Skip to main navigation Skip to search Skip to main content

a priori Uncertainty Quantification of Reacting Turbulence Closure Models Using Bayesian Neural Networks: Article No. 109821

  • University of Texas at Austin

Research output: Contribution to journal › Article › peer-review

2 Scopus Citations

Fingerprint

Dive into the research topics of 'a priori Uncertainty Quantification of Reacting Turbulence Closure Models Using Bayesian Neural Networks: Article No. 109821'. Together they form a unique fingerprint.
Sort by

Engineering

Mathematics

Material Science

Chemical Engineering