David Pardo - RankMe

122 papers B 1Misc 21Journal 93Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Least-Squares-Based Regularity-Conforming Neural Networks (LS-ReCoNNs) for Solving Parametric Transmission Problems. CoRR Shima Baharlouei, Jamie M. Taylor, David Pardo
2026	J	`jnl`	An r -adaptive finite element method using neural networks for parametric self-adjoint elliptic problems. J. Comput. Phys. Danilo Aballay, Federico Fuentes, Vicente Iligaray, Angel Javier Omella, David Pardo, Manuel A. Sánchez, Ignacio Tapia, Carlos Uriarte
2026	J	`jnl`	Artificial intelligence and high-performance computing for advanced simulations. J. Comput. Sci. Maciej Paszynski, David Pardo, Barbara Strug
2026	J	`jnl`	Efficient numerical integration for finite element trunk spaces in 2D and 3D using machine learning: A new optimisation paradigm to construct application-Specific quadrature rules. J. Comput. Phys. Tomás Teijeiro, Pouria Behnoudfar, Jamie M. Taylor, David Pardo, Victor M. Calo
2026	J	`jnl`	Gabor-enhanced physics-informed neural networks for fast simulations of acoustic wavefields. Neural Networks Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah
2026	J	`jnl`	Least-squares-embedded optimization for accelerated convergence of PINNs in high-frequency acoustic wavefield simulations. Comput. Geosci. Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah
2026	J	`jnl`	RUNNs: Ritz-Uzawa Neural Networks for Solving Variational Problems. CoRR Pablo Herrera, Jamie M. Taylor, Carlos Uriarte, Ignacio Muga, David Pardo, Kristoffer G. van der Zee
2026	J	`jnl`	Stochastic quadrature rules for solving PDEs using neural networks. Comput. Math. Appl. Jamie M. Taylor, David Pardo
2025	B	`conf`	A Matter of Height: The Impact of a Robotic Object on Human Compliance. RO-MAN Michael Faber, Andrey Grishko, Julian Waksberg, David Pardo, Tomer Leivy, Yuval Hazan, Emanuel Talmansky, Benny Megidish, Hadas Erel
2025	J	`jnl`	A Matter of Height: The Impact of a Robotic Object on Human Compliance. CoRR Michael Faber, Andrey Grishko, Julian Waksberg, David Pardo, Tomer Leivy, Yuval Hazan, Emanuel Talmansky, Benny Megidish, Hadas Erel
2025	J	`jnl`	An CoRR Danilo Aballay, Federico Fuentes, Vicente Iligaray, Angel Javier Omella, David Pardo, Manuel A. Sánchez, Ignacio Tapia, Carlos Uriarte
2025	J	`jnl`	Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics. CoRR Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, David Pardo, Jose Ignacio Aizpurua
2025	J	`jnl`	Deep Fourier Residual method for solving time-harmonic Maxwell's equations. J. Comput. Phys. Jamie M. Taylor, Manuela Bastidas, David Pardo, Ignacio Muga
2025	J	`jnl`	Efficient Numerical Integration for Finite Element Trunk Spaces in 2D and 3D using Machine Learning: A new Optimisation Paradigm to Construct Application-Specific Quadrature Rules. CoRR Tomás Teijeiro, Pouria Behnoudfar, Jamie M. Taylor, David Pardo, Victor M. Calo
2025	J	`jnl`	Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields. CoRR Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah
2025	J	`jnl`	Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations. CoRR Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah
2025	J	`jnl`	Optimizing Variational Physics-Informed Neural Networks Using Least Squares. Comput. Math. Appl. Carlos Uriarte, Manuela Bastidas, David Pardo, Jamie M. Taylor, Sergio Rojas
2025	J	`jnl`	Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework. Eng. Comput. Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava, Victor M. Calo, Markus Towara
2025	J	`jnl`	Regularity-conforming neural networks (ReCoNNs) for solving partial differential equations. J. Comput. Phys. Jamie M. Taylor, David Pardo, Judit Muñoz-Matute
2025	J	`jnl`	Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants. Eng. Appl. Artif. Intell. Ibai Ramirez, Joel Pino, David Pardo, Mikel Sanz, Luis Del Rio, Alvaro Ortiz, Kateryna Morozovska, Jose Ignacio Aizpurua
2025	J	`jnl`	Stochastic Quadrature Rules for Solving PDEs using Neural Networks. CoRR Jamie M. Taylor, David Pardo
2024	J	`jnl`	A Least-Squares-Based Neural Network (LS-Net) for Solving Linear Parametric PDEs. CoRR Shima Baharlouei, Jamie M. Taylor, Carlos Uriarte, David Pardo
2024	J	`jnl`	Adaptive Deep Fourier Residual method via overlapping domain decomposition. CoRR Jamie M. Taylor, Manuela Bastidas, Victor M. Calo, David Pardo
2024	J	`jnl`	Ensemble Deep Learning for Enhanced Seismic Data Reconstruction. IEEE Trans. Geosci. Remote. Sens. Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah
2024	J	`jnl`	Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. Comput. Math. Appl. Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee
2024	J	`jnl`	Optimizing Variational Physics-Informed Neural Networks Using Least Squares. CoRR Carlos Uriarte, Manuela Bastidas, David Pardo, Jamie M. Taylor, Sergio Rojas
2024	J	`jnl`	Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework. CoRR Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava, Victor M. Calo, Markus Towara
2024	J	`jnl`	Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations. CoRR Jamie M. Taylor, David Pardo, Judit Muñoz-Matute
2024	J	`jnl`	Residual-based Attention Physics-informed Neural Networks for Efficient Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable Power Plants. CoRR Ibai Ramirez, Joel Pino, David Pardo, Mikel Sanz, Luis Del Rio, Alvaro Ortiz, Kateryna Morozovska, Jose Ignacio Aizpurua
2023	J	`jnl`	An exponential integration generalized multiscale finite element method for parabolic problems. J. Comput. Phys. Luis F. Contreras, David Pardo, Eduardo Abreu, Judit Muñoz-Matute, Ciro Díaz, Juan Galvis
2023	J	`jnl`	Deep Fourier Residual method for solving time-harmonic Maxwell's equations. CoRR Jamie M. Taylor, Manuela Bastidas, David Pardo, Ignacio Muga
2023	J	`jnl`	Fast parallel IGA-ADS solver for time-dependent Maxwell's equations. Comput. Math. Appl. Marcin Los, Maciej Wozniak, Keshav Pingali, Luis E. García-Castillo, Julen Álvarez-Aramberri, David Pardo, Maciej Paszynski
2023	J	`jnl`	Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. CoRR Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee
2023	J	`jnl`	Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis. CoRR Tomás Teijeiro, Jamie M. Taylor, Ali Hashemian, David Pardo
2023	—	`conf`	Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks. ICCS (2) Carlos Uriarte, Jamie M. Taylor, David Pardo, Oscar A. Rodríguez, Patrick Vega
2023	J	`jnl`	Robust Variational Physics-Informed Neural Networks. CoRR Sergio Rojas, Pawel Maczuga, Judit Muñoz-Matute, David Pardo, Maciej Paszynski
2022	—	`conf`	1D Painless Multi-level Automatic Goal-Oriented h and p Adaptive Strategies Using a Pseudo-Dual Operator. ICCS (1) Felipe Vinicio Caro, Vincent Darrigrand, Julen Álvarez-Aramberri, Elisabete Alberdi Celaya, David Pardo
2022	J	`jnl`	2.5-D Deep Learning Inversion of LWD and Deep-Sensing EM Measurements Across Formations With Dipping Faults. IEEE Geosci. Remote. Sens. Lett. Kyubo Noh, David Pardo, Carlos Torres-Verdín
2022	J	`jnl`	A Deep Double Ritz Method (D CoRR Carlos Uriarte, David Pardo, Ignacio Muga, Judit Muñoz-Matute
2022	J	`jnl`	A Deep Fourier Residual Method for solving PDEs using Neural Networks. CoRR Jamie M. Taylor, David Pardo, Ignacio Muga
2022	J	`jnl`	A Multidirectional Deep Neural Network for Self-Supervised Reconstruction of Seismic Data. IEEE Trans. Geosci. Remote. Sens. Mohammad Mahdi Abedi, David Pardo
2022	J	`jnl`	Automated machine learning for borehole resistivity measurements. CoRR Mostafa Shahriari, David Pardo, S. Kargaran, Tomás Teijeiro
2022	J	`jnl`	r-Adaptive Deep Learning Method for Solving Partial Differential Equations. CoRR Angel Javier Omella, David Pardo
2021	—	`conf`	Deep Learning Driven Self-adaptive Hp Finite Element Method. ICCS (1) Maciej Paszynski, Rafal Wojciech Grzeszczuk, David Pardo, Leszek F. Demkowicz
2021	J	`jnl`	Deep-Learning Inversion Method for the Interpretation of Noisy Logging-While-Drilling Resistivity Measurements. CoRR Kyubo Noh, David Pardo, Carlos Torres-Verdín
2021	J	`jnl`	Design of borehole resistivity measurement acquisition systems using deep learning. CoRR Mostafa Shahriari, Arijit Hazra, David Pardo
2021	J	`jnl`	Equivalence between the DPG method and the exponential integrators for linear parabolic problems. J. Comput. Phys. Judit Muñoz-Matute, David Pardo, Leszek F. Demkowicz
2021	J	`jnl`	Massive database generation for 2.5D borehole electromagnetic measurements using refined isogeometric analysis. Comput. Geosci. Ali Hashemian, Daniel García, Jon Ander Rivera, David Pardo
2021	J	`jnl`	On quadrature rules for solving Partial Differential Equations using Neural Networks. CoRR Jon Ander Rivera, Jamie M. Taylor, Angel Javier Omella, David Pardo
2021	J	`jnl`	Performance of Refined Isogeometric Analysis in Solving Quadratic Eigenvalue Problems. CoRR Ali Hashemian, Daniel García, David Pardo, Victor M. Calo
2020	J	`jnl`	Database Generation for Deep Learning Inversion of 2.5D Borehole Electromagnetic Measurements using Refined Isogeometric Analysis. CoRR Ali Hashemian, Daniel García, Jon Ander Rivera, David Pardo
2020	—	`conf`	Design of Loss Functions for Solving Inverse Problems Using Deep Learning. ICCS (3) Jon Ander Rivera, David Pardo, Elisabete Alberdi
2020	J	`jnl`	Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements. CoRR Mostafa Shahriari, David Pardo, J. A. Rivera, Carlos Torres-Verdín, Artzai Picón, Javier Del Ser, S. Ossandón, Victor M. Calo
2020	J	`jnl`	Modeling extra-deep EM logs using a deep neural network. CoRR Sergey Alyaev, Mostafa Shahriari, David Pardo, Angel Javier Omella, David Larsen, Nazanin Jahani, Erich Suter
2020	J	`jnl`	Refined isogeometric analysis for generalized Hermitian eigenproblems. CoRR Ali Hashemian, David Pardo, Victor M. Calo
2020	J	`jnl`	Residual minimization for goal-oriented adaptivity. CoRR Sergio Rojas, David Pardo, Pouria Behnoudfar, Victor M. Calo
2019	J	`jnl`	Parallel Refined Isogeometric Analysis in 3D. IEEE Trans. Parallel Distributed Syst. Leszek Siwik, Maciej Wozniak, Victor Trujillo, David Pardo, Victor Manuel Calo, Maciej Paszynski
2019	J	`jnl`	Source time reversal (STR) method for linear elasticity. Comput. Math. Appl. Ignacio Brevis, Ángel Rodríguez-Rozas, Jaime H. Ortega, David Pardo
2018	J	`jnl`	A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements. CoRR Mostafa Shahriari, David Pardo, Artzai Picón, Adrian Galdran, Javier Del Ser, Carlos Torres-Verdín
2018	J	`jnl`	Asymptotic models for the electric potential across a highly conductive casing. Comput. Math. Appl. A. Erdozain, Victor Péron, David Pardo
2018	J	`jnl`	Finite Element Approximation of Electromagnetic Fields Using Nonfitting Meshes for Geophysics. SIAM J. Numer. Anal. Théophile Chaumont-Frelet, Serge Nicaise, David Pardo
2017	J	`jnl`	A multi-objective memetic inverse solver reinforced by local optimization methods. J. Comput. Sci. Ewa Gajda-Zagórska, Robert Schaefer, Maciej Smolka, David Pardo, Julen Álvarez-Aramberri
2017	J	`jnl`	Dimensionally adaptive hp-finite element simulation and inversion of 2D magnetotelluric measurements. J. Comput. Sci. Julen Álvarez-Aramberri, David Pardo
2017	J	`jnl`	Fusion-Based Variational Image Dehazing. IEEE Signal Process. Lett. Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
2017	Misc	`conf`	Goal-Oriented p-Adaptivity using Unconventional Error Representations for a 1D Steady State Convection-Diffusion Problem. ICCS Vincent Darrigrand, Ángel Rodríguez-Rozas, David Pardo, Ignacio Muga
2017	Misc	`conf`	ICCS 2017 Workshop on Agent-Based Simulations, Adaptive Algorithms and Solvers. ICCS Aleksander Byrski, Maciej Paszynski, Robert Schaefer, Victor M. Calo, David Pardo
2017	Misc	`conf`	Optimally refined isogeometric analysis. ICCS Daniel García, Michael Barton, David Pardo
2016	Misc	`conf`	A Priori Fourier Analysis for 2.5D Finite Elements Simulations of Logging-while-drilling (LWD) Resistivity Measurements. ICCS Ángel Rodríguez-Rozas, David Pardo
2016	—	`conf`	Image processing applications through a variational perceptually-based color correction related to Retinex. Retinex at 50 Javier Vazquez-Corral, Syed Waqas Zamir, Adrian Galdran, David Pardo, Marcelo Bertalmío
2015	J	`jnl`	A hybrid method for inversion of 3D AC resistivity logging measurements. Appl. Soft Comput. Maciej Smolka, Ewa Gajda-Zagórska, Robert Schaefer, Maciej Paszynski, David Pardo
2015	J	`jnl`	A hybrid method for inversion of 3D DC resistivity logging measurements. Nat. Comput. Ewa Gajda-Zagórska, Robert Schaefer, Maciej Smolka, Maciej Paszynski, David Pardo
2015	J	`jnl`	A secondary field based hp-Finite Element Method for the simulation of magnetotelluric measurements. J. Comput. Sci. Julen Álvarez-Aramberri, David Pardo, Helene Barucq
2015	J	`jnl`	An Agent-Oriented Hierarchic Strategy for Solving Inverse Problems. Int. J. Appl. Math. Comput. Sci. Maciej Smolka, Robert Schaefer, Maciej Paszynski, David Pardo, Julen Álvarez-Aramberri
2015	J	`jnl`	Automatic Red-Channel underwater image restoration. J. Vis. Commun. Image Represent. Adrian Galdran, David Pardo, Artzai Picón, Aitor Alvarez-Gila
2015	J	`jnl`	Direct solvers performance on h-adapted grids. Comput. Math. Appl. Maciej Paszynski, David Pardo, Victor M. Calo
2015	J	`jnl`	Enhanced Variational Image Dehazing. SIAM J. Imaging Sci. Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
2015	J	`jnl`	Goal-oriented adaptivity using unconventional error representations for the 1D Helmholtz equation. Comput. Math. Appl. Vincent Darrigrand, David Pardo, Ignacio Muga
2015	J	`jnl`	High-accuracy adaptive modeling of the energy distribution of a meniscus-shaped cell culture in a Petri dish. J. Comput. Sci. Ignacio Gómez-Revuelto, Luis E. García-Castillo, David Pardo
2015	J	`jnl`	Impact of element-level static condensation on iterative solver performance. Comput. Math. Appl. David Pardo, Julen Álvarez-Aramberri, Maciej Paszynski, Lisandro Dalcín, Victor M. Calo
2015	Misc	`conf`	Multi-objective Hierarchic Memetic Solver for Inverse Parametric Problems. ICCS Ewa Gajda-Zagórska, Maciej Smolka, Robert Schaefer, David Pardo, Julen Álvarez-Aramberri
2015	Misc	`conf`	Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition. IbPRIA Adrian Galdran, Artzai Picón, Estíbaliz Garrote, David Pardo
2015	J	`jnl`	Petri Nets Modeling of Dead-End Refinement Problems in a 3D Anisotropic hp-Adaptive Finite Element Method. Comput. Informatics Arkadiusz Szymczak, Maciej Paszynski, David Pardo, Anna Paszynska
2015	Misc	`conf`	Quantities of Interest for Surface based Resistivity Geophysical Measurements. ICCS Julen Álvarez-Aramberri, Shaaban Ali Bakr, David Pardo, Helene Barucq
2015	J	`jnl`	Semi-analytical response of acoustic logging measurements in frequency domain. Comput. Math. Appl. Ignacio Muga, David Pardo, Pawel Jerzy Matuszyk, Carlos Torres-Verdín
2014	J	`jnl`	3D hp-adaptive finite element simulations of bend, step, and magic-T electromagnetic waveguide structures. J. Comput. Sci. I. Gómez-Revuelto, L. E. García-Castillo, Sergio Llorente-Romano, David Pardo
2014	—	`conf`	A Variational Framework for Single Image Dehazing. ECCV Workshops (3) Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
2014	Misc	`conf`	Automatically Adapted Perfectly Matched Layers for Problems with High Contrast Materials Properties. ICCS Julen Álvarez-Aramberri, David Pardo, Helene Barucq
2014	J	`jnl`	Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers. Comput. Math. Appl. Maciej Wozniak, Krzysztof Kuznik, Maciej Paszynski, Victor M. Calo, David Pardo
2013	J	`jnl`	A direct solver with reutilization of LU factorizations for Comput. Math. Appl. Maciej Paszynski, David Pardo, Victor M. Calo
2013	J	`jnl`	Domain decomposition Fourier finite element method for the simulation of 3D marine CSEM measurements. J. Comput. Phys. Shaaban Ali Bakr, David Pardo, Trond Mannseth
2013	Misc	`conf`	High-Accuracy Adaptive Simulations of a Petri Dish Exposed to Electromagnetic Radiation. ICCS I. Gómez-Revuelto, L. E. García-Castillo, David Pardo
2013	Misc	`conf`	Inversion of Magnetotelluric Measurements Using Multigoal Oriented hp-Adaptivity. ICCS Julen Álvarez-Aramberri, David Pardo, Helene Barucq
2013	J	`jnl`	Preface. J. Comput. Sci. Maciej Paszynski, Krzysztof Cetnarowicz, Robert Schaefer, David Pardo, Victor M. Calo
2013	J	`jnl`	Preventing deadlock during anisotropic 2D mesh adaptation in hp-adaptive FEM. J. Comput. Sci. Arkadiusz Szymczak, Anna Paszynska, Maciej Paszynski, David Pardo
2013	J	`jnl`	The Cost of Continuity: Performance of Iterative Solvers on Isogeometric Finite Elements. SIAM J. Sci. Comput. Nathan O. Collier, Lisandro Dalcín, David Pardo, Victor M. Calo
2013	J	`jnl`	hp-HGS strategy for inverse AC/DC resistivity logging measurement simulations. Comput. Sci. Ewa Gajda-Zagórska, Maciej Paszynski, Robert Schaefer, David Pardo
2012	Misc	`conf`	3D hp-Adaptive Finite Element Simulations of a Magic-T Electromagnetic Waveguide Structure. ICCS I. Gómez-Revuelto, L. E. García-Castillo, Sergio Llorente-Romano, David Pardo
2012	J	`jnl`	A direct solver with reutilization of previously-computed LU factorizations for h-adaptive finite element grids with point singularities CoRR Maciej Paszynski, Victor M. Calo, David Pardo
2012	J	`jnl`	Computational complexity and memory usage for multi-frontal direct solvers in structured mesh finite elements CoRR Nathan O. Collier, David Pardo, Maciej Paszynski, Victor M. Calo
2012	Misc	`conf`	On Round-off Error for Adaptive Finite Element Methods. ICCS Julen Álvarez-Aramberri, David Pardo, Maciej Paszynski, Nathan O. Collier, Lisandro Dalcín, Victor M. Calo
2012	Misc	`conf`	Petri Nets for Detecting a 3D Deadlock Problem in Hp-adaptive Finite Element Simulations. ICCS Anna Paszynska, Maciej Paszynski, Arkadiusz Szymczak, David Pardo
2012	J	`jnl`	Solution of the 3D-Helmholtz equation in exterior domains using spherical harmonic decomposition. Comput. Math. Appl. Gorka Garate, Ernesto G. Vadillo, Javier Santamaria, David Pardo
2012	J	`jnl`	The cost of continuity: performance of iterative solvers on isogeometric finite elements CoRR Nathan O. Collier, Lisandro Dalcín, David Pardo, Victor M. Calo
2012	Misc	`conf`	hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations. ICCS Ewa Gajda-Zagórska, Maciej Paszynski, Robert Schaefer, David Pardo, Victor M. Calo
2011	J	`jnl`	A class of discontinuous Petrov-Galerkin methods. Part IV: The optimal test norm and time-harmonic wave propagation in 1D. J. Comput. Phys. J. Zitelli, Ignacio Muga, Leszek F. Demkowicz, Jayadeep Gopalakrishnan, David Pardo, Victor M. Calo
2011	Misc	`conf`	Anisotropic 2D mesh adaptation in hp-adaptive FEM. ICCS Arkadiusz Szymczak, Anna Paszynska, Maciej Paszynski, David Pardo
2011	Misc	`conf`	Computational complexity and memory usage for multi-frontal direct solvers used in p finite element analysis. ICCS Victor M. Calo, Nathan O. Collier, David Pardo, Maciej Paszynski
2011	Misc	`conf`	Goal-Oriented Self-Adaptive hp Finite Element Simulation of 3D DC Borehole Resistivity Simulations. ICCS Victor M. Calo, David Pardo, Maciej Paszynski
2011	J	`jnl`	Multi-frontal Solver for Simulations of Linear Elasticity coupled with Acoustics. Comput. Sci. Maciej Paszynski, Tomasz Jurczyk, David Pardo
2011	Misc	`conf`	Out-of-core multi-frontal solver for multi-physics hp adaptive problems. ICCS Maciej Paszynski, David Pardo, Anna Paszynska, Leszek F. Demkowicz
2011	J	`jnl`	Simulation of wireline sonic logging measurements acquired with Borehole-Eccentered tools using a high-order adaptive finite-element method. J. Comput. Phys. David Pardo, Pawel Jerzy Matuszyk, Ignacio Muga, Carlos Torres-Verdín, Angel Mora, Victor M. Calo
2010	J	`jnl`	A parallel direct solver for the self-adaptive hp Finite Element Method. J. Parallel Distributed Comput. Maciej Paszynski, David Pardo, Carlos Torres-Verdín, Leszek F. Demkowicz, Victor M. Calo
2010	Misc	`conf`	Agent-based computing, adaptive algorithms and bio computing. ICCS Krzysztof Cetnarowicz, Maciej Paszynski, David Pardo, Tibor Bosse, Han La Poutré
2010	J	`jnl`	Arithmetic Method of Double-Injection-Electrode Model for Resistivity Measurement Through Metal Casing. IEEE Trans. Geosci. Remote. Sens. Qing Chen, David Pardo, Hongbin Li, Furong Wang, Qi-zheng Ye
2010	J	`jnl`	Graph Grammar Based Petri Net Controlled Direct Solver Algorithm. Comput. Sci. Arkadiusz Szymczak, Maciej Paszynski, David Pardo
2010	Misc	`conf`	Multigoal-oriented adaptivity for hp-finite element methods. ICCS David Pardo
2010	Misc	`conf`	Parallel multi-frontal solver for multi-physics p adaptive problems. ICCS Maciej Paszynski, David Pardo, Anna Paszynska
2010	J	`jnl`	Parallel multi-frontal solver for p adaptive finite element modeling of multi-physics computational problems. J. Comput. Sci. Maciej Paszynski, David Pardo, Anna Paszynska
2008	J	`jnl`	PML Enhanced with a Self-Adaptive Goal-Oriented hp-Finite Element Method: Simulation of Through-Casing Borehole Resistivity Measurements. SIAM J. Sci. Comput. David Pardo, Leszek F. Demkowicz, Carlos Torres-Verdín, C. Michler
2006	—	`conf`	Parallel hp-Finite Element Simulations of 3D Resistivity Logging Instruments. CE Maciej Paszynski, David Pardo, Leszek F. Demkowicz, Carlos Torres-Verdín
2006	J	`jnl`	Simulation of multifrequency borehole resistivity measurements through metal casing using a goal-oriented hp finite-element method. IEEE Trans. Geosci. Remote. Sens. David Pardo, Carlos Torres-Verdín, Leszek F. Demkowicz
2006	J	`jnl`	Two-Dimensional High-Accuracy Simulation of Resistivity Logging-While-Drilling (LWD) Measurements Using a Self-Adaptive Goal-Oriented hp Finite Element Method. SIAM J. Appl. Math. David Pardo, Leszek F. Demkowicz, Carlos Torres-Verdín, Maciej Paszynski