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M. Ellero

5 papers hereh-index 311 citations7 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn3
  • cond-mat.soft1
  • cs.LG1
same name
  • M. Ellero — 16 papers, h 27
  • M. Ellero — 7 papers, h 3
  • M. Ellero — 4 papers, h 4

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 citedHammering at the entropy: A GENERIC-guided approach to learning polymeric rheological constitutive equations using PINNs

2 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing physics.flu-dynShow all

3 papers · 1 filter

physics.flu-dyn2025

A semi-analytical solution for the lubrication force between two spheres approaching in viscoelastic fluids described by the Oldroyd-B model under small Deborah numbers

Alan Rosales-Romero, Adolfo Vázquez-Quesada, Marco Ellero +1

Viscoelastic fluids play a critical role in various engineering and biological applications, where their lubrication properties are strongly influenced by relaxation times ranging…

physics.flu-dyn2025

A GENERIC-guided active learning SPH method for viscoelastic fluids using Gaussian process regression

Xuekai Dong, David Nieto Simavilla, Jie Ouyang +2

When applying machine learning methods to learn viscoelastic constitutive relations, the polymer history dependence in viscoelastic fluids and the generalization ability of machine…

physics.flu-dyn2024★ 2 cited

Hammering at the entropy: A GENERIC-guided approach to learning polymeric rheological constitutive equations using PINNs

David Nieto Simavilla, Andrea Bonfanti, Imanol García de Beristain +2

We present a versatile framework that employs Physics-Informed Neural Networks (PINNs) to discover the entropic contribution that leads to the constitutive equation for the extra-s…

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