Research graph
References from Parametric Dynamic Mode Decomposition with Sparse DNS-Informed Discrepancy Learning for Pulsatile Turbulent Pipe Flow. Local targets link to admitted publications; unresolved targets remain external evidence.
Effects of rolling motion on flow and heat transfer characteristics in a tube bundle channel
10.1016/j.applthermaleng.2022.119696 · 2023 · External reference
Research on the oscillation characteristic of thermal–hydraulic parameters for natural circulation conditions of small pressurized water reactors under rolling condition
10.1016/j.nucengdes.2025.114076 · 2025 · External reference
Time-delayed characteristics of turbulence in pulsatile pipe flow
10.1017/jfm.2023.1068 · 2024 · External reference
Application of the energy-dissipation model of turbulence to the calculation of flow near a spinning disc
10.1016/0094-4548(74)90150-7 · 1974 · External reference
Turbulence Models and Large Eddy Simulations Applied to Ascending Mixed Convection Flows
10.1007/s10494-012-9401-4 · 2012 · External reference
10.1017/cbo9780511919701
10.1017/cbo9780511919701 · 2012 · External reference
Dynamic mode decomposition of numerical and experimental data
10.1017/s0022112010001217 · 2010 · External reference
10.1137/1.9781611974508
10.1137/1.9781611974508 · 2016 · External reference
Model reduction for flow analysis and control
10.1146/annurev-fluid-010816-060042 · 2017 · External reference
A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems
10.1137/22m1481658 · 2023 · External reference
Parametric dynamic mode decomposition for reduced order modeling
10.1016/j.jcp.2022.111852 · 2023 · External reference
PyDMD: A Python Package for Robust Dynamic Mode Decomposition
10.5555/3708460.3708578 · 2024 · External reference
Turbulence Modeling in the Age of Data
10.1146/annurev-fluid-010518-040547 · 2019 · External reference
A paradigm for data-driven predictive modeling using field inversion and machine learning
10.1016/j.jcp.2015.11.012 · 2016 · External reference
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
10.1017/jfm.2016.615 · 2016 · External reference
Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks
10.1016/j.jcp.2019.01.021 · 2019 · External reference
Direct Numerical Simulation of Turbulent Pipe Flow at Moderately High Reynolds Numbers
10.1007/s10494-013-9482-8 · 2013 · External reference
Numerical and theoretical investigation of pulsatile turbulent channel flows
10.1017/jfm.2016.73 · 2016 · External reference
Numerical simulation of pulsating turbulent channel flow
10.1063/1.1359766 · 2001 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2026 · External reference
