, Xinquan
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/03

The measurement sensitivity of quantum probes using N uncorrelated particles is restricted by the standard quantum limit(1), which is proportional to 1/root N. This limit, however, can be overcome by exploiting quantum entangled states, such as spin-squeezed states(2). Here we report the measurement-based generation of a quantum state that exceeds the standard quantum limit for probing the collective spin of 10(11) rubidium atoms contained in a macroscopic vapour cell. The state is prepared and verified by sequences of stroboscopic quantum non-demolition (QND) measurements. We then apply the theory of past quantum states(3,4) to obtain spin state information from the outcomes of both earlier and later QND measurements. Rather than establishing a physically squeezed state in the laboratory, the past quantum state represents the combined system information from these prediction and retrodiction measurements. This information is equivalent to a noise reduction of 5.6 decibels and a metrologically relevant squeezing of 4.5 decibels relative to the coherent spin state. The past quantum state yields tighter constraints on the spin component than those obtained by conventional QND measurements. Our measurement uses 1,000 times more atoms than previous squeezing experiments(5-10), with a corresponding angular variance of the squeezed collective spin of 4.6 x 10(-13) radians squared. Although this work is rooted in the foundational theory of quantum measurements, it may find practical use in quantum metrology and quantum parameter estimation, as we demonstrate by applying our protocol to quantum enhanced atomic magnetometry.


  
Notch signalling drives synovial fibroblast identity and arthritis pathology 期刊论文
NATURE, 2020, 582 (7811) : 259-+
作者:  Han, Xiaoping;  Zhou, Ziming;  Fei, Lijiang;  Sun, Huiyu;  Wang, Renying;  Chen, Yao;  Chen, Haide;  Wang, Jingjing;  Tang, Huanna;  Ge, Wenhao;  Zhou, Yincong;  Ye, Fang;  Jiang, Mengmeng;  Wu, Junqing;  Xiao, Yanyu;  Jia, Xiaoning;  Zhang, Tingyue;  Ma, Xiaojie;  Zhang, Qi;  Bai, Xueli;  Lai, Shujing;  Yu, Chengxuan;  Zhu, Lijun;  Lin, Rui;  Gao, Yuchi;  Wang, Min;  Wu, Yiqing;  Zhang, Jianming;  Zhan, Renya;  Zhu, Saiyong;  Hu, Hailan;  Wang, Changchun;  Chen, Ming;  Huang, He;  Liang, Tingbo;  Chen, Jianghua;  Wang, Weilin;  Zhang, Dan;  Guo, Guoji
收藏  |  浏览/下载:43/0  |  提交时间:2020/07/03

NOTCH3 signalling is shown to be the underlying driver of the differentiation and expansion of a subset of synovial fibroblasts implicated in the pathogenesis of rheumatoid arthritis.


The synovium is a mesenchymal tissue composed mainly of fibroblasts, with a lining and sublining that surround the joints. In rheumatoid arthritis the synovial tissue undergoes marked hyperplasia, becomes inflamed and invasive, and destroys the joint(1,2). It has recently been shown that a subset of fibroblasts in the sublining undergoes a major expansion in rheumatoid arthritis that is linked to disease activity(3-5)  however, the molecular mechanism by which these fibroblasts differentiate and expand is unknown. Here we identify a critical role for NOTCH3 signalling in the differentiation of perivascular and sublining fibroblasts that express CD90 (encoded by THY1). Using single-cell RNA sequencing and synovial tissue organoids, we found that NOTCH3 signalling drives both transcriptional and spatial gradients-emanating from vascular endothelial cells outwards-in fibroblasts. In active rheumatoid arthritis, NOTCH3 and Notch target genes are markedly upregulated in synovial fibroblasts. In mice, the genetic deletion of Notch3 or the blockade of NOTCH3 signalling attenuates inflammation and prevents joint damage in inflammatory arthritis. Our results indicate that synovial fibroblasts exhibit a positional identity that is regulated by endothelium-derived Notch signalling, and that this stromal crosstalk pathway underlies inflammation and pathology in inflammatory arthritis.


  
The Spatial Evolution of Upward Positive Stepped Leaders Initiated From a 356-m-Tall Tower in Southern China 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (2)
作者:  Gao, Yan;  Chen, Mingli;  Qin, Zilong;  Qiu, Zongxu;  Yang, Yuexin;  Du, Ya-ping;  Wang, Shaoyang;  Zhang, Ge
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
Abandonment lead to structural degradation and changes in carbon allocation patterns in Moso bamboo forests 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 449
作者:  Yin, Jiayang;  Ge, Zhipeng;  Deng, Xu;  Shi, Yongjun;  Xu, Lin;  Zhou, Guomo;  Ye, Yuzhu;  Zhang, Fagen;  Zhou, Yufeng;  Li, Chong;  Niu, Zhengwen
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/27
Phyllostachys pubescens  Structure degradation  Carbon allocation pattern  Abandoned bamboo forests  
Organic Carbon Pools in the Subsea Permafrost Domain Since the Last Glacial Maximum 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (14) : 8166-8173
作者:  Mu, Cuicui;  Zhang, Tingjun;  Abbot, Benjamin W.;  Wang, Kang;  Ge, Shemin;  Sayedi, Sayedeh Sara;  Fan, Chengyan;  Peng, Xiaoqing
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
subsea permafrost  organic carbon  Arctic continental shelves  
Underestimated ecosystem carbon turnover time and sequestration under the steady state assumption: A perspective from long-term data assimilation 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (3) : 938-953
作者:  Ge, Rong;  He, Honglin;  Ren, Xiaoli;  Zhang, Li;  Yu, Guirui;  Smallman, T. Luke;  Zhou, Tao;  Yu, Shi-Yong;  Luo, Yiqi;  Xie, Zongqiang;  Wang, Silong;  Wang, Huimin;  Zhou, Guoyi;  Zhang, Qibin;  Wang, Anzhi;  Fan, Zexin;  Zhang, Yiping;  Shen, Weijun;  Yin, Huajun;  Lin, Luxiang
收藏  |  浏览/下载:13/0  |  提交时间:2019/04/09
carbon sequestration  climate sensitivity  non-steady state  steady state  turnover time  
Microbial and Geochronologic Constraints on the Neogene Paleotopography of Northern Tibetan Plateau 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (3) : 1312-1319
作者:  Zhuang, Guangsheng;  Zhang, Yi Ge;  Hourigan, Jeremy;  Ritts, Bradley;  Hren, Michael;  Hou, Mingqiu;  Wu, Minghao;  Kim, Bumsoo
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/26
Efficient and equitable allocation of renewable portfolio standards targets among China's provinces 期刊论文
ENERGY POLICY, 2019, 125: 170-180
作者:  Wang, Ge;  Zhang, Qi;  Li, Yan;  Mclellan, Benjamin C.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Target allocation  Renewable portfolio standard  Renewable energy development  China  
Interannual variability of terrestrial net ecosystem productivity over China: regional contributions and climate attribution 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (1)
作者:  Zhang, Li;  Ren, Xiaoli;  Wang, Junbang;  He, Honglin;  Wang, Shaoqiang;  Wang, Miaomiao;  Piao, Shilong;  Yan, Hao;  Ju, Weimin;  Gu, Fengxue;  Zhou, Lei;  Niu, Zhongen;  Ge, Rong;  Li, Yueyue;  Lv, Yan;  Yan, Huimin;  Huang, Mei;  Yu, Guirui
收藏  |  浏览/下载:11/0  |  提交时间:2019/04/09
climate change  interannual variability  net ecosystem productivity  biogeochemical modeling  ecosystem carbon dynamics