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Managing climate refugia for freshwater fishes under an expanding human footprint 期刊论文
FRONTIERS IN ECOLOGY AND THE ENVIRONMENT, 2020, 18 (5) : 271-280
作者:  Ebersole, Joseph L.;  Quinones, Rebecca M.;  Clements, Shaun;  Letcher, Benjamin H.
收藏  |  浏览/下载:9/0  |  提交时间:2020/06/09
Haze pollution under a high atmospheric oxidization capacity in summer in Beijing: insights into formation mechanism of atmospheric physicochemical processes 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (8) : 4575-4592
作者:  Zhao, Dandan;  Liu, Guangjing;  Xin, Jinyuan;  Quan, Jiannong;  Wang, Yuesi;  Wang, Xin;  Dai, Lindong;  Gao, Wenkang;  Tang, Guiqian;  Hu, Bo;  Ma, Yongxiang;  Wu, Xiaoyan;  Wang, Lili;  Liu, Zirui;  Wu, Fangkun
收藏  |  浏览/下载:10/0  |  提交时间:2020/05/13
Observed Emergence of the Climate Change Signal: From the Familiar to the Unknown 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (6)
作者:  Hawkins, E.;  Frame, D.;  Harrington, L.;  Joshi, M.;  King, A.;  Rojas, M.;  Sutton, R.
收藏  |  浏览/下载:14/0  |  提交时间:2020/07/02
emergence  signal-to-noise  temperature  rainfall  observations  extremes  
Methanethiol, dimethyl sulfide and acetone over biologically productive waters in the southwest Pacific Ocean 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (5) : 3061-3078
作者:  Lawson, Sarah J.;  Law, Cliff S.;  Harvey, Mike J.;  Bell, Thomas G.;  Walker, Carolyn F.;  de Bruyn, Warren J.;  Saltzman, Eric S.
收藏  |  浏览/下载:12/0  |  提交时间:2020/08/18
Sensitivity of Meteorological Skill to Selection of WRF-Chem Physical Parameterizations and Impact on Ozone Prediction During the Lake Michigan Ozone Study (LMOS) 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (5)
作者:  Abdi-Oskouei, M.;  Carmichael, G.;  Christiansen, M.;  Ferrada, G.;  Roozitalab, B.;  Sobhani, N.;  Wade, K.;  Czarnetzki, A.;  Pierce, R. B.;  Wagner, T.;  Stanier, C.
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02
Methanethiol, dimethyl sulfide and acetone over biologically productive waters in the southwest Pacific Ocean 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (5) : 3061-3078
作者:  Lawson, Sarah J.;  Law, Cliff S.;  Harvey, Mike J.;  Bell, Thomas G.;  Walker, Carolyn F.;  de Bruyn, Warren J.;  Saltzman, Eric S.
收藏  |  浏览/下载:17/0  |  提交时间:2020/05/13
Evaluation of NU-WRF model performance on air quality simulation under various model resolutions - an investigation within the framework of MICS-Asia Phase III 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (4) : 2319-2339
作者:  Tao, Zhining;  Chin, Mian;  Gao, Meng;  Kucsera, Tom;  Kim, Dongchul;  Bian, Huisheng;  Kurokawa, Jun-ichi;  Wang, Yuesi;  Liu, Zirui;  Carmichael, Gregory R.;  Wang, Zifa;  Akimoto, Hajime
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/02
Classification with a disordered dopantatom network in silicon 期刊论文
NATURE, 2020, 577 (7790) : 341-+
作者:  Vagnozzi, Ronald J.;  Maillet, Marjorie;  Sargent, Michelle A.;  Khalil, Hadi;  Johansen, Anne Katrine Z.;  Schwanekamp, Jennifer A.;  York, Allen J.;  Huang, Vincent;  Nahrendorf, Matthias;  Sadayappan, Sakthivel;  Molkentin, Jeffery D.
收藏  |  浏览/下载:23/0  |  提交时间:2020/07/03

Classification is an important task at which both biological and artificial neural networks excel(1,2). In machine learning, nonlinear projection into a high-dimensional feature space can make data linearly separable(3,4), simplifying the classification of complex features. Such nonlinear projections are computationally expensive in conventional computers. A promising approach is to exploit physical materials systems that perform this nonlinear projection intrinsically, because of their high computational density(5), inherent parallelism and energy efficiency(6,7). However, existing approaches either rely on the systems'  time dynamics, which requires sequential data processing and therefore hinders parallel computation(5,6,8), or employ large materials systems that are difficult to scale up(7). Here we use a parallel, nanoscale approach inspired by filters in the brain(1) and artificial neural networks(2) to perform nonlinear classification and feature extraction. We exploit the nonlinearity of hopping conduction(9-11) through an electrically tunable network of boron dopant atoms in silicon, reconfiguring the network through artificial evolution to realize different computational functions. We first solve the canonical two-input binary classification problem, realizing all Boolean logic gates(12) up to room temperature, demonstrating nonlinear classification with the nanomaterial system. We then evolve our dopant network to realize feature filters(2) that can perform four-input binary classification on the Modified National Institute of Standards and Technology handwritten digit database. Implementation of our material-based filters substantially improves the classification accuracy over that of a linear classifier directly applied to the original data(13). Our results establish a paradigm of silicon-based electronics for smallfootprint and energy-efficient computation(14).


  
Coherent laser spectroscopy of highly charged ions using quantum logic 期刊论文
NATURE, 2020, 578 (7793) : 60-+
作者:  Oh, Myoung Hwan;  Cho, Min Gee;  Chung, Dong Young;  Park, Inchul;  Kwon, Youngwook Paul;  Ophus, Colin;  Kim, Dokyoon;  Kim, Min Gyu;  Jeong, Beomgyun;  Gu, X. Wendy;  Jo, Jinwoung;  Yoo, Ji Mun;  Hong, Jaeyoung;  McMains, Sara;  Kang, Kisuk;  Sung, Yung-Eun;  Alivisatos, A. Paul;  Hyeon, Taeghwan
收藏  |  浏览/下载:52/0  |  提交时间:2020/07/03

Precision spectroscopy of atomic systems(1) is an invaluable tool for the study of fundamental interactions and symmetries(2). Recently, highly charged ions have been proposed to enable sensitive tests of physics beyond the standard model(2-5) and the realization of high-accuracy atomic clocks(3,5), owing to their high sensitivity to fundamental physics and insensitivity to external perturbations, which result from the high binding energies of their outer electrons. However, the implementation of these ideas has been hindered by the low spectroscopic accuracies (of the order of parts per million) achieved so far(6-8). Here we cool trapped, highly charged argon ions to the lowest temperature reported so far, and study them using coherent laser spectroscopy, achieving an increase in precision of eight orders of magnitude. We use quantum logic spectroscopy(9,10) to probe the forbidden optical transition in Ar-40(13+) at a wavelength of 441 nanometres and measure its excited-state lifetime and g-factor. Our work unlocks the potential of highly charged ions as ubiquitous atomic systems for use in quantum information processing, as frequency standards and in highly sensitive tests of fundamental physics, such as searches for dark-matter candidates(11) or violations of fundamental symmetries(2).


The precision of laser spectroscopy of highly charged ions is improved by eight orders of magnitude by cooling trapped, highly charged ions and using quantum logic spectroscopy, thereby enabling tests of fundamental physics.


  
Winter thermal comfort and health in the elderly 期刊论文
ENERGY POLICY, 2019, 134
作者:  Hughes, Caroline;  Natarajan, Sukumar;  Liu, Chunde;  Chung, Woong June;  Herrera, Manuel
收藏  |  浏览/下载:7/0  |  提交时间:2020/02/17
Ageing population  Thermal comfort  Winter heating  Temperature standards  Health