Project supported by the National Natural Science Foundation of China(Grant No.62125402).
Thermal expansion is crucial for various industrial processes and is increasingly the focus of research endeavors aimed at improving material performance.However,it is the continuous advancements in first-principles c...
supported by the National Key R&D Program of China(2022YFF0903301);the National Natural Science Foundation of China(Grant Nos.U22B2059,61976073,62276083);the Shenzhen Foundational Research Funding(JCYJ20200109113441941);the Major Key Project of PCL(PCL2021A06).
Sparse Knowledge Graph(KG)scenarios pose a challenge for previous Knowledge Graph Completion(KGC)methods,that is,the completion performance decreases rapidly with the increase of graph sparsity.This problem is also ex...
supported by National Natural Science Foundation of China (Grant No. 12101128);supported by Natural Science Foundation of Fujian Province (Grant No. 2023J02003);National Natural Science Foundation of China (Grant No. 12071392)。
In this paper, we propose a high-order finite volume method for solving multicomponent fluid problems. Our method couples the quasi-conservative form with the reconstruction of conservative variables in a characterist...
co-supported by the Aeronautical Science Foundation of China(Nos.2018ZA52002,2019ZA052011).
With the availability of high-performance computing technology and the development of advanced numerical simulation methods, Computational Fluid Dynamics (CFD) is becoming more and more practical and efficient in engi...
supported by the National Natural Science Foundation of China(Grant Nos.12127802 and 11721202)。
In the experimental investigation of fluid-structure interactions regarding the undulatory motion like flag flapping or fish swimming,solving the force distribution on the flexible body stands as an indispensable ende...
supported by the National Natural Science Foundation of China(Nos.12371255 and 11975306);the Natural Science Foundation of Jiangsu Province(No.BK20181351);the Six Talent Peaks Project in Jiangsu Province(No.JY-059);the 333 Project in Jiangsu Province;the Fundamental Research Fund for the Central Universities(Nos.2019ZDPY07);the Graduate Innovation Program of China University of Mining and Technology(No.2022WLJCRCZL139).
The focusing modified Korteweg-de Vries(mKdV)equation with multiple high-order poles under the nonzero boundary conditions is first investigated via developing a Riemann-Hilbert(RH)approach.We begin with the asymptoti...
supported by the National Natural Science Foundation of China under Grant No.12072090.
The high-speed development of space defense technology demands a high state estimation capacity for spacecraft tracking methods.However,reentry flight is accompanied by complex flight environments,which brings to the ...
supported in part by the Research Grants Council of the Hong Kong Special Administration Region under Grant No.14201420;in part by the National Natural Science Foundation of China under GrantNo.61973260.
In this paper,the authors study the problem of distributed Nash equilibrium seeking of N-player games with high-order integrator dynamics subject to disturbances generated by an uncertain exosystem.Similar problems ha...
We implemented a two-step Asymmetric Perfectly Matched Layer (APML) model in High-Order Finite Difference Time Domain (FDTD) algorithm for solving two-dimensional Maxwell’s equations. Initially, we applied the APML m...
supported by the National Natural Science Foundation of China(NSFC)(U2031140).
We explore an end-to-end wavefront sensing approach based on deep learning,which aims to deal with the high-order turbulence and the discontinuous aberration caused by optical system obstructions commonly encountered ...