Finite elements, design optimization, and nondestructive evaluation: A review in magnetics, and future directions in GPU-based, element-by-element coupled optimization and NDE SRH Hoole, VU Karthik, S Sivasuthan, A Rahunanthan, RS Thyagarajan, ... International Journal of Applied Electromagnetics and Mechanics 47 (3), 607-627, 2015 | 17 | 2015 |

A semi-discrete central scheme for the approximation of two-phase flows in three space dimensions F Pereira, A Rahunanthan Mathematics and Computers in Simulation 81 (10), 2296-2306, 2011 | 16 | 2011 |

A script-based, parameterized finite element mesh for design and NDE on a GPU S Sivasuthan, VU Karthik, A Rahunanthan, P Jayakumar, RS Thyagarajan, ... IETE Technical Review 32 (2), 94-103, 2015 | 15 | 2015 |

Faster, more accurate, parallelized inversion for shape optimization in electroheat problems on a graphics processing unit (GPU) with the real-coded genetic algorithm A Masmoudi, VU Karthik, S Sivasuthan, A Rahunanthan, RS Thyagarajan, ... COMPEL: The International Journal for Computation and Mathematics in …, 2015 | 12 | 2015 |

Rapid quantification of uncertainty in permeability and porosity of oil reservoirs for enabling predictive simulation V Ginting, F Pereira, A Rahunanthan Mathematics and Computers in Simulation 99, 139-152, 2014 | 12 | 2014 |

Numerical simulation of two-phase flows on a GPU F Pereira, A Rahunanthan Proceedings, High Performance Computing for Computational Science, 9 th …, 2010 | 11 | 2010 |

High-order W-methods A Rahunanthan, D Stanescu Journal of computational and applied mathematics 233 (8), 1798-1811, 2010 | 11 | 2010 |

Multi-physics Markov chain Monte Carlo methods for subsurface flows V Ginting, F Pereira, A Rahunanthan Mathematics and Computers in Simulation 118, 224-238, 2015 | 9 | 2015 |

A multi-stage Bayesian prediction framework for subsurface flows V Ginting, F Pereira, A Rahunanthan International Journal for Uncertainty Quantification 3 (6), 2013 | 8 | 2013 |

Multiple Markov Chains Monte Carlo Approach for Flow Forecasting in Porous Media V Ginting, F Pereira, A Rahunanthan Procedia Computer Science 9, 707-716, 2012 | 8 | 2012 |

Hysteretic enhancement of carbon dioxide trapping in deep aquifers A Rahunanthan, F Furtado, D Marchesin, M Piri Computational Geosciences 18 (6), 899-912, 2014 | 6 | 2014 |

A prefetching technique for prediction of porous media flows V Ginting, F Pereira, A Rahunanthan Computational Geosciences 18 (5), 661-675, 2014 | 6 | 2014 |

Electromagnetic Device Optimization: The Forking of Already Parallelized Threads on Graphics Processing Units. SRH Hoole, S Sivasuthan, VU Karthik, A Rahunanthan, RS Thyagarajan, ... Applied Computational Electromagnetics Society Journal 29 (9), 2014 | 6 | 2014 |

MacLean's model of flux penetration: Addressing stability SRH Hoole, A Rahunanthan, T Sivapriya, S Sutharsan IEEE transactions on magnetics 39 (3), 1187-1190, 2003 | 4 | 2003 |

Contaminant transport forecasting in the subsurface using a Bayesian framework A Al-Mamun, J Barber, V Ginting, F Pereira, A Rahunanthan Applied Mathematics and Computation, 124980, 2020 | 3 | 2020 |

Convergence analysis of MCMC methods for subsurface flow problems A Mamun, F Pereira, A Rahunanthan International Conference on Computational Science and Its Applications, 305-317, 2018 | 2 | 2018 |

Markov chain Monte Carlo methods for fluid flow forecasting in the subsurface A Ali, A Al-Mamun, F Pereira, A Rahunanthan International Conference on Computational Science, 757-771, 2020 | 1 | 2020 |

Addressing Memory and Speed Problems in Nondestructive Defect Characterization: Element-by-Element Processing on a GPU S Sivasuthan, VU Karthik, A Rahunanthan, P Jayakumar, RS Thyagarajan, ... Journal of Nondestructive Evaluation 34 (2), 9, 2015 | 1 | 2015 |

Forecasting production in an oil reservoir simulation and its challenges V Ginting, F Pereira, A Rahunanthan Numerical Mathematics and Advanced Applications 2011, 693-701, 2013 | 1 | 2013 |

Stable interface conditions for discontinuous Galerkin approximations of Navier-Stokes equations A Rahunanthan, D Stanescu Journal of Scientific Computing 41 (1), 118-138, 2009 | 1 | 2009 |