Qi Tang

Cytowane przez

	Wszystkie	Od 2020
Cytowania	641	460
h-indeks	14	14
i10-indeks	16	16

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23 artykuły

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Andrew J. ChristliebProfessor of Computational Mathematics, Science and Engineering at Michigan State UniversityZweryfikowany adres z msu.edu
Xianzhu TangPhysicist, Los Alamos National LaboratoryZweryfikowany adres z lanl.gov
Joshua W. BurbyUniversity of Texas at AustinZweryfikowany adres z austin.utexas.edu
Romit MaulikAssistant Professor and ICDS Co-Hire: Pennsylvania State UniversityZweryfikowany adres z psu.edu
Prasanna BalaprakashDirector of AI Programs and Distinguished R&D Staff Scientist, Oak Ridge National LaboratoryZweryfikowany adres z ornl.gov
William D. HenshawResearcher, Lawrence Livermore National LaboratoryZweryfikowany adres z llnl.gov
J. W. BanksRensselaer Polytechnic InstituteZweryfikowany adres z rpi.edu
David C. SealRocket SoftwareZweryfikowany adres z rocketsoftware.com
James RossmanithIowa State UniversityZweryfikowany adres z iastate.edu
Yuan LIUWichita State UniversityZweryfikowany adres z math.wichita.edu
Nathan GarlandGriffith UniversityZweryfikowany adres z griffith.edu.au
Tzanio KolevLawrence Livermore National LaboratoryZweryfikowany adres z llnl.gov
Michael D. GrahamSteenbock Professor of Engineering, Dept. of Chemical and Biological Engineering, UW-MadisonZweryfikowany adres z wisc.edu
Alec J. LinotUniversity of California, Los AngelesZweryfikowany adres z ucla.edu
John N. ShadidSandia National Labs, Computational Mathematics Dept.; Univ. of New Mexico, Mathematics Dept.Zweryfikowany adres z sandia.gov
Luis ChaconLos Alamos National LaboratoryZweryfikowany adres z lanl.gov
Yingda ChengProfessor, Virginia TechZweryfikowany adres z vt.edu
Wei GuoTexas Tech UniversityZweryfikowany adres z ttu.edu
Lin Fu 傅林Hong Kong University of Science and Technology (HKUST), Stanford U., Technical U. of MunichZweryfikowany adres z ust.hk
Valentin DuruisseauxPostdoctoral Researcher, CaltechZweryfikowany adres z caltech.edu

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Qi Tang

Computational Science and Engineering, Georgia Institute of Technology

Zweryfikowany adres z gatech.edu - Strona główna

High Performance Computing Applied Mathematics Plasma Physics Scientific Machine Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems AJ Linot, JW Burby, Q Tang, P Balaprakash, MD Graham, R Maulik Journal of Computational Physics 474, 111838, 2023	65	2023
Finite difference weighted essentially non-oscillatory schemes with constrained transport for ideal magnetohydrodynamics AJ Christlieb, JA Rossmanith, Q Tang Journal of Computational Physics 268, 302-325, 2014	65	2014
High order parametrized maximum-principle-preserving and positivity-preserving WENO schemes on unstructured meshes AJ Christlieb, Y Liu, Q Tang, Z Xu Journal of Computational Physics 281, 334-351, 2015	59	2015
Positivity-preserving finite difference Weighted ENO schemes with constrained transport for ideal magnetohydrodynamic equations AJ Christlieb, Y Liu, Q Tang, Z Xu SIAM Journal on Scientific Computing 37 (4), A1825–A1845, 2015	59	2015
Sparse Grid Discontinuous Galerkin Methods for High-Dimensional Elliptic Equations Z Wang, Q Tang, W Guo, Y Cheng Journal of Computational Physics 314, 244-263, 2016	54	2016
Fast neural Poincaré maps for toroidal magnetic fields JW Burby, Q Tang, R Maulik Plasma Physics and Controlled Fusion, 2020	41	2020
A high-order positivity-preserving single-stage single-step method for the ideal magnetohydrodynamic equations AJ Christlieb, X Feng, DC Seal, Q Tang Journal of Computational Physics 316, 218-242, 2016	41	2016
An explicit high-order single-stage single-step positivity-preserving finite difference WENO method for the compressible Euler equations DC Seal, Q Tang, Z Xu, AJ Christlieb Journal of Scientific Computing 68, 171-190, 2016	35	2016
A high-order finite difference WENO scheme for ideal magnetohydrodynamics on curvilinear meshes AJ Christlieb, X Feng, Y Jiang, Q Tang SIAM Journal on Scientific Computing 40 (4), A2631--A2666, 2018	34	2018
A stable partitioned FSI algorithm for rigid bodies and incompressible flow in three dimensions JW Banks, WD Henshaw, DW Schwendeman, Q Tang Journal of Computational Physics 373, 455-492, 2018	34	2018
High-order low-dissipation targeted ENO schemes for ideal magnetohydrodynamics L Fu, Q Tang Journal of Scientific Computing, 2019	30	2019
A stable partitioned FSI algorithm for rigid bodies and incompressible flow. Part I: Model problem analysis JW Banks, WD Henshaw, DW Schwendeman, Q Tang Journal of Computational Physics 343, 432-468, 2017	28	2017
A stable partitioned FSI algorithm for rigid bodies and incompressible flow. Part II: General formulation JW Banks, WD Henshaw, DW Schwendeman, Q Tang Journal of Computational Physics 343, 469-500, 2017	21	2017
An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD Q Tang, L Chacon, TV Kolev, JN Shadid, XZ Tang Journal of Computational Physics 454, 41, 2022	15	2022
Approximation of nearly-periodic symplectic maps via structure-preserving neural networks V Duruisseaux, JW Burby, Q Tang Scientific Reports, 2023	10	2023
An adaptive discontinuous Petrov-Galerkin method for the Grad-Shafranov equation Z Peng, Q Tang, XZ Tang SIAM Journal on Scientific Computing, B1227-B1249, 2020	10	2020
A parallel cut-cell algorithm for the free-boundary Grad-Shafranov problem S Liu, Q Tang, XZ Tang SIAM Journal on Scientific Computing 43 (6), B1198-B1225, 2021	7	2021
Space-charge effect of the time-varying electron injection in a diode: classical and relativistic regimes Y Liu, Q Tang, B Wu Physics of Plasmas 24, 093512, 2017	6	2017
Denoising Particle-In-Cell Data via Smoothness-Increasing Accuracy-Conserving Filters with Application to Bohm Speed Computation MJ Picklo, Q Tang, Y Zhang, JK Ryan, XZ Tang Journal of Computational Physics, 2024	5	2024
Progress towards high fidelity collisional-radiative model surrogates for rapid in-situ evaluation N Garland, R Maulik, Q Tang, XZ Tang, P Balaprakash 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2020	4	2020

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