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Peter Benner

16 papers hereh-index 6107 citations21 works total

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

author position
  • middle author4
  • last author10

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • math.DS7
  • math.NA3
  • cs.CE2
  • cs.LG2
  • cond-mat.mtrl-sci1
  • stat.ML1
same name
  • Peter Benner — 8 papers, h 4
  • Peter Benner — 4 papers, h 1
  • Peter Benner — 3 papers, h 4
  • Peter Benner — 3 papers, h 1
  • Peter Benner — 3 papers, h 2
  • Peter Benner — 2 papers, h 2

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

activity
20242026
most citedNon-intrusive reduced-order modeling for dynamical systems with spatially localized features

8 citations · 21 across the 14 of their papers we have counts for

collaborators
Showing 2025 · math.DSShow all

3 papers · 2 filters

math.DS2025

Reduced-Order Inference with Structure-Preserving Parametrization for Bending and Rotating Systems

Yevgeniya Filanova, Igor Pontes Duff, Pawan Goyal +1

Mechanical systems are often characterized only by their response to certain loads known from experiments or simulations. The obtained data can be used for various purposes: system…

math.DS2025

A CFL-type Condition and Theoretical Insights for Discrete-Time Sparse Full-Order Model Inference

Leonidas Gkimisis, Süleyman Yıldız, Peter Benner +1

In this work, we investigate the data-driven inference of a discrete-time dynamical system via a sparse Full-Order Model (sFOM). We first formulate the involved Least Squares (LS)…

math.DS2025★ 8 cited

Non-intrusive reduced-order modeling for dynamical systems with spatially localized features

Leonidas Gkimisis, Nicole Aretz, Marco Tezzele +3

This work presents a non-intrusive reduced-order modeling framework for dynamical systems with spatially localized features characterized by slow singular value decay. The proposed…

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