◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Van den Berghe

4 papers hereh-index 261 citations7 works total

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

author position
  • first author2
  • middle author2

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

fields
  • physics.flu-dyn3
  • eess.SY1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedArtificial Neural Networks Modelling of Wall Pressure Spectra Beneath Turbulent Boundary Layers

46 citations · 46 across the 1 of their papers we have counts for

collaborators
Showing physics.flu-dynShow all

3 papers · 1 filter

physics.flu-dyn2025

On the choking mechanism in supersonic ejectors: a one-dimensional analysis of Reynolds-Averaged Navier Stokes simulations

Jan Van den Berghe, Miguel A. Mendez, Yann Bartosiewicz

Ejectors are passive devices used in refrigeration, propulsion, and process industries to compress a secondary stream without moving parts. The engineering modeling of choking in t…

physics.flu-dyn2024

An extension of the compound flow theory with friction between the streams and at the wall

Jan Van den Berghe, Miguel Alfonso Mendez, Yann Bartosiewicz

Compound flows consist of two or more parallel compressible streams in a duct and their theoretical treatment has gained attention for the analysis and modelling of ejectors. Recen…

physics.flu-dyn2022★ 46 cited

Artificial Neural Networks Modelling of Wall Pressure Spectra Beneath Turbulent Boundary Layers

J. Dominique, J. Van den Berghe, C. Schram +1

We analyse and compare various empirical models of wall pressure spectra beneath turbulent boundary layers and propose an alternative machine learning approach using Artificial Neu…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.