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B. R. Noack

Harbin Institute of Technology

55 papers hereh-index 5416.4k citations354 works total

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

author position
  • first author1
  • middle author25
  • last author26

Across the 52 of 55 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn49
  • physics.data-an2
  • cs.LG1
  • cs.NE1
  • math.DS1
  • nlin.CD1
affiliations
  • Harbin Institute of Technology
Homepage
same name
  • B. R. Noack — 5 papers, h 10

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
20122023
most citedMachine Learning for Fluid Mechanics

2.9k citations · 5.6k across the 52 of their papers we have counts for

collaborators
Showing 2017 · physics.flu-dynShow all

3 papers · 2 filters

physics.flu-dyn2017★ 21 cited

Metric for attractor overlap

Rishabh Ishar, Eurika Kaiser, Marek Morzynski +6

We present the first general metric for attractor overlap (MAO) facilitating an unsupervised comparison of flow data sets. The starting point is two or more attractors, i.e., ensem…

physics.flu-dyn2017★ 236 cited

Sparse reduced-order modeling : Sensor-based dynamics to full-state estimation

Jean-Christophe Loiseau, Bernd R. Noack, Steven L. Brunton

We propose a general dynamic reduced-order modeling framework for typical experimental data: time-resolved sensor data and optional non-time-resolved PIV snapshots. This framework…

physics.flu-dyn2017

Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk

Ruiying Li, Bernd R. Noack, Laurent Cordier +3

We advance Machine Learning Control (MLC), a recently proposed model-free control framework which explores and exploits strongly nonlinear dynamics in an unsupervised manner. The a…

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