Qi Tang

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	633	458
h-индекс	14	14
i10-индекс	15	15

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23 статии

1 статия

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Съавтори

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

Следене

Qi Tang

Computational Science and Engineering, Georgia Institute of Technology

Потвърден имейл адрес: gatech.edu - Начална страница

High Performance Computing Applied Mathematics Plasma Physics Scientific Machine Learning


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	64	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	61	2014
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	60	2015
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	57	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	51	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	40	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 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
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	33	2018
High-order low-dissipation targeted ENO schemes for ideal magnetohydrodynamics L Fu, Q Tang Journal of Scientific Computing, 2019	31	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
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
Approximation of nearly-periodic symplectic maps via structure-preserving neural networks V Duruisseaux, JW Burby, Q Tang Scientific Reports, 2023	9	2023
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	8	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	4	2024
Progress towards high fidelity collisional-radiative model surrogates for rapid in-situ evaluation NA Garland, R Maulik, Q Tang, XZ Tang, P Balaprakash 3rd Workshop on Machine Learning and the Physical Sciences, 2020	4	2020

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