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ORCIDSuchuan Dong
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- affiliation: Purdue University, Department of Mathematics, West Lafayette, IN, USA
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2020 – today
- 2024
[j35]Jingbo Sun, Suchuan Dong, Fei Wang
:
Local randomized neural networks with discontinuous Galerkin methods for partial differential equations. J. Comput. Appl. Math. 445: 115830 (2024)- [j34]Jielin Yang, Ivan C. Christov, Suchuan Dong:
Phase field modeling and numerical algorithm for two-phase dielectric fluid flows. J. Comput. Phys. 514: 113228 (2024) - [i16]Jielin Yang, Suchuan Dong:
A Functionally Connected Element Method for Solving Boundary Value Problems. CoRR abs/2403.06393 (2024) - [i15]Yianxia Qian, Yongchao Zhang, Suchuan Dong:
Error Analysis and Numerical Algorithm for PDE Approximation with Hidden-Layer Concatenated Physics Informed Neural Networks. CoRR abs/2406.06350 (2024) - 2023
- [j33]Suchuan Dong, Yiran Wang:
A method for computing inverse parametric PDE problems with random-weight neural networks. J. Comput. Phys. 489: 112263 (2023) - [j32]Yanxia Qian, Yongchao Zhang, Yunqing Huang, Suchuan Dong:
Physics-informed neural networks for approximating dynamic (hyperbolic) PDEs of second order in time: Error analysis and algorithms. J. Comput. Phys. 495: 112527 (2023) - [j31]Naxian Ni, Suchuan Dong:
Numerical Computation of Partial Differential Equations by Hidden-Layer Concatenated Extreme Learning Machine. J. Sci. Comput. 95(2): 35 (2023) - [i14]Yanxia Qian, Yongchao Zhang, Yunqing Huang, Suchuan Dong:
Error Analysis of Physics-Informed Neural Networks for Approximating Dynamic PDEs of Second Order in Time. CoRR abs/2303.12245 (2023) - [i13]Jielin Yang, Ivan C. Christov, Suchuan Dong:
Phase Field Modeling and Numerical Algorithm for Two-Phase Dielectric Fluid Flows. CoRR abs/2305.09020 (2023) - [i12]Yiran Wang, Suchuan Dong:
An Extreme Learning Machine-Based Method for Computational PDEs in Higher Dimensions. CoRR abs/2309.07049 (2023) - 2022
- [j30]Suchuan Dong, Jielin Yang:
On computing the hyperparameter of extreme learning machines: Algorithm and application to computational PDEs, and comparison with classical and high-order finite elements. J. Comput. Phys. 463: 111290 (2022) - [i11]Suchuan Dong, Jielin Yang:
Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks. CoRR abs/2201.09989 (2022) - [i10]Naxian Ni, Suchuan Dong:
Numerical Computation of Partial Differential Equations by Hidden-Layer Concatenated Extreme Learning Machine. CoRR abs/2204.11375 (2022) - [i9]Jingbo Sun, Suchuan Dong, Fei Wang:
Local Randomized Neural Networks with Discontinuous Galerkin Methods for Partial Differential Equations. CoRR abs/2206.05577 (2022) - [i8]Suchuan Dong, Yiran Wang:
A Method for Computing Inverse Parametric PDE Problems with Random-Weight Neural Networks. CoRR abs/2210.04338 (2022) - 2021
- [j29]Suchuan Dong, Naxian Ni:
A method for representing periodic functions and enforcing exactly periodic boundary conditions with deep neural networks. J. Comput. Phys. 435: 110242 (2021) - [j28]Suchuan Dong, Zongwei Li:
A modified batch intrinsic plasticity method for pre-training the random coefficients of extreme learning machines. J. Comput. Phys. 445: 110585 (2021) - [i7]Suchuan Dong, Zongwei Li:
A Modified Batch Intrinsic Plasticity Method for Pre-training the Random Coefficients of Extreme Learning Machines. CoRR abs/2103.08042 (2021) - [i6]Suchuan Dong, Jielin Yang:
On Computing the Hyperparameter of Extreme Learning Machines: Algorithm and Application to Computational PDEs, and Comparison with Classical and High-Order Finite Elements. CoRR abs/2110.14121 (2021) - 2020
- [j27]Zhiguo Yang, Suchuan Dong:
A roadmap for discretely energy-stable schemes for dissipative systems based on a generalized auxiliary variable with guaranteed positivity. J. Comput. Phys. 404 (2020) - [j26]Lianlei Lin, Naxian Ni, Zhiguo Yang, Suchuan Dong:
An energy-stable scheme for incompressible Navier-Stokes equations with periodically updated coefficient matrix. J. Comput. Phys. 418: 109624 (2020) - [i5]Yanxia Qian, Zhiguo Yang, Fei Wang, Suchuan Dong:
gPAV-Based Unconditionally Energy-Stable Schemes for the Cahn-Hilliard Equation: Stability and Error Analysis. CoRR abs/2006.08042 (2020) - [i4]Suchuan Dong, Naxian Ni:
A Method for Representing Periodic Functions and Enforcing Exactly Periodic Boundary Conditions with Deep Neural Networks. CoRR abs/2007.07442 (2020) - [i3]Suchuan Dong, Zongwei Li:
Local Extreme Learning Machines and Domain Decomposition for Solving Linear and Nonlinear Partial Differential Equations. CoRR abs/2012.02895 (2020)
2010 – 2019
- 2019
- [j25]Zhiguo Yang, Lianlei Lin, Suchuan Dong:
A family of second-order energy-stable schemes for Cahn-Hilliard type equations. J. Comput. Phys. 383: 24-54 (2019) - [j24]Lianlei Lin, Zhiguo Yang, Suchuan Dong:
Numerical approximation of incompressible Navier-Stokes equations based on an auxiliary energy variable. J. Comput. Phys. 388: 1-22 (2019) - [j23]Naxian Ni, Zhiguo Yang, Suchuan Dong:
Energy-stable boundary conditions based on a quadratic form: Applications to outflow/open-boundary problems in incompressible flows. J. Comput. Phys. 391: 179-215 (2019) - [j22]Zhiguo Yang, Suchuan Dong:
An unconditionally energy-stable scheme based on an implicit auxiliary energy variable for incompressible two-phase flows with different densities involving only precomputable coefficient matrices. J. Comput. Phys. 393: 229-257 (2019) - [j21]Zhicheng Wang, Suchuan Dong, Michael S. Triantafyllou, Yiannis Constantinides, George Em Karniadakis:
A stabilized phase-field method for two-phase flow at high Reynolds number and large density/viscosity ratio. J. Comput. Phys. 397 (2019) - [i2]Zhiguo Yang, Suchuan Dong:
A Roadmap for Discretely Energy-Stable Schemes for Dissipative Systems Based on a Generalized Auxiliary Variable with Guaranteed Positivity. CoRR abs/1904.00141 (2019) - [i1]Lianlei Lin, Naxian Ni, Zhiguo Yang, Suchuan Dong:
An Energy-Stable Scheme for Incompressible Navier-Stokes Equations with Periodically Updated Coefficient Matrix. CoRR abs/1909.08395 (2019) - 2018
- [j20]Suchuan Dong:
Multiphase flows of N immiscible incompressible fluids: A reduction-consistent and thermodynamically-consistent formulation and associated algorithm. J. Comput. Phys. 361: 1-49 (2018) - [j19]Zhiguo Yang, Suchuan Dong:
Multiphase flows of N immiscible incompressible fluids: An outflow/open boundary condition and algorithm. J. Comput. Phys. 366: 33-70 (2018) - 2017
- [j18]Suchuan Dong:
Wall-bounded multiphase flows of N immiscible incompressible fluids: Consistency and contact-angle boundary condition. J. Comput. Phys. 338: 21-67 (2017) - 2015
- [j17]Suchuan Dong:
Physical formulation and numerical algorithm for simulating N immiscible incompressible fluids involving general order parameters. J. Comput. Phys. 283: 98-128 (2015) - [j16]Suchuan Dong, Jie Shen:
A pressure correction scheme for generalized form of energy-stable open boundary conditions for incompressible flows. J. Comput. Phys. 291: 254-278 (2015) - [j15]Suchuan Dong:
A convective-like energy-stable open boundary condition for simulations of incompressible flows. J. Comput. Phys. 302: 300-328 (2015) - [c5]Afzal Godil, Helin Dutagaci, Benjamin Bustos, Sungbin Choi, Suchuan Dong, Takahiko Furuya, Haisheng Li, Norman Link, A. Moriyama, Rafael Meruane, Ryutarou Ohbuchi, Dietrich Paulus, Tobias Schreck, Viktor Seib, Ivan Sipiran, Huarui Yin, C. Zhang:
Range Scans based 3D Shape Retrieval. 3DOR@Eurographics 2015: 153-160 - 2014
- [j14]Suchuan Dong, George E. Karniadakis, Chryssostomos Chryssostomidis:
A robust and accurate outflow boundary condition for incompressible flow simulations on severely-truncated unbounded domains. J. Comput. Phys. 261: 83-105 (2014) - [j13]Suchuan Dong:
An outflow boundary condition and algorithm for incompressible two-phase flows with phase field approach. J. Comput. Phys. 266: 47-73 (2014) - [j12]Suchuan Dong:
An efficient algorithm for incompressible N-phase flows. J. Comput. Phys. 276: 691-728 (2014) - 2012
- [j11]Suchuan Dong, Jie Shen:
A time-stepping scheme involving constant coefficient matrices for phase-field simulations of two-phase incompressible flows with large density ratios. J. Comput. Phys. 231(17): 5788-5804 (2012) - 2011
- [j10]X. Zheng, Suchuan Dong:
An eigen-based high-order expansion basis for structured spectral elements. J. Comput. Phys. 230(23): 8573-8602 (2011) - 2010
- [j9]Suchuan Dong:
BDF-like methods for nonlinear dynamic analysis. J. Comput. Phys. 229(8): 3019-3045 (2010) - [j8]Suchuan Dong, Jie Shen:
An unconditionally stable rotational velocity-correction scheme for incompressible flows. J. Comput. Phys. 229(19): 7013-7029 (2010)
2000 – 2009
- 2007
- [j7]Bruce M. Boghosian, Peter V. Coveney, Suchuan Dong, Lucas Finn, Shantenu Jha, George E. Karniadakis, Nicholas T. Karonis:
NEKTAR, SPICE and Vortonics: using federated grids for large scale scientific applications. Clust. Comput. 10(3): 351-364 (2007) - [j6]Joseph A. Insley, Michael E. Papka, Suchuan Dong, George E. Karniadakis, Nicholas T. Karonis:
Runtime Visualization of the Human Arterial Tree. IEEE Trans. Vis. Comput. Graph. 13(4): 810-821 (2007) - 2006
- [j5]Suchuan Dong, Joseph A. Insley, Nicholas T. Karonis, Michael E. Papka, Justin Binns, George E. Karniadakis:
Simulating and visualizing the human arterial system on the TeraGrid. Future Gener. Comput. Syst. 22(8): 1011-1017 (2006) - [c4]Bruce M. Boghosian, Peter V. Coveney, Suchuan Dong, Lucas Finn, Shantenu Jha, George E. Karniadakis, Nicholas T. Karonis:
NEKTAR, SPICE and Vortonics: using federated grids for large scale scientific applications. CLADE 2006: 34-42 - [c3]Suchuan Dong, Nicholas T. Karonis, George E. Karniadakis:
Grid solutions for biological and physical cross-site simulations on the TeraGrid. IPDPS 2006 - [c2]Leopold Grinberg, Suchuan Dong, James Noble, Alexander Yakhot, George E. Karniadakis, Nicholas T. Karonis:
Poster reception - Human arterial tree simulation on TeraGrid. SC 2006: 152 - 2005
- [j4]Suchuan Dong, George E. Karniadakis, Nicholas T. Karonis:
Cross-site computations on the TeraGrid. Comput. Sci. Eng. 7(5): 14-23 (2005) - [j3]Dongbin Xiu, Spencer J. Sherwin, Suchuan Dong, George E. Karniadakis:
Strong and Auxiliary Forms of the Semi-Lagrangian Method for Incompressible Flows. J. Sci. Comput. 25(1-2): 323-346 (2005) - 2004
- [j2]Suchuan Dong, George E. Karniadakis:
Multilevel Parallelization Models in CFD. J. Aerosp. Comput. Inf. Commun. 1(6): 256-268 (2004) - [j1]Suchuan Dong, George E. Karniadakis:
Dual-level parallelism for high-order CFD methods. Parallel Comput. 30(1): 1-20 (2004) - 2002
- [c1]Suchuan Dong, George E. Karniadakis:
Dual-level parallelism for deterministic and stochastic CFD problems. SC 2002: 42:1-42:17
Coauthor Index
aka: George E. Karniadakis
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