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arXiv 2020年

作者： Cui, Jin Xu, Zhuangzhi Wang, Yushun Jiang, Chaolong Department of Basic Sciences Nanjing Vocational College of Information Technology Nanjing210023 China Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems School of Mathematical Sciences Nanjing Normal University Nanjing210023 China Department of Mathematics College of Liberal Arts and Science National University of Defense Technology Changsha410073 China School of Statistics and Mathematics Yunnan University of Finance and Economics Kunming650221 China

In this paper, a family of arbitrarily high-order structure-preserving exponential Runge-Kutta methods is developed for the nonlinear Schrödinger equation by combing the scalar auxiliary variable approach and the exponential Runge-Kutta method. By introducing an auxiliary variable, we first transform the original model into an equivalent system which admits both mass and modified energy. Then applying the Lawson method and the symplectic Runge-Kutta method in time, we derive a class of mass- and energy-conserving time-discrete schemes. numerical experiments are addressed to demonstrate the accuracy and effectiveness of the newly proposed schemes. Copyright © 2020, The Authors. All rights reserved.

关键词： Runge Kutta methods

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Arbitrary high-order linear structure-preserving schemes for the regularized long-wave equation

arXiv

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arXiv 2021年

作者： Jiang, Chaolong Qian, Xu Song, Songhe Cui, Jin Department of Mathematics College of Liberal Arts and Science National University of Defense Technology Changsha410073 China School of Statistics and Mathematics Yunnan University of Finance and Economics Kunming650221 China Department of Basic Sciences Nanjing Vocational College of Information Technology Nanjing210023 China Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems School of Mathematical Sciences Nanjing Normal University Nanjing210023 China

In this paper, a class of arbitrarily high-order linear momentum-preserving and energy-preserving schemes are proposed, respectively, for solving the regularized long-wave equation. For the momentum-preserving scheme, the key idea is based on the extrapolation/prediction-correction technique and the symplectic Runge-Kutta method in time, together with the standard Fourier pseudo-spectral method in space. We show that the scheme is linear, high-order, unconditionally stable and preserves the discrete momentum of the system. For the energy-preserving scheme, it is mainly based on the energy quadratization approach and the analogous linearized strategy used in the construction of the linear momentum-preserving scheme. The proposed scheme is linear, high-order and can preserve a discrete quadratic energy exactly. numerical results are addressed to demonstrate the accuracy and efficiency of the proposed scheme. Copyright © 2021, The Authors. All rights reserved.

关键词： Runge Kutta methods

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Study ofBs⟶ϕℓ+ℓ−Decays in the PQCD Factorization Approach with Lattice QCD Input

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Advances in High Energy Physics 2021年第1期2021卷

作者： Su-Ping Jin Zhen-Jun Xiao Department of Physics and Institute of Theoretical Physics Nanjing Normal University Nanjing Jiangsu 210023 *** Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems Nanjing Normal University Nanjing 210023 ***

In this paper, we studied systematically the semileptonic decays B s ⟶ ϕ l + l − with l − = ( e − , μ − , τ − ) by using the perturbative QCD (PQCD) and the “PQCD+Lattice” factorization approach, respectively. We first evaluated all relevant form factors F i ( q 2 ) in the low- q 2 region using the PQCD approach, and we also took the available lattice QCD results at the high- q 2 region as additional input to improve the extrapolation of F i ( q 2 ) from the low- q 2 region to the endpoint . We then calculated the branching ratios and many other physical observables , , S 3,4,7 , and A 5,6,8,9 and the clean angular observables P 1,2,3 and . From our studies, we find the following points: (a) the PQCD and “PQCD+Lattice” predictions of are about 7 × 10 −7 , which agree well with the LHCb measured values and the QCD sum rule prediction within still large errors; (b) we defined and calculated the ratios of the branching ratios and ; (c) the PQCD and “PQCD+Lattice” predictions of the longitudinal polarization F L , the CP-averaged angular coefficients S 3,4,7 , and the CP asymmetry angular coefficients A 5,6,8,9 agree with the LHCb measurements in all considered bins within the still large experimental errors; and (d) for those currently still unknown observables , and , we suggest LHCb and Belle-II Collaboration to measure them in their experiments.

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Generation of orthogonal curvilinear grids on the sphere surface based on Laplace-Beltrami equations

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IOP Conference Series: Earth and Environmental Science 2014年第1期19卷

作者： Fuqiang Lu Zhiyao Song Xin Fang Key Laboratory of Virtual Geographic Environment (Ministry of Education) Nanjing Normal UniversityNanjing Jiangsu Province 210046 China AA(Jiangsu Provincial Key Laboratory for Numerical Simulation of Large Scale Complex Systems School of Mathematical Sciences Nanjing Normal University Nanjing 210046 China

In this paper, Laplace-Beltrami equations are used to generate orthogonal curvilinear grids on the sphere for ocean models. In addition to overcoming the pole-problem, the grid configuration has quasi-uniform cell-size on the whole sphere. Some quantities such as the grid length along two directions, the angle deviation from orthogonality, the area of the cell to evaluate the quality of the grid, which demonstrate the grid produced is fit to be a model grid on which the finite difference method or finite volume method can be implemented for numerical simulating of global atmosphere and ocean dynamics on large scale.

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Non-Rigid Metal–Oxygen Bonding Empowered Nitrate Reduction on Ruthenium Catalysts

SSRN

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SSRN 2024年

作者： Wang, Suwen Zhuang, Zechao Xu, Jiawei Fu, Cheng Qiu, Zhen Feng, Huajun Xiang, Hai Chen, Zuliang Li, Hui Zhang, Lei Li, Yongfu Cai, Yanjiang Ma, Tianyi Yu, Bing State Key Laboratory of Subtropical Silviculture Zhejiang A&F University Hangzhou311300 China Zhejiang A&F University Hangzhou311300 China Department of Chemistry Tsinghua University Beijing100084 China Jiangsu Key Laboratory of Numerical Simulation of Large Scale Complex Systems School of Chemistry and Materials Science Nanjing Normal University Nanjing210023 China Fujian Key Laboratory of Pollution Control and Resource Reuse School of Environmental and Resource Sciences Fujian Normal University Fujian Province Fuzhou350007 China School of Science RMIT University MelbourneVIC3000 Australia Centre for Translational Atomaterials

Electrocatalytic nitrate reduction (NitRR) offers exciting potential for mass production of ammonia (NH3) from renewables. However, the rigidity of metal−ligand bonds in most electrocatalysts renders them unable to survive the structural transformations required for NitRR. Herein, we establish a type of non-rigid metal−oxygen bonds by employing graphene oxide (GO) sheets as a 'micron-scale' ligand for transition metals (TM). Because of being confined to the interfaces between GO and TM, the oxygenated groups in GO can associate with and dissociate from the TM in response to reaction dynamics. As a proof-of-concept demonstration, an electrocatalyst was developed by dispersing nanoscale ruthenium (Ru) on graphene oxide (GO) and utilizing two-dimensional MXene to compensate for the low electrical conductivity of GO. This electrocatalyst exhibits a maximum NH3 yield of over 5 mg cm−2 h−1, with almost 100% current-to-NH3 efficiency, far outperforming the performance of most reported Ru-based materials. What's even more remarkable is the achievement of a record-breaking performance: a 200-hour stable electrolysis with a NH3 yield of 40.2 mg cm−2 h−1, using a membrane electrode reactor. Our experimental and theoretical investigations further reveal the non-rigidity of the Ru–O bonds and how they self-regulate to adapt to diverse intermediates involved in NitRR. This work provides an approach to fabricate a high-performance electrocatalyst featuring reversible and non-rigid metal−oxygen bonds, opening new possibilities for practical nitrate electrolysis. © 2024, The Authors. All rights reserved.

关键词： Electrocatalysis

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Erratum: Chiral phase and quantum phase transitions of anisotropic XY chains with three-site interactions

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Journal of Statistical Mechanics: Theory and Experiment 2012年第11期2012卷

作者： Xiaoxian Liu Ming Zhong Hui Xu Peiqing Tong Department of Physics and Institute of Theoretical Physics Nanjing Normal University Nanjing 210046 People's Republic of China Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems Nanjing Normal University Nanjing 210046 People's Republic of China

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Calibration and Modelling of Vegetation Structure Parameter B for L-Meb Models Over Agricultural Sites

SSRN

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SSRN 2024年

作者： Zhang, Hui Wang, Hongquan Sun, Zhibin Gao, Lun Wang, Yixiang Tong, Cheng Zhu, Luyao Shi, Zhou Institute of Agricultural Remote Sensing and Information Technology Application College of Environmental and Resource Sciences Zhejiang University Hangzhou310058 China Agriculture and Agri-Food Canada Lethbridge Research and Development Centre LethbridgeAB Canada Jiangsu Key Laboratory for Numerical Simulation of Large-Scale Complex Systems Nanjing Normal University Nanjing210023 China Agroecosystem Sustainability Center Institute for Sustainability Energy and Environment the University of Illinois at Urbana-Champaign UrbanaIL61801 United States State Key Laboratory of Subtropical Silviculture Zhejiang A&F University Hangzhou311300 China Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province Zhejiang A&F University Hangzhou311300 China College of Environment and Resource Sciences Zhejiang A&F University Lin’an Zhejiang311300 China Research Institute for Urban Planning and Sustainability Hangzhou City University Hangzhou310015 China Key Laboratory of Spectroscopy Sensing Ministry of Agriculture Hangzhou310058 China

Passive microwave observations of vegetation water content (VWC) are important to monitor vegetation growth status and terrestrial aboveground biomass. To constrain the L-band Microwave Emission of the Biosphere (L-MEB) model for NASA’s Soil Moisture Active Passive (SMAP) satellite mission, vegetation structure parameter b is often used to estimate VWC from the climatological Normalized Difference Vegetation Index (NDVI). However, little is known about what and how the driving factors impact the parameter b and its modeling due to the lack of quantitative analysis. Based on the Passive Active L-band Sensor (PALS) data from the SMAPVEX16-MB campaign, this study firstly calibrated the parameter b for canola, wheat and soybean. Afterwards, a Random Forest algorithm was employed to model b-values using both h and v polarized observations with the input features screened by correlation analysis and stepwise regression for each vegetation type, the R2 of which exceeds 82%. Considering the poor interpretability of machine learning algorithms, we also employed multivariable-linear regression to quantify their influence on b-values and achieved an R2 exceeding 75%. The results showed all three crop types had an increasing trend in b-values at dual-polarization with their growth, except for wheat which exhibited a decreasing trend at v-polarization. Among the three crops, wheat and soybean indicated sharp changes in b-values, particularly during the late growth stage, while canola exhibited slower changes. The b-values were higher at v-polarization than at h-polarization, except for wheat during the early growth stage and at the end of the late growth stage. The results of multivariable regression with vegetation type as dummy variables (soybean as the control) indicated that crop type significantly affected b values, with canola and wheat exhibiting positive effects on b-values at h-polarization but negative effects at v-polarization. Additionally, we found that VWC, biomass

关键词： Polarization

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The ${ {\bar{\boldsymbol q}\boldsymbol q\bar{\boldsymbol s}\boldsymbol Q} \;\;{(\boldsymbol q {\bf =}\boldsymbol u,\,\boldsymbol d;\,\boldsymbol Q{\bf =}\boldsymbol c,\,\boldsymbol b)} }$ tetraquark system in a chiral quark model*

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Chinese Physics C 2024年第7期48卷 073106-073106页

作者： Gang Yang Jialun Ping Jorge Segovia Department of Physics Zhejiang Normal University Jinhua 321004 China Department of Physics and Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems Nanjing Normal University Nanjing 210023 China Departamento de Sistemas Físicos Químicos y Naturales Universidad Pablo de Olavide E-41013 Sevilla Spain

The S-wave $\bar{q}q\bar{s}Q \;\; (q=u,\,d;\,Q=c,\,b)$ tetraquarks, with spin-parities $J^P=0^+$, $1^+$, and $2^+$, in both isoscalar and isovector sectors, are systematically studied using a chiral quark model. The

The S-wave $\bar{q}q\bar{s}Q \;\; (q=u,\,d;\,Q=c,\,b)$ $\bar{q}q\bar{s}Q \;\; (q=u,\,d;\,Q=c,\,b)$ tetraquarks, with spin-parities $ J^P=0^+ $ $J^P=0^+$, $ 1^+ $ $1^+$, and $ 2^+ $ $2^+$, in both isoscalar and isovector sectors, are systematically studied using a chiral quark model. The

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A Metal–Sulfur–Carbon Catalyst Mimicking the Two-Component Architecture of Nitrogenase

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Angewandte Chemie 2024年第45期136卷

作者： Junkai Xia Jiawei Xu Prof. Bing Yu Xiao Liang Dr. Zhen Qiu Prof. Hao Li Prof. Huajun Feng Prof. Yongfu Li Prof. Yanjiang Cai Prof. Haiyan Wei Prof. Haitao Li Prof. Hai Xiang Dr. Zechao Zhuang Prof. Dingsheng Wang State Key Laboratory of Subtropical Silviculture Zhejiang A&F University 311300 Hangzhou P. R. China College of Environment and Resources College of Carbon Neutrality Zhejiang A&F University 311300 Hangzhou P. R. China Jiangsu Key Laboratory of Numerical Simulation of Large Scale Complex Systems and School of Chemistry and Materials Science Nanjing Normal University 210023 Nanjing China Department of Chemistry Tsinghua University 100084 Beijing P. R. China Advanced Institute for Materials Research (WPI-AIMR) Tohoku University 980-8577 Sendai Japan Institute for Energy Research Jiangsu University 212013 Zhenjiang P. R. China Department of Chemical Engineering Columbia University 10027 New York NY USA

The production of ammonia (NH 3 ) from nitrogen sources involves competitive adsorption of different intermediates and multiple electron and proton transfers, presenting grand challenges in catalyst design. In nature nitrogenases reduce dinitrogen to NH 3 using two component proteins, in which electrons and protons are delivered from Fe protein to the active site in MoFe protein for transfer to the bound N 2 . We draw inspiration from this structural enzymology, and design a two-component metal–sulfur–carbon (M−S−C) catalyst composed of sulfur-doped carbon-supported ruthenium (Ru) single atoms (SAs) and nanoparticles (NPs) for the electrochemical reduction of nitrate (NO 3 − ) to NH 3 . The catalyst demonstrates a remarkable NH 3 yield rate of ~37 mg L −1 h −1 and a Faradaic efficiency of ~97 % for over 200 hours, outperforming those consisting solely of SAs or NPs, and even surpassing most reported electrocatalysts. Our experimental and theoretical investigations reveal the critical role of Ru SAs with the coordination of S in promoting the formation of the HONO intermediate and the subsequent reduction reaction over the NP-surface nearby. Such process results in a more energetically accessible pathway for NO 3 − reduction on Ru NPs co-existing with SAs. This study proves a better understanding of how M−S−Cs act as a synthetic nitrogenase mimic during ammonia synthesis, and contributes to the future mechanism-based catalyst design.

关键词： nitrogenase metal–sulfur–carbon nitrate reduction reaction ammonia synthesis synergistic interactions

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