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researcher

S. Taverniers

3 papers hereh-index 6145 citations25 works total

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

author position
  • first author2
  • middle author1

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

fields
  • math.NA1
  • physics.comp-ph1
  • physics.flu-dyn1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedAccelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning

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

collaborators
Showing physics.comp-phShow all

1 paper · 1 filter

physics.comp-ph2020

GINNs: Graph-Informed Neural Networks for Multiscale Physics

Eric J. Hall, Søren Taverniers, Markos A. Katsoulakis +1

We introduce the concept of a Graph-Informed Neural Network (GINN), a hybrid approach combining deep learning with probabilistic graphical models (PGMs) that acts as a surrogate fo…

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