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researcher

David Pardo

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.NA3
  • physics.geo-ph1
ORCID 0000-0002-1101-2248
same name
  • David Pardo — 5 papers, h 31
  • David Pardo — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedMachine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis

2 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing math.NAShow all

3 papers · 1 filter

math.NA2024

Adaptive Deep Fourier Residual method via overlapping domain decomposition

Jamie M. Taylor, Manuela Bastidas, Victor M. Calo +1

The Deep Fourier Residual (DFR) method is a specific type of variational physics-informed neural networks (VPINNs). It provides a robust neural network-based solution to partial di…

math.NA2023

Deep Fourier Residual method for solving time-harmonic Maxwell's equations

Jamie M. Taylor, Manuela Bastidas, David Pardo +1

Solving PDEs with machine learning techniques has become a popular alternative to conventional methods. In this context, Neural networks (NNs) are among the most commonly used mach…

math.NA2023★ 2 cited

Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis

Tomas Teijeiro, Jamie M. Taylor, Ali Hashemian +1

We propose the use of machine learning techniques to find optimal quadrature rules for the construction of stiffness and mass matrices in isogeometric analysis (IGA). We initially…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.