Article
Chemistry, Physical
Mohamad Ghadban, Mayank Sabharwal, Campbell Rea, Xiaolin Li, Angela E. Goode, Maciah Smith, Carmen Murphy, Marc Secanell
Summary: By using realistic digital microstructures of cathodes, it was found that the conductivity of conductive additives has a larger impact on the effective electron conductivity of the electrodes. The morphology of the conductive binder domain also affects the effective conductivity, while nanoporosity within the binder can decrease tortuosity.
JOURNAL OF POWER SOURCES
(2023)
Review
Energy & Fuels
B. Jeevanantham, M. K. Shobana
Summary: Fossil fuel consumption has severe ecological effects on the world economy, making it important to develop environmentally friendly energy devices. Lithium-ion batteries offer high capacity and stability, but face challenges such as residual lithium deposition, ion mixing, and oxygen release. Doping and coating techniques can improve the efficiency and stability of the cathode, but there is no single solution to address all the drawbacks, necessitating the combination of multiple strategies.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Computer Science, Information Systems
Yaohong Tang, Weiqing Lin, Shungen Xiao, Kaihao Tang, Xiufang Lin
Summary: An electrical capacitance tomography (ECT) sensor is widely used in industrial fields for multiphase fluid object parameter detection. However, the uniformity defects of ECT sensors need to be addressed. This study proposes a method for compensating the measured value of ECT sensors based on the assumption of invariant geometric factor. Experiments show that the compensated ECT sensor has good monitoring effect and can be expected to perform well in practical use.
Article
Computer Science, Theory & Methods
Daniel Paulin, Ajay Jasra, Alexandros Beskos, Dan Crisan
Summary: The 4D-Var method is used for filtering partially observed nonlinear chaotic dynamical systems. It finds the maximum a-posteriori estimator of the initial condition given observations over a time window and propagates it forward using model dynamics. This method is crucial for weather forecasting systems. However, the optimization process becomes infeasible if the time window is too long. To address this issue, a Gaussian background distribution is used to incorporate observations from previous windows.
STATISTICS AND COMPUTING
(2022)
Article
Engineering, Marine
Evgeny Poplavsky, Alexandra Kuznetsova, Yuliya Troitskaya
Summary: This paper introduces a new method for retrieving parameters of the atmospheric boundary layer in hurricanes. The method approximates the upper parabolic part and retrieves the lower logarithmic part of the wind speed profile. Parameters such as friction velocity, near-surface wind speed, and aerodynamic drag coefficient are obtained based on the logarithmic part. These data are used to validate modeling data in the WRF-ARW model, with a particular focus on the case of the Irma hurricane. Different model configurations, including physical parameterizations, are tested to study the variations in wind profiles across various sectors of the hurricane.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Nuclear Science & Technology
Xiaohang Qu, Yi Zhang, Xiaoni Qi, Qianjian Guo
Summary: This study investigated three CFD methods for simulating gas injection into a liquid bath, with results showing that the inhomogeneous poly-dispersed model was more reliable compared to other models. The use of an inhomogeneous gas flow field and a lift force model with adjustable coefficients played a crucial role in accurately predicting gas injection into a liquid bath.
PROGRESS IN NUCLEAR ENERGY
(2021)
Article
Multidisciplinary Sciences
Maryam Hesari-Shermeh, Bijan Abbasi-Arand
Summary: This paper presents an efficient analysis of inhomogeneous substrated metasurfaces using the interaction constant method (ICM). The method calculates the total effective polarizability tensors of inhomogeneous substrated metasurfaces by considering the individual polarizabilities of each particle and the closed-form interaction coefficients. The accuracy of the numerical results is confirmed through comparisons with full-wave simulations. Additionally, the method is applied to the analysis of a wideband terahertz absorber.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Weihua Chen, Alex B. Guenther, Min Shao, Bin Yuan, Shiguo Jia, Jingying Mao, Fenghua Yan, Padmaja Krishnan, Xuemei Wang
Summary: Mitigation of ambient ozone pollution is challenging, and the background ozone in China has been evaluated. The average background ozone mixing ratios during clean and polluted seasons were determined. Biogenic volatile organic compounds emissions were found to be the primary contributor to the increase in background ozone in the polluted season compared to the clean season. The background ozone continuously increased during the study period, while non-background ozone stopped increasing after a certain point. Reductions in anthropogenic VOC emissions are needed to reverse the current ozone levels.
ENVIRONMENTAL POLLUTION
(2022)
Article
Mathematics, Applied
Jing Sun, Weihua Deng, Daxin Nie
Summary: In this paper, the integral fractional Laplacian is decomposed and discretized in one and two dimensions. The convergence in solving the inhomogeneous fractional Dirichlet problem is guaranteed by suitable corrections, and a convergence rate is obtained. Numerical experiments confirm the theoretical results.
NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Ensiyeh Ghasemi Mizuji, Bijan Abbasi Arand, Keyvan Forooraghi, Maryam Hesari-Shermeh
Summary: A new method is proposed to analyze multispectral inhomogeneous metasurfaces by considering arrays of periodic supercells and calculating local and total effective polarizabilities using closed-form relations. The method is evaluated for different arrays containing isotropic and bianisotropic particles, and compared to an HFSS simulator. The proposed method represents a step forward in analyzing and synthesizing inhomogeneous and multispectral metasurfaces.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Environmental Sciences
Amy L. DeCastro, Timothy W. Juliano, Branko Kosovic, Hamed Ebrahimian, Jennifer K. Balch
Summary: Disturbance events can occur faster than updates to wildland fire fuel data, leading to misleading predictions. Remote sensing and machine learning offer a solution for on-demand fuel estimation. This study demonstrates the use of synthetic aperture radar and multispectral imagery, along with land cover classes and tree mortality surveys, to train a classifier for estimating wildland fire fuel data in the East Troublesome Fire area of Colorado.
Article
Optics
Ziyuan Zheng, Chuanchuan Yang, Chun Yang, Ziyu Wang
Summary: As the transmission rate of data center short-reach optical transmissions increases, advanced FEC technology plays a key role in these systems. This study considers energy consumption models, probability distributions of flipping operation, and bit errors to analyze the power consumption of different coding strategies in various scenarios. The results show that certain coding strategies can achieve lower energy consumption in specific transmission scenarios and error correction thresholds.
Article
Thermodynamics
Hongwei Liu, Rui Yang
Summary: The error caused by measurement directly affects the accuracy of models. Failure to follow the Bryan principle in measuring the volumetric error of the machine tool leads to less than ideal geometric accuracy after compensation. This paper proposes that measurement error is caused by non-coincidence of measurement points and tool position points in linear axis error measurement. Based on the Bryan principle, the relationship between the center point of the reflective mirror of the laser interferometer and the tool position point is analyzed. The straightness error introduced in the measurement process is incorporated into the volumetric error of the machine tool, and a geometric model containing the measurement error is established to improve modeling accuracy. An experiment on a three-axis vertical machining center proves the effectiveness of compensating for measurement errors, with a 23% improvement in machine tool geometric accuracy.
ADVANCES IN MECHANICAL ENGINEERING
(2023)
Article
Physics, Applied
Vladimir Sokolovsky, Leonid Prigozhin
Summary: The numerical simulation of superconducting devices is important for understanding their principles and improving their design. We propose a new pseudospectral method for solving 2D superconducting strip problems, which demonstrates competitiveness as an alternative to finite element methods.
SUPERCONDUCTOR SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Lina Gao, Zhiquan Liu, Dan Chen, Peng Yan, Yong Zhang, Heng Hu, Hong Liang, Xudong Liang
Summary: The study evaluated the impact of GPS-ZTD data assimilation on meteorology and aerosol simulations over the North China Plain. The assimilation of ZTD data improved the underestimation of ground relative humidity and surface pressure, as well as reducing the underestimation of PM2.5 and overestimation of visibility.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Yu Zhang, Yuanfu Xie, Hongli Wang, Dehui Chen, Zoltan Toth
ADVANCES IN ATMOSPHERIC SCIENCES
(2016)
Article
Meteorology & Atmospheric Sciences
Yaodeng Chen, Hongli Wang, Jinzhong Min, Xiang-Yu Huang, Patrick Minnis, Ruizhi Zhang, Julie Haggerty, Rabindra Palikonda
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2015)
Article
Meteorology & Atmospheric Sciences
Ling-Feng Hsiao, Xiang-Yu Huang, Ying-Hwa Kuo, Der-Song Chen, Hongli Wang, Chin-Cheng Tsai, Tien-Chiang Yeh, Jing-Shan Hong, Chin-Tzu Fong, Cheng-Shang Lee
WEATHER AND FORECASTING
(2015)
Article
Meteorology & Atmospheric Sciences
Juanzhen Sun, Hongli Wang, Wenxue Tong, Ying Zhang, Chung-Yi Lin, Dongmei Xu
MONTHLY WEATHER REVIEW
(2016)
Article
Engineering, Ocean
Huizhen Yu, Hongli Wang, Zhiyong Meng, Mu Mu, Xiang-Yu Huang, Xin Zhang
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
(2017)
Article
Meteorology & Atmospheric Sciences
Junmei Ban, Zhiquan Liu, Xin Zhang, Xiang-Yu Huang, Hongli Wang
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY
(2017)
Article
Meteorology & Atmospheric Sciences
Yaodeng Chen, Jia Wang, Yufang Gao, Xiaomeng Chen, Hongli Wang, Xiang-Yu Huang
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN
(2018)
Article
Meteorology & Atmospheric Sciences
Tanya R. Peevey, Jason M. English, Lidia Cucurull, Hongli Wang, Andrew C. Kren
MONTHLY WEATHER REVIEW
(2018)
Article
Meteorology & Atmospheric Sciences
A. C. Kren, L. Cucurull, H. Wang
WEATHER AND FORECASTING
(2018)
Article
Meteorology & Atmospheric Sciences
Deming Meng, Yaodeng Chen, Hongli Wang, Yufang Gao, Roland Potthast, Yuanbing Wang
ATMOSPHERIC RESEARCH
(2019)
Article
Meteorology & Atmospheric Sciences
Feng Gao, Zhiquan Liu, Juhui Ma, Neil A. Jacobs, Peter P. Childs, Hongli Wang
MONTHLY WEATHER REVIEW
(2019)
Article
Meteorology & Atmospheric Sciences
Gary A. Wick, Jason P. Dunion, Peter G. Black, John R. Walker, Ryan D. Torn, Andrew C. Kren, Altug Aksoy, Hui Christophersen, Lidia Cucurull, Brittany Dahl, Jason M. English, Kate Friedman, Tanya R. Peevey, Kathryn Sellwood, Jason A. Sippel, Vijay Tallapragada, James Taylor, Hongli Wang, Robbie E. Hood, Philip Hall
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2020)
Article
Meteorology & Atmospheric Sciences
Tao Sun, Yaodeng Chen, Juanzhen Sun, Hongli Wang, Haiqin Chen, Yuanbing Wang, Deming Meng
MONTHLY WEATHER REVIEW
(2020)
Article
Meteorology & Atmospheric Sciences
Yaodeng Chen, Shan Guo, Deming Meng, Hongli Wang, Dongmei Xu, Yuanbing Wang, Jia Wang
ATMOSPHERIC RESEARCH
(2020)
Article
Meteorology & Atmospheric Sciences
Hongli Wang, Xie Yuanfu, Peter Childs, Fan Shui-Yong, Zhang Yue
ATMOSPHERIC AND OCEANIC SCIENCE LETTERS
(2018)