DeepSpace Comput Flow (DSCF) Group
Where Math Meets AI, Fluids, and Astrophysics
Exploring Nature through Intelligent Computation......
PI---Kailiang Wu, Associate Professor of Mathematics, Southern University of Science and Technology
E-mail: WUKL [AT] sustech [DOT] edu [DOT] cn
Address: M613, SUSTech College of Science Building, 1088 Xueyuan Avenue, Xili, Nanshan District, Shenzhen, Guangdong 518055, P.R. China
Website: English Version , 中文版本
Employment
2021.01-present: Associate Professor, Department of Mathematics, Southern University of Science and Technology
2022.03-present: Associate Professor, Shenzhen International Center for Mathematics
2022.09-present: Associate Professor, National Center for Applied Mathematics Shenzhen
2016.08-2020.12: Postdoctoral Scholar, Department of Mathematics, The Ohio State University
2016.04-2016.08: Postdoctoral Fellow, Scientific Computing and Imaging Institute, University of Utah
Education
2011-2016 Ph.D. School of Mathematical Sciences, Peking University
2007-2011 B.Sc. School of Mathematics and Statistics, Huazhong University of Science and Technology
Research Interests
Machine Learning and Data-Driven Modeling
Numerical Solutions of Partial Differential Equations
Hyperbolic Conservation Laws
Structure-Preserving Methods: Design and Analysis
Computational Fluid Dynamics
High-Order Accurate Numerical Methods
Approximation Theory and Uncertainty Quantification
Publications
80. J. Chen, Q. Wang, and K. Wu*,
Continuous Memory Neural Networks for Learning Complex Dynamical Systems
preprint, 2025.
79. Y. Huang and K. Wu*,
Constraint-preserving high-order schemes with oscillation elimination for spherically symmetric Einstein-Euler system
preprint, 2025.
78. C. Yuan, Z. Zhang, H. Tang, and K. Wu*,
High-order accurate bound-preserving adaptive moving mesh finite volume methods for 2D and 3D special relativistic hydrodynamics
submitted, 2025.
77. M. Peng, Z. Li, and K. Wu*,
Superconvergence of nonlinear oscillation-eliminating DG methods for linear hyperbolic equations
preprint, 2025.
76. M. Liu, D. Pang, R. Abgrall, and K. Wu*,
An active-flux-type scheme for ideal MHD with provable positivity and discrete divergence-free property
preprint, 2025.
75. H. Cao, Y. Huang (Yunqing Huang), Z. Li, and K. Wu*
COS(DG): Convex Oscillation-Suppressing Discontinuous Galerkin Method with Provable High-Order Accuracy
submitted, 2025.
74. R. Yan, H. Cao, and K. Wu*
Provably positivity-preserving and globally divergence-free central DG methods for ideal MHD
submitted, 2025.
73. K. Wu, X. Zhang, and C.-W. Shu
High order numerical methods preserving invariant domain for hyperbolic and related systems
submitted, 2025.
72. M. Peng, K. Wu*, and C. Yuan
Oscillation-eliminating central DG schemes for hyperbolic conservation laws
submitted, 2025.
71. R. Abgrall, M. Jiao, Y. Liu, and K. Wu*
A novel and simple invariant-domain-preserving framework for PAMPA scheme: 1D case
submitted, 2024.
70. D. Pang and K. Wu*
Provably positivity-preserving constrained transport scheme for 2D and 3D ideal magnetohydrodynamics
sbumitted, 2024.
69. L. Y. Win, Y. Chen, Y. Nie, L. Cai, K. Wu
Physical-constraint-preserving high-order finite volume WENO method via geometric quasilinearization for Chaplygin gas dynamics
submitted, 2024.
68. S. Cui, K. Wu*, and L. Xu
On local minimum entropy principle of high-order schemes for relativistic Euler equations
Mathematics of Computation, accepted, 2025.
67. R. Abgrall, M. Jiao, Y. Liu, and K. Wu
Bound-preserving Point-Average-Moment PolynomiAl-interpreted (PAMPA) scheme: One-dimensional case
Communications in Computational Physics, accepted, 2025.
66. C. Cai, J. Qiu, and K. Wu*
Provably Convergent Newton–Raphson Method: Theoretically Robust Recovery of Primitive Variables in Relativistic MHD
SIAM Journal on Numerical Analysis, 63: 1128-1159, 2025.
65. J. Chen, K. Wu*, and D. Xiu
DUE: A deep learning framework and library for modeling unknown equations
SIAM, to appear, 2025.
64. Z. Li and K. Wu*
Spectral volume from a DG perspective: oscillation elimination, stability, and optimal error estimates
SIAM Journal on Scientific Computing, 47: A1304-A1333, 2025.
63. H. Cao, M. Peng, and K. Wu*
Robust discontinuous Galerkin methods maintaining physical constraints for general relativistic hydrodynamics
Journal of Computational Physics, 526: 113770, 2025.
62. M. Liu and K. Wu*
Structure-preserving oscillation-eliminating discontinuous Galerkin schemes for ideal MHD equations: Locally divergence-free and positivity-preserving
Journal of Computational Physics, 527: 113795, 2025.
61. S. Cui, Y. Gu, A. Kurganov, K. Wu, and R. Xin
Positivity-preserving new low-dissipation central-upwind schemes for compressible Euler equations
Journal of Computational Physics, 538: 114189, 2025.
60. S. Ding, K. Wu*, and C. Yuan
Divergence-free finite volume WENO scheme for relativistic magnetohydrodynamics preserving positivity and subluminal velocity
Monthly Notices of the Royal Astronomical Society (MNRAS), 538: 1167-1190, 2025.
59. W. Chen, S. Cui, K. Wu, and T. Xiong
Bound-preserving OEDG method for Aw-Rascle-Zhang traffic models on networks
Journal of Computational Physics, 520: 113507, 2025.
58. S. Ding, S. Cui, and K. Wu*
Robust DG schemes on unstructured triangular meshes: Oscillation elimination and bound preservation via optimal convex decomposition
Journal of Computational Physics, 526: 113769, 2025.
57. Z. Zhang, H. Tang, and K. Wu*
High-order accurate structure-preserving finite volume schemes on adaptive moving meshes for shallow water equations: Well-balancedness and positivity
Journal of Computational Physics, 527: 113801, 2025.
56. R. Yan, R. Abgrall, and K. Wu*
Uniformly high-order bound-preserving OEDG schemes for two-phase flows
Math. Models Methods Appl. Sci. (M3AS), 34: 2537-2610, 2024.
55. J. Du, C. Fan, and K. Wu
Oscillation-eliminating discontinuous Galerkin methods for multicomponent chemically reacting flows
Annals of Applied Mathematics, 40: 412-444, 2024.
54. J. Chen and K. Wu*
Positional knowledge is all you need: Position-induced Transformer (PiT) for operator learning
International Conference on Machine Learning (ICML), 7526-7552, 2024.
53. C. Fan and K. Wu*
High-order oscillation-eliminating Hermite WENO method for hyperbolic conservation laws
Journal of Computational Physics, 519: 113435, 2024.
52. M. Peng, Z. Sun, and K. Wu*
OEDG: Oscillation-eliminating discontinuous Galerkin method for hyperbolic conservation laws
Mathematics of Computation, 94: 1147-1198, 2025. Published online on July 30, 2024
( arXiv:2310.04807, October 7, 2023 )
This paper proposes a novel approach for eliminating spurious oscillations in DG methods for hyperbolic equations;
The idea is to eliminate oscillations by evolving a damping equation with the DG solution as the "initial value";
Oscillation-Eliminating (OE) procedure is non-intrusive, highly efficient, very easy to implement, scale-invariant, evolution-invariant, and linearity-invariant;
This work first reveals the damping technique's role as a modal filter, bridging the damping and spectral viscosity (filtering) techniques.
51. A. Chertock, A. Kurganov, M. Redle, and K. Wu
A new locally divergence-free path-conservative central-upwind scheme for ideal and shallow water magnetohydrodynamics
SIAM Journal on Scientific Computing, 46: A1998-A2024, 2024.
50. S. Ding and K. Wu*
A new discretely divergence-free positivity-preserving high-order finite volume method for ideal MHD equations
SIAM Journal on Scientific Computing, 46: A50-A79, 2024.
49. S. Cui, A. Kurganov, and K. Wu*
Bound-preserving framework for central-upwind schemes for general hyperbolic conservation laws
SIAM Journal on Scientific Computing, 46: A2899-A2924, 2024.
48. S. Cui, S. Ding, and K. Wu*
On optimal cell average decomposition (OCAD) for high-order bound-preserving schemes of hyperbolic conservation laws
SIAM Journal on Numerical Analysis, 62: 775-810, 2024.
It remained unknown for a decade what CAD is optimal for general polynomial spaces, especially in multiple dimensions;
This work proved the classical 1D cell average decomposition (CAD) is optimal for designing high-order BP schemes;
It is discovered that the classical 2D CAD is not optimal for P^k space;
A general theory is estalbished for seeking the optimal 2D CAD, involving convex geometry and symmetric group techniques;
We develop a generic approach to find out the genuine OCAD, which gives much milder BP CFL than the classic CAD yet requires much fewer nodes.
These findings notably improve the efficiency of general high-order BP methods for a large class of hyperbolic equations while requiring only a minor adjustment of the implementation code.
47. S. Ding and K. Wu*
GQL-based bound-preserving and locally divergence-free central discontinuous Galerkin schemes for relativistic magnetohydrodynamics
Journal of Computational Physics, 514: 113208, 2024. A special issue in honor of Prof. Sergei Godunov（俄罗斯科学院院士）
46. C. Zhang, K. Wu, and Z. He
Critical sampling for robust evolution operator learning of unknown dynamical systems
IEEE Transactions on Artificial Intelligence, 5: 2856-2871, 2024.
45. J. Wang, H. Tang, K. Wu*
High-order accurate positivity-preserving and well-balanced discontinuous Galerkin schemes for ten-moment Gaussian closure equations with source terms
Journal of Computational Physics, 519: 113451, 2024.
44. C. Cai, J. Qiu, and K.Wu*
Provably convergent Newton-Raphson methods for recovering primitive variables with applications to physical-constraint-preserving Hermite WENO schemes for relativistic hydrodynamics
Journal of Computational Physics, 498: 112669, 2024.
43. L. Xu, S. Ding, and K. Wu*
High-order accurate entropy stable schemes for relativistic hydrodynamics with a general equation of state
Journal of Scientific Computing, 98: 43, 2024.
42. W. Chen, K. Wu, and T. Xiong
High order structure-preserving finite difference WENO scheme for MHD equations with gravitation in all sonic Mach numbers
Journal of Scientific Computing, 99: 36, 2024.
41. K. Wu*, H. Jiang, and C.-W. Shu
Provably positive central discontinuous Galerkin schemes via geometric quasilinearization for ideal MHD equations
SIAM Journal on Numerical Analysis, 61: 250--285, 2023.
40. K. Wu and C.-W. Shu*
Geometric Quasilinearization (GQL) Framework for Analysis and Design of Bound-Preserving Schemes
SIAM Review, (Research Spotlight) 65(4): 1031--1073, 2023.
This paper proposes a general framework, motivated by our previous bound-preserving works [10,16,18,22,30,32] on MHD and RHD systems;
GQL equivalently transforms nonlinear constraints into linear ones, through properly introducing free auxiliary variables, i.e., it uses extra auxiliary variables in exchange for linearity.
39. J. Chen and K. Wu*
Deep-OSG: Deep learning of operators in semigroup
Journal of Computational Physics, 493: 112498, 2023.
38. Y. Ren, K. Wu, J. Qiu, and Y. Xing
On positivity-preserving well-balanced finite volume methods for the Euler equations with gravitation
Journal of Computational Physics, 492: 112429, 2023.
37. W. Chen, K. Wu, and T. Xiong
High order asymptotic preserving finite difference WENO schemes with constrained transport for MHD equations in all sonic Mach numbers
Journal of Computational Physics, 488: 112240, 2023.
36. S. Cui, S. Ding, and K. Wu*
Is the classic convex decomposition optimal for bound-preserving schemes in multiple dimensions?
Journal of Computational Physics, 476: 111882, 2023.
35. Z. Sun, Y. Wei, and K. Wu*
On energy laws and stability of Runge--Kutta methods for linear seminegative problems
SIAM Journal on Numerical Analysis, 60(5): 2448--2481, 2022.
34. Y. Chen and K. Wu*
A physical-constraint-preserving finite volume WENO method for special relativistic hydrodynamics on unstructured meshes
Journal of Computational Physics, 466: 111398, 2022.
33. H. Jiang, H. Tang, and K. Wu*
Positivity-preserving well-balanced central discontinuous Galekin schemes for the Euler equations under gravitational fields
Journal of Computational Physics, 463: 111297, 2022.
32. K. Wu
Minimum principle on specific entropy and high-order accurate invariant region preserving numerical methods for relativistic hydrodynamics
SIAM Journal on Scientific Computing, 43(6): B1164--B1197, 2021. arXiv:2102.03801
31. Z. Chen, V. Churchill, K. Wu, and D. Xiu
Deep neural network modeling of unknown partial differential equations in nodal space
Journal of Computational Physics, 449: 110782, 2022. arXiv:2106.03603
30. K. Wu and C.-W. Shu
Provably physical-constraint-preserving discontinuous Galerkin methods for multidimensional relativistic MHD equations
Numerische Mathematik, 148: 699--741, 2021. arXiv:2002.03371
29. K. Wu and Y. Xing
SIAM Journal on Scientific Computing, 43(1): A472--A510, 2021. arXiv:2005.07166.
28. K. Wu, T. Qin, and D. Xiu
Structure-preserving method for reconstructing unknown Hamiltonian systems from trajectory data
SIAM Journal on Scientific Computing, 42(6): A3704--A3729, 2020. arXiv:1905.10396.
27. K. Wu and D. Xiu
Data-driven deep learning of partial differential equations in modal space
Journal of Computational Physics, 408: 109307, 2020. arXiv:1910.06948 (15 Oct 2019).
26. K. Wu and C.-W. Shu
SIAM Journal on Scientific Computing, 42(4): A2230--A2261, 2020. arXiv:1907.07467 (17 July 2019).
25. K. Wu, D. Xiu, and X. Zhong
A WENO-based stochastic Galerkin scheme for ideal MHD equations with random inputs
Communications in Computational Physics, 30(2): 423--447, 2021.
24. Z. Chen, K. Wu, and D. Xiu
Methods to recover unknown processes in partial differential equations using data
Journal of Scientific Computing, 85:23, 2020. arXiv:2003.02387.
23. J. Hou, T. Qin, K. Wu and D. Xiu
A non-intrusive correction algorithm for classification problems with corrupted data
Commun. Appl. Math. Comput., 3: 337--356, 2021. arXiv:2002.04658.
22. K. Wu and C.-W. Shu
Provably positive high-order schemes for ideal magnetohydrodynamics: Analysis on general meshes
Numerische Mathematik, 142(4): 995--1047, 2019.
21. T. Qin, K. Wu, and D. Xiu
Data driven governing equations approximation using deep neural networks
Journal of Computational Physics, 395: 620--635, 2019.
20. K. Wu and D. Xiu
Numerical aspects for approximating governing equations using data
Journal of Computational Physics, 384: 200--221, 2019.
19. K. Wu and D. Xiu
Sequential approximation of functions in Sobolev spaces using random samples
Commun. Appl. Math. Comput., 1: 449--466, 2019.
18. K. Wu and C.-W. Shu
A provably positive discontinuous Galerkin method for multidimensional ideal magnetohydrodynamics
SIAM Journal on Scientific Computing, 40(5):B1302--B1329, 2018.
17. Y. Shin, K. Wu, and D. Xiu
Sequential function approximation with noisy data
Journal of Computational Physics, 371:363--381, 2018.
16. K. Wu
Positivity-preserving analysis of numerical schemes for ideal magnetohydrodynamics
SIAM Journal on Numerical Analysis, 56(4):2124--2147, 2018.
15. K. Wu and D. Xiu
Sequential function approximation on arbitrarily distributed point sets
Journal of Computational Physics, 354:370--386, 2018.
14. K. Wu and H. Tang
Z. Angew. Math. Phys., 69:84(24pages), 2018.
13. K. Wu, Y. Shin, and D. Xiu
A randomized tensor quadrature method for high dimensional polynomial approximation
SIAM Journal on Scientific Computing, 39(5):A1811--A1833, 2017.
12. K. Wu
Design of provably physical-constraint-preserving methods for general relativistic hydrodynamics
Physical Review D, 95, 103001, 2017.
11. K. Wu, H. Tang, and D. Xiu
A stochastic Galerkin method for first-order quasilinear hyperbolic systems with uncertainty
Journal of Computational Physics, 345:224--244, 2017.
10. K. Wu and H. Tang
Math. Models Methods Appl. Sci. (M3AS), 27(10):1871--1928, 2017.
9. Y. Kuang, K. Wu, and H. Tang
Numer. Math. Theor. Meth. Appl., 10(2):373--419, 2017. A special issue dedicated to Prof. Zhenhuan Teng's 80th birthday
8. K. Wu and H. Tang
Astrophys. J. Suppl. Ser. (ApJS), 228(1):3(23pages), 2017. (2015 Impact Factor of ApJS: 11.257)
7. K. Wu and H. Tang
A direct Eulerian GRP scheme for spherically symmetric general relativistic hydrodynamics
SIAM Journal on Scientific Computing, 38(3):B458--B489, 2016.
6. K. Wu and H. Tang
A Newton multigrid method for steady-state shallow water equations with topography and dry areas
Applied Mathematics and Mechanics, 37(11):1441--1466, 2016.
5. K. Wu and H. Tang
Journal of Computational Physics, 298:539--564, 2015.
4. K. Wu, Z. Yang, and H. Tang
A third-order accurate direct Eulerian GRP scheme for one-dimensional relativistic hydrodynamics
East Asian J. Appl. Math., 4(2):95--131, 2014.
3. K. Wu and H. Tang
Finite volume local evolution Galerkin method for two-dimensional relativistic hydrodynamics
Journal of Computational Physics, 256:277--307, 2014.
2. K. Wu, Z. Yang, and H. Tang
A third-order accurate direct Eulerian GRP scheme for the Euler equations in gas dynamics
Journal of Computational Physics, 264:177--208, 2014.
RESEARCH REPORT
1. K. Wu and D. Xiu
An explicit neural network construction for piecewise constant function approximation
arXiv preprint arXiv:1808.07390.
Funding & Honors
SUSTech President's Research Award, (2025)
Outstanding Young Scientists Team Program, College of Science of SUSTech, PI (2025)
World's Top 2% Scientist List, single-year impact, Stanford/Elsevier (2024)
National Natural Science Foundation of China (NSFC), Major Program, PI (国家自然科学基金 重大研究计划培育项目，主持) (2023) (Funding: 0.7 million)
Distinguished Young Scholar, Shenzhen Science and Technology Program, PI (深圳市杰青项目，主持) (2023) (Funding: 4 million)
National Natural Science Foundation of China (NSFC), General Program, PI (国家自然科学基金 面上项目，主持) (2021) (Funding: 0.5 million)
National Excellent Young Scholar Program, PI (国家高层次人才计划 青年项目，主持) (2020) (Funding: 2 million)
Zhong Jiaqing Mathematics Award, the Chinese Mathematical Society (中国数学会 钟家庆数学奖) (2019) One of the three major mathematics awards of the Chinese Mathematical Society (4 per 2 years)
Outstanding Youth Paper Award (First Prize), the China Society for Computational Mathematics (中国数学会计算数学分会 优秀青年论文奖一等奖) (2015)
First Prize of “Challenge Cup” May-4th Youth Science Award, Peking University (2014)
Group Members
Principal Investigator: Prof. Dr. Kailiang Wu
Research Assistant/Associate Professor
◆ Dr. Shumo Cui (2023.02.01-present): Ph.D. from Tulane University; Postdoc at Temple University.
◆ Dr. Shengrong Ding (2023.12.29-2025.6): Ph.D. from USTC; Postdoc at SUSTech.
First job after leaving our group: Associate Professor at Sun Yat-sen University (Shenzhen).
◆ Dr. Huihui Cao (2025.7-present): Ph.D. from Xiangtan University; Postdoc at SUSTech.
Postdoctoral Fellows
◆ Dr. Shengrong Ding (2021.11-2023.12): Ph.D. from University of Science and Technology of China.
First job after postdoc: Research Assistant Professor at SUSTech.
◆ Dr. Junfeng Chen ( 2022.10-2025.7.24 ): B.Sc. from Tsinghua University, Ph.D. from Paris Sciences et Lettres – PSL Research University.
First job after postdoc: Assistant Professor (tenure-track) at Hong Kong University of Science and Technolog (HKUST).
◆ Dr. Huihui Cao (2023.7-2025.6): Ph.D. from Xiangtan University.
First job after postdoc: Research Assistant Professor at SUSTech.
◆ Dr. Ruifang Yan (2023.7-): Ph.D. from Wuhan University.
◆ Dr. Chuan Fan (2023.9-): Ph.D. from Xiamen University.
◆ Dr. Mengqing Liu (2023.9-): Ph.D. from University of Chinese Academy of Sciences.
◆ Dr. Qinghe Wang (2023.12-): Ph.D. from Chinese University of Hong Kong, Shenzhen.
◆ Dr. Caiyou Yuan (2024.9-): B.Sc. from Zhejiang University, Ph.D. from Peking University.
◆ Dr. Jie Xu (2025.7-): Ph.D. from Ocean University of China.
◆ Dr. Jun Fang (2025.9-): Ph.D. from IAPCM.
Graduate Students
(1) Ph.D. Students:
◆ Zhuoyun Li (2022.9-), Ph.D. Student, B.Sc. from Southern University of Science and Technology.
◆ Manting Peng (2022.9-), Ph.D. Student, B.Sc. from Southern University of Science and Technology.
◆ Linfeng Xu (2022.9-), Ph.D. Student, B.Sc. from Southern University of Science and Technology.
◆ Dongwen Pang (2023.9-), Ph.D. Student, B.Sc. from Wuhan University of Technology, M.Sc. from Xiangtan University.
◆ Jiahe Yue (2024.09-), Ph.D. Student, B.Sc. from NUAA.
◆ Miaosen Jiao (2025.9-), Ph.D Student, B.Sc. from Southern University of Science and Technology.
◆ Zongda He (2025.9-), Ph.D Student, B.Sc. from Southern University of Science and Technology.
(2) Master Students:
◆ Fang Yan (2021.9-2023.7), Master Student，B.Sc. from South China University of Technology.
◆ Miaosen Jiao (2023.9-2025.7), Master Student, B.Sc. from Southern University of Science and Technology.
◆ Yuchen Huang (2024.09-), Master Student, B.Sc. from Southern University of Science and Technology.
◆ Haoxiang Yang (2025.09-), Master Student, B.Sc. from Southern University of Science and Technology.
◆ Fangyu Du (2025.09-), Master Student, B.Sc. from Southern University of Science and Technology.
Visiting Postdocs & Students
◆ Dr. Junfeng Chen ( 2022.3-2022.9 ): B.Sc. from Tsinghua University, Ph.D. from Paris Sciences et Lettres – PSL Research University.
◆ Dr. Chuan Fan (2023.6-2023.9): Ph.D. from Xiamen University.
◆ Dr. Hao Li (2023.12-2024.1): Ph.D. from Purdue University；Postdoc at University of Texas at Austin.
◆ Dr. Junming Duan (2023.6-2023.7): Ph.D. Peking University; Postdoc at EPFL.
◆ Dr. Caiyou Yuan (2024.7-2024.8): Ph.D. Peking University.
◆ Dr. Jun Fang (2025.7-2025.8): Ph.D. from IAPCM.
◆ Haili Jiang (2021.4-2021.12), Visiting Ph.D. Student from Peking University.
◆ Caiyou Yuan(2023.06.29-08.30), Visiting Ph.D. student from Peking University.
◆ Zhihao Zhang (2023.06.29-08.30), Visiting Ph.D. student from Peking University.
◆ Jiangfu Wang (2023.06.29-08.30), Visiting Ph.D. student from Peking University.
◆ Wei Chen (2024/2025), Visiting Ph.D. student from Xiamen University.
◆ Chaoyi Cai (2024/2025), Visiting Ph.D. student from Xiamen University.
◆ Hao Wang (2025.7-2025.8), Visiting undergraduate student from Zhejiang University.
Professional Services
Co-Chair of SUSTech Mathematics Colloquium
Editorial Board of Journal on Numerical Methods and Computer Applications
Editorial Board of Frontiers in Applied Mathematics and Statistics (Numerical Analysis and Scientific Computation Section)
Reviewer for AMS Mathematical Reviews (Invited)
Referee for scientific journals including
Annals of Applied Mathematics
Acta Applicandae Mathematicae
Advances in Water Resources
Applied Mathematics and Computation
Applied Numerical Mathematics
Chinese Journal of Computational Physics
Communications on Applied Mathematics and Computation
Communications in Nonlinear Science and Numerical Simulation
Computer Physics Communications
Electronic Research Archive
Frontiers in Applied Mathematics and Statistics
Journal of Computational Physics ( 82+ times )
Journal of Mathematical Biology
Journal of Numerical Mathematics
Journal of Applied Mathematics and Computing
Mathematics of Computation (Math Comp)
Mathematics and Computers in Simulation
Numerical Methods for Partial Differential Equations
Neurocomputing
Neural Networks
Partial Differential Equations and Applications
Physics of Fluids
PLOS Computational Biology
International Conference on Machine Learning
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