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I. Tomas

3 papers here

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author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • math.NA3

identity via Semantic Scholar / OpenAlex

most citedThermodynamically consistent physics-informed neural networks for hyperbolic systems

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing math.NAShow all

3 papers · 1 filter

math.NA2022

Diagonally implicit Runge-Kutta schemes: Discrete energy-balance laws and compactness properties

Abner J. Salgado, Ignacio Tomas

We study diagonally implicit Runge-Kutta (DIRK) schemes when applied to abstract evolution problems that fit into the Gelfand-triple framework. We introduce novel stability notions…

math.NA2020★ 1 cited

Thermodynamically consistent physics-informed neural networks for hyperbolic systems

Ravi G. Patel, Indu Manickam, Nathaniel A. Trask +4

Physics-informed neural network architectures have emerged as a powerful tool for developing flexible PDE solvers which easily assimilate data, but face challenges related to the P…

math.NA2020

Second-order invariant domain preserving approximation of the compressible Navier--Stokes equations

Jean-Luc Guermond, Matthias Maier, Bojan Popov +1

We present a fully discrete approximation technique for the compressible Navier-Stokes equations that is second-order accurate in time and space, semi-implicit, and guaranteed to b…

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