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A cold, massive, rotating disk galaxy 1.5 billion years after the Big Bang 期刊论文
NATURE, 2020, 581 (7808) : 269-+
作者:  Poplawski, Gunnar H. D.;  Kawaguchi, Riki;  Van Niekerk, Erna;  Lu, Paul;  Mehta, Neil;  Canete, Philip;  Lie, Richard;  Dragatsis, Ioannis;  Meves, Jessica M.;  Zheng, Binhai;  Coppola, Giovanni;  Tuszynski, Mark H.
收藏  |  浏览/下载:91/0  |  提交时间:2020/07/03

Massive disk galaxies like the Milky Way are expected to form at late times in traditional models of galaxy formation(1,2), but recent numerical simulations suggest that such galaxies could form as early as a billion years after the Big Bang through the accretion of cold material and mergers(3,4). Observationally, it has been difficult to identify disk galaxies in emission at high redshift(5,6) in order to discern between competing models of galaxy formation. Here we report imaging, with a resolution of about 1.3 kiloparsecs, of the 158-micrometre emission line from singly ionized carbon, the far-infrared dust continuum and the near-ultraviolet continuum emission from a galaxy at a redshift of 4.2603, identified by detecting its absorption of quasar light. These observations show that the emission arises from gas inside a cold, dusty, rotating disk with a rotational velocity of about 272 kilometres per second. The detection of emission from carbon monoxide in the galaxy yields a molecular mass that is consistent with the estimate from the ionized carbon emission of about 72 billion solar masses. The existence of such a massive, rotationally supported, cold disk galaxy when the Universe was only 1.5 billion years old favours formation through either cold-mode accretion or mergers, although its large rotational velocity and large content of cold gas remain challenging to reproduce with most numerical simulations(7,8).


A massive rotating disk galaxy was formed a mere 1.5 billion years after the Big Bang, a surprisingly short time after the origin of the Universe.


  
Short-range order and its impact on the CrCoNi medium-entropy alloy 期刊论文
NATURE, 2020, 581 (7808) : 283-+
作者:  Tan, Hwei-Ee;  Sisti, Alexander C.;  Jin, Hao;  Vignovich, Martin;  Villavicencio, Miguel;  Tsang, Katherine S.;  Goffer, Yossef;  Zuker, Charles S.
收藏  |  浏览/下载:27/0  |  提交时间:2020/07/03

Traditional metallic alloys are mixtures of elements in which the atoms of minority species tend to be distributed randomly if they are below their solubility limit, or to form secondary phases if they are above it. The concept of multiple-principal-element alloys has recently expanded this view, as these materials are single-phase solid solutions of generally equiatomic mixtures of metallic elements. This group of materials has received much interest owing to their enhanced mechanical properties(1-5). They are usually called medium-entropy alloys in ternary systems and high-entropy alloys in quaternary or quinary systems, alluding to their high degree of configurational entropy. However, the question has remained as to how random these solid solutions actually are, with the influence of short-range order being suggested in computational simulations but not seen experimentally(6,7). Here we report the observation, using energy-filtered transmission electron microscopy, of structural features attributable to short-range order in the CrCoNi medium-entropy alloy. Increasing amounts of such order give rise to both higher stacking-fault energy and hardness. These findings suggest that the degree of local ordering at the nanometre scale can be tailored through thermomechanical processing, providing a new avenue for tuning the mechanical properties of medium- and high-entropy alloys.


Metal alloys consisting of three or more major elemental components show enhanced mechanical properties, which are now shown to be correlated with short-range order observed with electron microscopy.


  
Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (23) : 13046-13073
作者:  Qian, Yun;  Wan, Hui;  Yang, Ben;  Golaz, Jean-Christophe;  Harrop, Bryce;  Hou, Zhangshuan;  Larson, Vincent E.;  Leung, L. Ruby;  Lin, Guangxing;  Lin, Wuyin;  Ma, Po-Lun;  Ma, Hsi-Yen;  Rasch, Phil;  Singh, Balwinder;  Wang, Hailong;  Xie, Shaocheng;  Zhang, Kai
收藏  |  浏览/下载:36/0  |  提交时间:2019/04/09
parametric sensitivity  uncertainty quantification  E3SM  PPE  short simulations  sensitivity analysis