Conditioning and accurate solutions of Reynolds average Navier–Stokes equations with data-driven turbulence closures BP Brener, MA Cruz, RL Thompson, RP Anjos Journal of Fluid Mechanics 915, A110, 2021 | 51 | 2021 |
Pre-processing DNS data to improve statistical convergence and accuracy of mean velocity fields in invariant data-driven turbulence models EF Fonseca, VB Rangel, BP Brener, MA Cruz, RL Thompson Theoretical and Computational Fluid Dynamics 36 (3), 435-463, 2022 | 7 | 2022 |
A highly accurate strategy for data-driven turbulence modeling BP Brener, MA Cruz, MSS Macedo, RL Thompson Computational and Applied Mathematics 43 (1), 59, 2024 | 4 | 2024 |
An Invariant and Highly–Accurate Strategy for Data-driven Turbulence Modelling BP Brener, MA Cruz, MSS Macedo, RL Thompson Available at SSRN 4073177, 2022 | 3 | 2022 |
A data‐driven turbulence modeling for the Reynolds stress tensor transport equation MSS Macedo, MA Cruz, BP Brener, RL Thompson International Journal for Numerical Methods in Fluids, 2024 | 2 | 2024 |
Error propagation and conditioning analysis of DNS data of turbulent viscoelastic channel flows RS Martins, JR Andrade, BP Brener, RL Thompson, LEB Sampaio, ... Journal of Non-Newtonian Fluid Mechanics 296, 104632, 2021 | 1 | 2021 |