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ORCIDSashikumaar Ganesan
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2020 – today
- 2024
[j17]Sangeeta Yadav
, Sashikumaar Ganesan:
Artificial neural network-augmented stabilized finite element method. J. Comput. Phys. 499: 112702 (2024)- [j16]Thivin Anandh, Divij Ghose, Sashikumaar Ganesan:
FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks. J. Open Source Softw. 9(99): 6764 (2024) - [i9]Thivin Anandh, Divij Ghose, Himanshu Jain, Sashikumaar Ganesan:
FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries. CoRR abs/2404.12063 (2024) - [i8]Thivin Anandh, Divij Ghose, Ankit Tyagi, Abhineet Gupta, Suranjan Sarkar, Sashikumaar Ganesan:
An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations. CoRR abs/2409.04143 (2024) - [i7]Thivin Anandh, Divij Ghose, Himanshu Jain, Pratham Sunkad, Sashikumaar Ganesan, Volker John:
Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems. CoRR abs/2411.09329 (2024) - 2022
- [j15]Deepika Garg, Sashikumaar Ganesan:
Generalized local projection stabilized nonconforming finite element methods for Darcy equations. Numer. Algorithms 89(1): 341-369 (2022) - [c6]Subodh M. Joshi, Thivin Anandh, Sashikumaar Ganesan:
A Deep Learning Simulation Framework for Building Digital Twins of Wind Farms: Concepts and Roadmap. SIMULTECH 2022: 356-363 - 2021
- [j14]Birupaksha Pal, Sashikumaar Ganesan:
An a priori error analysis for a projection based variational multiscale finite element method for Oseen problems in a time-dependent domain. Comput. Math. Appl. 82: 130-147 (2021) - [c5]Sangeeta Yadav, Sashikumaar Ganesan:
SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique. ACML 2021: 268-283 - [i6]Sashikumaar Ganesan, Maneesh Kumar Singh:
An Operator-Splitting Finite Element Method for the Numerical Solution of Radiative Transfer Equation. CoRR abs/2112.07949 (2021) - 2020
- [i5]Sashikumaar Ganesan, Manan Shah:
SParSH-AMG: A library for hybrid CPU-GPU algebraic multigrid and preconditioned iterative methods. CoRR abs/2007.00056 (2020) - [i4]Deepika Garg, Sashikumaar Ganesan:
Generalized local projection stabilized finite element method for advection-reaction problems. CoRR abs/2009.00532 (2020) - [i3]Deepika Garg, Sashikumaar Ganesan:
An overlapping local projection stabilization for Galerkin approximations of Darcy and Stokes problems. CoRR abs/2009.00571 (2020)
2010 – 2019
- 2019
- [c4]Sangeeta Yadav, Sashikumaar Ganesan:
How Deep Learning performs with Singularly Perturbed Problems? AIKE 2019: 293-297 - [c3]Neha Iyer, Sashikumaar Ganesan:
Parallel Smoothers in Multigrid Method for Heterogeneous CPU-GPU Environment. PARCO 2019: 114-123 - 2017
- [j13]Sashikumaar Ganesan, Shweta Srivastava:
ALE-SUPG finite element method for convection-diffusion problems in time-dependent domains: Conservative form. Appl. Math. Comput. 303: 128-145 (2017) - [j12]Satish Kumar, Sashikumaar Ganesan:
Numerical simulation of nanocrystal synthesis in a microfluidic reactor. Comput. Chem. Eng. 96: 128-138 (2017) - [j11]Sashikumaar Ganesan, Shangerganesh Lingeshwaran:
Galerkin finite element method for cancer invasion mathematical model. Comput. Math. Appl. 73(12): 2603-2617 (2017) - [j10]Ulrich Wilbrandt, Clemens Bartsch, Naveed Ahmed, Najib Alia, Felix Anker, Laura Blank, Alfonso Caiazzo, Sashikumaar Ganesan, Swetlana Giere, Gunar Matthies, Raviteja Meesala, Abdus Shamim, Jagannath Venkatesan, Volker John:
ParMooN - A modernized program package based on mapped finite elements. Comput. Math. Appl. 74(1): 74-88 (2017) - [j9]Sashikumaar Ganesan, Shangerganesh Lingeshwaran:
A biophysical model of tumor invasion. Commun. Nonlinear Sci. Numer. Simul. 46: 135-152 (2017) - [i2]Ulrich Wilbrandt, Clemens Bartsch, Naveed Ahmed, Najib Alia, Felix Anker, Laura Blank, Alfonso Caiazzo, Sashikumaar Ganesan, Swetlana Giere, Gunar Matthies, Raviteja Meesala, Abdus Shamim, Jagannath Venkatesan, Volker John:
ParMooN - a modernized program package based on mapped finite elements. CoRR abs/1705.08784 (2017) - 2016
- [c2]Sashikumaar Ganesan, Volker John, Gunar Matthies, Raviteja Meesala, Shamim Abdus, Ulrich Wilbrandt:
An Object Oriented Parallel Finite Element Scheme for Computations of PDEs: Design and Implementation. HiPC Workshops 2016: 106-115 - [i1]Sashikumaar Ganesan, Volker John, Gunar Matthies, Raviteja Meesala, Shamim Abdus, Ulrich Wilbrandt:
An object oriented parallel finite element scheme for computations of PDEs: Design and implementation. CoRR abs/1609.04809 (2016) - 2015
- [j8]Felix Anker, Sashikumaar Ganesan, Volker John, Ellen Schmeyer:
A comparative study of a direct discretization and an operator-splitting solver for population balance systems. Comput. Chem. Eng. 75: 95-104 (2015) - [j7]Sashikumaar Ganesan:
Simulations of impinging droplets with surfactant-dependent dynamic contact angle. J. Comput. Phys. 301: 178-200 (2015) - [c1]Jagannath Venkatesan, Sashikumaar Ganesan:
On the Navier-Slip Boundary Condition for Computations of Impinging Droplets. HiPC Workshops 2015: 2-11 - 2013
- [j6]Sashikumaar Ganesan, Lutz Tobiska:
Operator-splitting finite element algorithms for computations of high-dimensional parabolic problems. Appl. Math. Comput. 219(11): 6182-6196 (2013) - 2012
- [j5]Sashikumaar Ganesan, Lutz Tobiska:
Arbitrary Lagrangian-Eulerian finite-element method for computation of two-phase flows with soluble surfactants. J. Comput. Phys. 231(9): 3685-3702 (2012) - 2010
- [j4]Sashikumaar Ganesan, Lutz Tobiska:
Stabilization by Local Projection for Convection-Diffusion and Incompressible Flow Problems. J. Sci. Comput. 43(3): 326-342 (2010)
2000 – 2009
- 2009
- [j3]Sashikumaar Ganesan, Lutz Tobiska:
A coupled arbitrary Lagrangian-Eulerian and Lagrangian method for computation of free surface flows with insoluble surfactants. J. Comput. Phys. 228(8): 2859-2873 (2009) - 2008
- [j2]Sashikumaar Ganesan, Gunar Matthies, Lutz Tobiska:
Local projection stabilization of equal order interpolation applied to the Stokes problem. Math. Comput. 77(264): 2039-2060 (2008) - 2005
- [j1]Sashikumaar Ganesan, Volker John:
Pressure separation--a technique for improving the velocity error in finite element discretisations of the Navier-Stokes equations. Appl. Math. Comput. 165(2): 275-290 (2005)
Coauthor Index
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