Articles by Tarik Dzanic | Synthical

Synthical

Your space

Profile

Activity

Favorites

Folders

Feeds

Contacts

About

Claim page

Tarik Dzanic

Follow

Activity

Upvotes

Folders

Articles

19

PyFR v2.0.3: Towards Industrial Adoption of Scale-Resolving Simulations

29 August 2024 by Freddie Witherden and others

Computational Physics

A note on higher-order and nonlinear limiting approaches for continuously bounds-preserving discontinuous Galerkin methods

19 August 2024 by Tarik Dzanic

Numerical Analysis, Computational Physics

High-order limiting methods using maximum principle bounds derived from the Boltzmann equation I: Euler equations

30 July 2024 by Tarik Dzanic and Luigi Martinelli at

Princeton University

Numerical Analysis, Computational Physics

Continuously bounds-preserving discontinuous Galerkin methods for hyperbolic conservation laws

11 April 2024 by Tarik Dzanic

Numerical Analysis, Computational Physics

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws

9 March 2024 by Tarik Dzanic and others

Numerical Analysis, Computational Physics

On the anti-aliasing properties of entropy filtering for discontinuous spectral element approximations of under-resolved turbulent flows

31 December 2023 by Tarik Dzanic and others

Numerical Analysis, Fluid Dynamics

Validation of wall boundary conditions for simulating complex fluid flows via the Boltzmann equation: Momentum transport and skin friction

31 December 2023 by Tarik Dzanic and others

Fluid Dynamics, Computational Physics

Direct molecular gas dynamics simulations of re-entry vehicles via the Boltzmann equation

11 December 2023 by Tarik Dzanic and Luigi Martinelli at

Princeton University

Fluid Dynamics, Computational Physics

Towards full molecular gas dynamics simulations of complex flows via the Boltzmann equation

3 December 2023 by Tarik Dzanic and Luigi Martinelli

Fluid Dynamics, Computational Physics

Positivity-preserving entropy filtering for the ideal magnetohydrodynamics equations

17 September 2023 by Tarik Dzanic and Freddie Witherden

Numerical Analysis, Computational Physics

Positivity-preserving discontinuous spectral element methods for compressible multi-species flows

4 August 2023 by Will Trojak and Tarik Dzanic

Fluid Dynamics, Computational Physics

A positivity-preserving and conservative high-order flux reconstruction method for the polyatomic Boltzmann--BGK equation

18 April 2023 by Tarik Dzanic and others

Numerical Analysis, Computational Physics

Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement

4 November 2022 by Jiachen Yang and others

Machine Learning, Artificial Intelligence

Reinforcement Learning for Adaptive Mesh Refinement

15 May 2022 by Jiachen Yang and others

Machine Learning, Numerical Analysis

Utilizing Time-Reversibility for Shock Capturing in Nonlinear Hyperbolic Conservation Laws

18 April 2022 by Tarik Dzanic and others

Numerical Analysis, Computational Physics

Positivity-Preserving Entropy-Based Adaptive Filtering for Discontinuous Spectral Element Methods

24 February 2022 by Tarik Dzanic and Freddie Witherden

Numerical Analysis, Fluid Dynamics

Bounds Preserving Temporal Integration Methods for Hyperbolic Conservation Laws

6 February 2022 by Tarik Dzanic and others

Numerical Analysis

Partially-Averaged Navier-Stokes Simulations of Turbulence Within a High-Order Flux Reconstruction Framework

4 June 2021 by Tarik Dzanic and others

Fluid Dynamics, Computational Physics

A Riemann Difference Scheme for Shock Capturing in Discontinuous Finite Element Methods

1 November 2020 by Tarik Dzanic and others

Numerical Analysis

Accuracy, Stability, and Performance Comparison between the Spectral Difference and Flux Reconstruction Schemes

13 September 2020 by Christopher Cox and others

Computational Physics, Fluid Dynamics

Fourier Spectrum Discrepancies in Deep Network Generated Images

6 June 2020 by Tarik Dzanic and others

Image and Video Processing, Machine Learning

This is an AI-generated summary

Key points

Topics

Numerical Analysis Computational Physics Fluid Dynamics Machine Learning Plasma Physics Artificial Intelligence Image and Video Processing