Published September 26, 2023 | Version v1
Dataset Open

Assessing non-Oberbeck-Boussinesq effects of convection in cryogenic helium

Authors/Creators

  • 1. ROR icon Czech Academy of Sciences, Institute of Scientific Instruments
  • 2. ROR icon Technische Universität Ilmenau
  • 3. ROR icon New York University

Description

The repository contains data and scripts related to the study of "Assessing non-Oberbeck-Boussinesq effects of convection in cryogenic helium." It includes experimental data and machine learning tools for analyzing deviations from the Oberbeck-Boussinesq approximation. Python scripts are provided to reproduce key figures and results from the associated publication.

Files

README.md

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Additional details

Related works

Is supplement to
Dataset: 10.1103/PhysRevFluids.8.094606 (DOI)

Funding

European Commission
MesoComp - Order at the Mesoscale: Connecting supercomputing of compressible convection to classical and quantum machine learning 101052786

Software

Programming language
Python