Fourier Spectrum Discrepancies in Deep Network Generated Images. - Tarik Dzanic; Freddie D. Witherden (CoRR, 2019)

Fourier Spectrum Discrepancies in Deep Network Generated Images. - Tarik Dzanic; Karan Shah 001; Freddie D. Witherden (NeurIPS, 2020)

A Riemann Difference Scheme for Shock Capturing in Discontinuous Finite Element Methods. - Tarik Dzanic; Will Trojak; Freddie D. Witherden (CoRR, 2020)

Utilizing Time-Reversibility for Shock Capturing in Nonlinear Hyperbolic Conservation Laws. - Tarik Dzanic; Will Trojak; Freddie D. Witherden (CoRR, 2021)

Partially-averaged Navier-Stokes simulations of turbulence within a high-order flux reconstruction framework. - Tarik Dzanic; Sharath S. Girimaji; Freddie D. Witherden (J. Comput. Phys., 2022)

Positivity-preserving entropy-based adaptive filtering for discontinuous spectral element methods. - Tarik Dzanic; Freddie D. Witherden (J. Comput. Phys., 2022)

Reinforcement Learning for Adaptive Mesh Refinement. - Jiachen Yang; Tarik Dzanic; Brenden K. Petersen; Jun Kudo; Ketan Mittal; Vladimir Z. Tomov; Jean-Sylvain Camier; Tuo Zhao; Hongyuan Zha; Tzanio V. Kolev; Robert W. Anderson; Daniel M. Faissol (AISTATS, 2023)

Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement. - Jiachen Yang; Ketan Mittal; Tarik Dzanic; Socratis Petrides; Brendan Keith; Brenden K. Petersen; Daniel M. Faissol; Robert W. Anderson (AAMAS, 2023)

Positivity-preserving entropy filtering for the ideal magnetohydrodynamics equations. - Tarik Dzanic; Freddie D. Witherden (CoRR, 2023)

On the anti-aliasing properties of entropy filtering for under-resolved turbulent flows. - Tarik Dzanic; Will Trojak; Freddie D. Witherden (CoRR, 2023)

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws. - Tarik Dzanic; Ketan Mittal; Dohyun Kim; Jiachen Yang; Socratis Petrides; Brendan Keith; Robert W. Anderson (CoRR, 2023)

A positivity-preserving and conservative high-order flux reconstruction method for the polyatomic Boltzmann-BGK equation. - Tarik Dzanic; Freddie D. Witherden; Luigi Martinelli (J. Comput. Phys., 2023)

Bounds preserving temporal integration methods for hyperbolic conservation laws. - Tarik Dzanic; Will Trojak; Freddie D. Witherden (Comput. Math. Appl., 2023)

A note on higher-order and nonlinear limiting approaches for continuously bounds-preserving discontinuous Galerkin methods. - Tarik Dzanic (CoRR, 2024)

Continuously bounds-preserving discontinuous Galerkin methods for hyperbolic conservation laws. - Tarik Dzanic (J. Comput. Phys., 2024)

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws. - Tarik Dzanic; Ketan Mittal; DoHyun Kim; J. Yang; Socratis Petrides; Brendan Keith; Robert W. Anderson (J. Comput. Phys., 2024)

PyFR v2.0.3: Towards industrial adoption of scale-resolving simulations. - Freddie D. Witherden; Peter E. Vincent; Will Trojak; Yoshiaki Abe; Amir Akbarzadeh; Semih Akkurt; Mohammad Alhawwary; Lidia Caros; Tarik Dzanic; Giorgio Giangaspero; Arvind Iyer; Antony Jameson; et al. (Comput. Phys. Commun., 2025)

High-order limiting methods using maximum principle bounds derived from the Boltzmann equation I: Euler equations. - Tarik Dzanic; Luigi Martinelli (J. Comput. Phys., 2025)

A method for bounding high-order finite element functions: Applications to mesh validity and bounds-preserving limiters. - Tarik Dzanic; Tzanio V. Kolev; Ketan Mittal (CoRR, 2025)

Second-order invariant-domain preserving approximation to the multi-species Euler equations. - Bennett Clayton; Tarik Dzanic; Eric J. Tovar (CoRR, 2025)