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arXiv 2023年

作者： Ricci, C. Ichikawa, K. Stalevski, M. Kawamuro, T. Yamada, S. Ueda, Y. Mushotzky, R. Privon, G.C. Koss, M.J. Trakhtenbrot, B. Fabian, A.C. Ho, L.C. Asmus, D. Bauer, F.E. Chang, C.S. Gupta, K.K. Oh, K. Powell, M. Pfeifle, R.W. Rojas, A. Ricci, F. Temple, M.J. Toba, Y. Tortosa, A. Treister, E. Harrison, F. Stern, D. Urry, C.M. Instituto de Estudios Astrofísicos Facultad de Ingeniería y Ciencias Universidad Diego Portales Avenida Ejercito Libertador 441 Santiago Chile Kavli Institute for Astronomy and Astrophysics Peking University Beijing100871 China Frontier Research Institute for Interdisciplinary Sciences Tohoku University Sendai980-8578 Japan Astronomical Observatory Volgina 7 Belgrade11060 Serbia Sterrenkundig Observatorium Universiteit Ghent Krijgslaan 281 S9 GhentB-9000 Belgium RIKEN Cluster for Pioneering Research 2-1 Hirosawa Saitama Wako351-0198 Japan Department of Astronomy Kyoto University Kitashirakawa -Oiwake-cho Sakyo-ku Kyoto606-8502 Japan Department of Astronomy University of Maryland College ParkMD20742 United States Joint Space-Science Institute University of Maryland College ParkMD20742 United States National Radio Astronomy Observatory 520 Edgemont Road CharlottesvilleVA22903 United States Department of Astronomy University of Florida P.O. Box 112055 GainesvilleFL32611 United States Eureka Scientific 2452 Delmer Street Suite 100 OaklandCA94602-3017 United States Space Science Institute 4750 Walnut Street Suite 205 BoulderCO80301 United States School of Physics and Astronomy Tel Aviv University Tel Aviv69978 Israel Institute of Astronomy Madingley Road CambridgeCB3 0HA United Kingdom Department of Astronomy School of Physics Peking University Beijing100871 China Department of Physics & Astronomy University of Southampton SouthamptonSO17 1BJ United Kingdom Gymnasium Schwarzenbek Schwarzenbek21493 Germany Instituto de Astrofísica Facultad de Física Pontificia Universidad Católica de Chile Campus San Joaquin Av. Vicuña Mackenna 4860 Macul Santiago 7820436 Chile Centro de Astroingeniería Facultad de Física Pontificia Universidad Católica de Chile Campus San Joaquin Av. Vicuña Mackenna 4860 Macul Santiago 7820436 Chile Millennium Institute of Astrophysics Nuncio Monseñor Sótero Sanz 100 Of 104 Providencia Santiago Chil

Accreting supermassive black holes (SMBHs) located at the center of galaxies are typically surrounded by large quantities of gas and dust. The structure and evolution of this circumnuclear material can be studied at different wavelengths, from the submillimeter to the X-rays. Recent X-ray studies have shown that the covering factor of the obscuring material tends to decrease with increasing Eddington ratio, likely due to radiative feedback on dusty gas. Here we study a sample of 549 nearby (z. 0.1) hard X-ray (14-195 keV) selected non-blazar active galactic nuclei (AGN), and use the ratio between the AGN infrared and bolometric luminosity as a proxy of the covering factor. We find that, in agreement with what has been found by X-ray studies of the same sample, the covering factor decreases with increasing Eddington ratio. We also confirm previous findings which showed that obscured AGN typically have larger covering factors than unobscured sources. Finally, we find that the median covering factors of AGN located in different regions of the column density-Eddington ratio diagram are in good agreement with what would be expected from a radiation-regulated growth of SMBHs. Copyright © 2023, The Authors. All rights reserved.

关键词： Active Galactic Nuclei

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Multiplicity-dependent jet modification from di-hadron correlations in pp collisions at = 13 TeV

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Journal of High Energy Physics 2025年第3期2025卷 1-32页

作者： Acharya, S. Agarwal, A. Aglieri Rinella, G. Aglietta, L. Agnello, M. Agrawal, N. Ahammed, Z. Ahmad, S. Ahn, S. U. Ahuja, I. Akindinov, A. Akishina, V. Al-Turany, M. Aleksandrov, D. Alessandro, B. Alfanda, H. M. Alfaro Molina, R. Ali, B. Alici, A. Alizadehvandchali, N. Alkin, A. Alme, J. Alocco, G. Alt, T. Altamura, A. R. Altsybeev, I. Alvarado, J. R. Alvarez, C. O. R. Anaam, M. N. Andrei, C. Andreou, N. Andronic, A. Andronov, E. Anguelov, V. Antinori, F. Antonioli, P. Apadula, N. Aphecetche, L. Appelshäuser, H. Arata, C. Arcelli, S. Arnaldi, R. Arneiro, J. G. M. C. A. Arsene, I. C. Arslandok, M. Augustinus, A. Averbeck, R. Averyanov, D. Azmi, M. D. Baba, H. Badalà, A. Bae, J. Baek, Y. W. Bai, X. Bailhache, R. Bailung, Y. Bala, R. Balbino, A. Baldisseri, A. Balis, B. Banoo, Z. Barbasova, V. Barile, F. Barioglio, L. Barlou, M. Barman, B. Barnaföldi, G. G. Barnby, L. S. Barreau, E. Barret, V. Barreto, L. Bartels, C. Barth, K. Bartsch, E. Bastid, N. Basu, S. Batigne, G. Battistini, D. Batyunya, B. Bauri, D. Bazo Alba, J. L. Bearden, I. G. Beattie, C. Becht, P. Behera, D. Belikov, I. Bell Hechavarria, A. D. C. Bellini, F. Bellwied, R. Belokurova, S. Beltran, L. G. E. Beltran, Y. A. V. Bencedi, G. Bensaoula, A. Beole, S. Berdnikov, Y. Berdnikova, A. Bergmann, L. Besoiu, M. G. Betev, L. Bhaduri, P. P. Bhasin, A. Bhattacharjee, B. Bianchi, L. Bielčík, J. Bielčíková, J. Bigot, A. P. Bilandzic, A. Biro, G. Biswas, S. Bize, N. Blair, J. T. Blau, D. Blidaru, M. B. Bluhme, N. Blume, C. Boca, G. Bock, F. Bodova, T. Bok, J. Boldizsár, L. Bombara, M. Bond, P. M. Bonomi, G. Borel, H. Borissov, A. Borquez Carcamo, A. G. Botta, E. Bouziani, Y. E. M. Bratrud, L. Braun-Munzinger, P. Bregant, M. Broz, M. Bruno, G. E. Buchakchiev, V. D. Buckland, M. D. Budnikov, D. Buesching, H. Bufalino, S. Buhler, P. Burmasov, N. Buthelezi, Z. Bylinkin, A. Bysiak, S. A. Cabanillas Noris, J. C. Cabrera, M. F. T. Cai, M. Caines, H. Caliva, A. Calvo Villar, E. Camacho, J. M. M. Camerini, P. Canedo, F. D. M. Cantway, S. L. Carabas, M. Carballo, A. A. Car Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France Variable Energy Cyclotron Centre Homi Bhabha National Institute Kolkata India European Organization for Nuclear Research (CERN) Geneva Switzerland Dipartimento di Fisica dell’Università and Sezione INFN Turin Italy Dipartimento DISAT del Politecnico and Sezione INFN Turin Italy Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN Bologna Italy Department of Physics Aligarh Muslim University Aligarh India Korea Institute of Science and Technology Information Daejeon Republic of Korea Faculty of Science P.J. Šafárik University Košice Slovak Republic Frankfurt Institute for Advanced Studies Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt Germany INFN Sezione di Torino Turin Italy Central China Normal University Wuhan China Instituto de Física Universidad Nacional Autónoma de México Mexico City Mexico University of Houston Houston United States Sungkyunkwan University Suwon City Republic of Korea Department of Physics and Technology University of Bergen Bergen Norway INFN Sezione di Cagliari Cagliari Italy Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany INFN Sezione di Bari Bari Italy Physik Department Technische Universität München Munich Germany High Energy Physics Group Universidad Autónoma de Puebla Puebla Mexico Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest Romania University of Derby Derby United Kingdom Universität Münster Institut für Kernphysik Münster Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany INFN Sezione di Padova Padova Italy INFN Sezione di Bologna Bologna Italy Lawrence Berkeley National Laboratory Berkeley United States SUBATECH IMT Atlantique Nantes Université CNRS-IN2P3 Nantes France Laboratoire

Short-range correlations between charged particles are studied via two-particle angular correlations in pp collisions at $$ \sqrt{s} $$ = 13 TeV. The correlation functions are measured as a function of the relative azimuthal angle ∆φ and the pseudorapidity separation ∆η for pairs of primary charged particles within the pseudorapidity interval |η| < 0.9 and the transverse-momentum range 1 < pT < 8 GeV/c. Near-side (|∆φ| < 1.3) peak widths are extracted from a generalised Gaussian fitted over the correlations in full pseudorapidity separation (|∆η| < 1.8), while the per-trigger associated near-side yields are extracted for the short-range correlations (|∆η| < 1.3). Both are evaluated as a function of charged-particle multiplicity obtained by two different event activity estimators. The width of the near-side peak decreases with increasing multiplicity, and this trend is reproduced qualitatively by the Monte Carlo event generators PYTHIA 8, AMPT, and EPOS. However, the models overestimate the width in the low transverse-momentum region (pT < 3 GeV/c). The per-trigger associated near-side yield increases with increasing multiplicity. Although this trend is also captured qualitatively by the considered event generators, the yield is mostly overestimated by the models in the considered kinematic range. The measurement of the shape and yield of the short-range correlation peak can help us understand the interplay between jet fragmentation and event activity, quantify the narrowing trend of the near-side peak as a function of transverse momentum and multiplicity selections in pp collisions, and search for final-state jet modification in small collision systems.

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Influence of boundaries and thermostatting on nonequilibrium molecular dynamics simulations of heat conduction in solids

arXiv

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arXiv 2019年

作者： Li, Zhen Xiong, Shiyun Sievers, Charles Hu, Yue Fan, Zheyong Wei, Ning Bao, Hua Chen, Shunda Donadio, Davide Ala-Nissila, Tapio Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology Jiangnan University Wuxi214122 China Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou215123 China Department of Chemistry University of California at Davis One Shields Avenue DavisCA95616 United States University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China School of Mathematics and Physics Bohai University Jinzhou China QTF Centre of Excellence Department of Applied Physics Aalto University Aalto EspooFI-00076 Finland University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China Centre for Interdisciplinary Mathematical Modeling Department of Mathematical Sciences Loughborough University Loughborough LeicestershireLE11 3TU United Kingdom

Nonequilibrium molecular dynamics (NEMD) has been extensively used to study thermal transport at various length scales in many materials. In this method, two local thermostats at different temperatures are used to generate a nonequilibrium steady state with a constant heat flux. Conventionally, the thermal conductivity of a finite system is calculated as the ratio between the heat flux and the temperature gradient extracted from the linear part of the temperature profile away from the local thermostats. Here we show that, with a proper choice of the thermostat, the nonlinear part of the temperature profile should actually not be excluded in thermal transport calculations. We compare NEMD results against those from the atomistic Green's function method in the ballistic regime, and those from the homogeneous nonequilibrium molecular dynamics method in the ballistic-to-diffusive regime. These comparisons suggest that in all the transport regimes, one should directly calculate the thermal conductance from the temperature difference between the heat source and sink and, if needed, convert it to the thermal conductivity by multiplying it with the system length. Furthermore, we find that the Langevin thermostat outperforms the Nosé-Hoover (chain) thermostat in NEMD simulations because of its stochastic and local nature. We show that this is particularly important for studying asymmetric carbon-based nanostructures, for which the Nosé-Hoover thermostat can produce artifacts leading to unphysical thermal rectification. Our findings are important to obtain correct results from molecular dynamics simulations of nanoscale heat transport as the accuracy of the interatomic potentials is rapidly improving. Copyright © 2019, The Authors. All rights reserved.

关键词： Thermostats

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Multireference alignment is easier with an aperiodic translation distribution

arXiv

引用

arXiv 2017年

作者： Abbe, Emmanuel Bendory, Tamir Leeb, William Pereira, João M. Sharon, Nir Singer, Amit Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States Electrical Engineering Department Princeton University PrincetonNJ United States Department of Mathematics Princeton University PrincetonNJ United States

In the multireference alignment model, a signal is observed by the action of a random circular translation and the addition of Gaussian noise. The goal is to recover the signal's orbit by accessing multiple independent observations. Of particular interest is the sample complexity, i.e., the number of observations/samples needed in terms of the signal-to-noise ratio (the signal energy divided by the noise variance) in order to drive the mean-square error (MSE) to zero. Previous work showed that if the translations are drawn from the uniform distribution, then, in the low SNR regime, the sample complexity of the problem scales as ω(1/SNR3). In this work, using a generalization of the Chapman-Robbins bound for orbits and expansions of the X2divergence at low SNR, we show that in the same regime the sample complexity for any aperiodic translation distribution scales as ω(1/SNR2). This rate is achieved by a simple spectral algorithm. We propose two additional algorithms based on non-convex optimization and expectation-maximization. We also draw a connection between the multireference alignment problem and the spiked covariance model. Copyright © 2017, The Authors. All rights reserved.

关键词： Maximum principle

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A search for pulsars around SgrA∗ in the first Event Horizon Telescope dataset

arXiv

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arXiv 2023年

作者： Torne, Pablo Liu, Kuo Eatough, Ralph P. Wongphechauxsorn, Jompoj Cordes, James M. Desvignes, Gregory De Laurentis, Mariafelicia Kramer, Michael Ransom, Scott M. Chatterjee, Shami Wharton, Robert Karuppusamy, Ramesh Blackburn, Lindy Janssen, Michael Chan, Chi-Kwan Crew, Geoffrey B. Matthews, Lynn D. Goddi, Ciriaco Rottmann, Helge Wagner, Jan Sánchez, Salvador Ruiz, Ignacio Institut de Radioastronomie Millimétrique Avenida Divina Pastora 7 Local 20 GranadaE-18012 Spain Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany National Astronomical Observatories Chinese Academy of Sciences 20A Datun Road Chaoyang District Beijing100101 China Cornell Center for Astrophysics and Planetary Science Cornell University IthacaNY14853 United States Lesia Observatoire de Paris Université Psl Cnrs Sorbonne Université Université de Paris 5 place Jules Janssen Meudon92195 France Dipartimento di Fisica 'E. Pancini' Universitá di Napoli 'Federico II' Compl. Univ. di Monte S. Angelo Edificio G Via Cinthia NapoliI-80126 Italy Institut für Theoretische Physik Goethe-Universität Frankfurt Max-von-Laue-Strase 1 Frankfurt am MainD-60438 Germany Infn Sez. di Napoli Compl. Univ. di Monte S. Angelo Edificio G Via Cinthia NapoliI-80126 Italy Jodrell Bank Centre for Astrophysics School of Physics and Astronomy The University of Manchester ManchesterM13 9PL United Kingdom National Radio Astronomy Observatory 520 Edgemont Road CharlottesvilleVA22903 United States Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Black Hole Initiative Harvard University 20 Garden Street CambridgeMA02138 United States Center for Astrophysics Harvard & Smithsonian 60 Garden Street CambridgeMA02138 United States Steward Observatory Department of Astronomy University of Arizona 933 N. Cherry Ave. TucsonAZ85721 United States Data Science Institute University of Arizona 1230 N. Cherry Ave. TucsonAZ85721 United States Program in Applied Mathematics University of Arizona 617 N. Santa Rita TucsonAZ85721 United States Massachusetts Institute of Technology Haystack Observatory 99 Millstone Road WestfordMA01886 United States Instituto de Astronomia Geofísica e Ciências Atmosféricas Universidade de São Paulo R. do Matão 1226 SP São Paulo05508-090 Brazil Dipartimento di Fisica

The Event Horizon Telescope (EHT) observed in 2017 the supermassive black hole at the center of the Milky Way, Sagittarius A∗ (Sgr A∗), at a frequency of 228.1 GHz (λ = 1.3 mm). The fundamental physics tests that even a single pulsar orbiting Sgr A∗ would enable motivate searching for pulsars in EHT datasets. The high observing frequency means that pulsars - which typically exhibit steep emission spectra - are expected to be very faint. However, it also negates pulse scattering, an effect that could hinder pulsar detections in the Galactic Center. Additionally, magnetars or a secondary inverse Compton emission could be stronger at millimeter wavelengths than at lower frequencies. We present a search for pulsars close to Sgr A∗ using the data from the three most-sensitive stations in the EHT 2017 campaign: the Atacama Large Millimeter/submillimeter Array, the Large Millimeter Telescope and the IRAM 30m Telescope. We apply three detection methods based on Fourier-domain analysis, the Fast-Folding-Algorithm and single pulse search targeting both pulsars and burst-like transient emission;using the simultaneity of the observations to confirm potential candidates. No new pulsars or significant bursts were found. Being the first pulsar search ever carried out at such high radio frequencies, we detail our analysis methods and give a detailed estimation of the sensitivity of the search. We conclude that the EHT 2017 observations are only sensitive to a small fraction ( 2.2%) of the pulsars that may exist close to Sgr A∗, motivating further searches for fainter pulsars in the region. © 2023, CC BY.

关键词： Inverse problems

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Reinforced dynamics for enhanced sampling in large atomic and molecular systems

arXiv

引用

arXiv 2017年

作者： Zhang, Linfeng Wang, Han Weinan, E. Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Institute of Applied Physics and Computational Mathematics Fenghao East Road 2 Beijing100094 China CAEP Software Center for High Performance Numerical Simulation Huayuan Road 6 Beijing100088 China Department of Mathematics and Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Beijing Institute of Big Data Research Beijing100871 China

A new approach for efficiently exploring the configuration space and computing the free energy of large atomic and molecular systems is proposed, motivated by an analogy with reinforcement learning. There are two major components in this new approach. Like metadynamics, it allows for an efficient exploration of the configuration space by adding an adaptively computed biasing potential to the original dynamics. Like deep reinforcement learning, this biasing potential is trained on the fly using deep neural networks, with data collected judiciously from the exploration and an uncertainty indicator from the neural network model playing the role of the reward function. Parameterization using neural networks makes it feasible to handle cases with a large set of collective variables. This has the potential advantage that selecting precisely the right set of collective variables has now become less critical for capturing the structural transformations of the system. The method is illustrated by studying the full-atom, explicit solvent models of alanine dipeptide and tripeptide, as well as the system of a polyalanine-10 molecule with 20 collective variables. Copyright © 2017, The Authors. All rights reserved.

关键词： Wave functions

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Gait transitions in a phase oscillator model of an insect central pattern generator

arXiv

引用

arXiv 2017年

作者： Aminzare, Zahra Srivastava, Vaibhav Holmes, Philip Program in Applied and Computational Mathematics Department of Mechanical and Aerospace Engineering Princeton University NJ United States Department of Electrical and Computer Engineering Michigan State University LansingMI United States Program in Applied and Computational Mathematics Department of Mechanical and Aerospace Engineering Princeton Neuroscience Institute Princeton University NJ United States

Legged locomotion involves various gaits. It has been observed that fast running insects (cockroaches) employ a tripod gait with three legs lifted off the ground simultaneously in swing, while slow walking insects (stick insects) use a tetrapod gait with two legs lifted off the ground simultaneously. Fruit flies use both gaits and exhibit a transition from tetrapod to tripod at intermediate speeds. Here we study the effect of stepping frequency on gait transition in an ion-channel bursting neuron model in which each cell represents a hemi-segmental thoracic circuit of the central pattern generator. Employing phase reduction, we collapse the network of bursting neurons represented by 24 ordinary differential equations to 6 coupled nonlinear phase oscillators, each corresponding to a sub-network of neurons controlling one leg. Assuming that the left and right legs maintain constant phase differences (contralateral symmetry), we reduce from 6 equations to 3, allowing analysis of a dynamical system with 2 phase differences defined on a torus. We show that bifurcations occur from multiple stable tetrapod gaits to a unique stable tripod gait as speed increases. Finally, we consider gait transitions in two sets of data fitted to freely walking fruit flies.34C16, 34C60, 37G10, 92B20, 92C2034C16, 34C60, 37G10, 92B20, 92C20 Copyright © 2017, The Authors. All rights reserved.

关键词： Bifurcation (mathematics)

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Sea-ice distribution and mixed-layer depths in fram strait

arXiv

引用

arXiv 2017年

作者： Agarwal, Sahil Grae Worster, M. Program in Applied Mathematics Yale University New Haven United States Institute of Theoretical Geophysics Department of Applied Mathematics and Theoretical Physics University of Cambridge Wilberforce Road CambridgeCB3 0WA United Kingdom

In an effort to understand the dynamics of the Arctic sea-ice edge, we present a simple model of heat and mass transfer in the Fram Strait that reveals some fundamental mechanisms controlling sea-ice extent in the marginal seas and the depth and properties of the Arctic mixed layer. We identify and study key mechanisms relating to the sea-ice wedge described by Untersteiner, a boundary-layer structure near the ice edge, demonstrating how ice thickness and extent depend on ice-export rates, atmospheric forcing and the properties of incoming warm and salty Atlantic water in the West Spitsbergen Current. Our time-dependent results demonstrate a seasonal asymmetry between the rates of ice advance and retreat and explain the significant variations in the Southerly extent of sea ice across the Fram Strait, with a long ice tongue corresponding with the East Greenland Current. Our simple model indicates that thinning of the Arctic sea-ice cover will lead to warming and freshening of the North Atlantic, which would give a de-stabilizing feedback to the Arctic ice cover, leading to a slowdown of the Atlantic Meridional Overturning Circulation. Copyright © 2017, The Authors. All rights reserved.

关键词： Sea ice

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Equivalence of the equilibrium and the nonequilibrium molecular dynamics methods for thermal conductivity calculations: From bulk to nanowire silicon

arXiv

引用

arXiv 2018年

作者： Dong, Haikuan Fan, Zheyong Shi, Libin Harju, Ari Ala-Nissila, Tapio School of Mathematics and Physics Bohai University Jinzhou China School of Materials Science and Engineering Liaoning University of Technology Jinzhou China QTF Centre of Excellence Department of Applied Physics Aalto University AaltoFI-00076 Finland Center for Interdisciplinary Mathematical Modeling Departments of Mathematical Sciences and Physics Loughborough University Loughborough LeicestershireLE11 3TU United Kingdom

Molecular dynamics simulations play an important role in studying heat transport in complex materials. The lattice thermal conductivity can be computed either using the Green-Kubo formula in equilibrium MD (EMD) simulations or using Fourier's law in nonequilibrium MD (NEMD) simulations. These two methods have not been systematically compared for materials with different dimensions and inconsistencies between them have been occasionally reported in the literature. Here we give an in-depth comparison of them in terms of heat transport in three allotropes of Si: three dimensional bulk silicon, two-dimensional silicene, and quasi-one-dimensional silicon nanowire. By multiplying the correlation time in the Green-Kubo formula with an appropriate effective group velocity, we can express the running thermal conductivity in the EMD method as a function of an effective length and directly compare it with the length-dependent thermal conductivity in the NEMD method. We find that the two methods quantitatively agree with each other for all the systems studied, firmly establishing their equivalence in computing thermal conductivity. Copyright © 2018, The Authors. All rights reserved.

关键词： Thermal conductivity

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EDITORIAL: BIG DATA MINING APPROACHES FOR HELPING TO REDUCE AND PREVENT GLOBAL WARMING

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International Journal of Big Data Mining for Global Warming 2019年第1期1卷

作者： DONALD HUISINGH ZHIHUA ZHANG Institute for a Secure and Sustainable Environment University of Tennessee Knoxville TN USA Climate Modeling Laboratory Department of Applied Mathematics and Interdisciplinary Science Center Shandong University Jinan P. R. China MOE Key Laboratory of Environmental Change and Natural Disaster Beijing Normal University Beijing 100875 P. R. China

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