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physics.flu-dyn2026

Effect of a magnetostatic field on laminar premixed hydrogen-air flames

Tristan Lapaire, Sofiane Al Kassar, Antonio Attili +1

Magnetic fields have shown potential to affect flame characteristics; however, the mechanisms of interaction are not fully understood. This paper investigates the effect of magneti…

physics.flu-dyn2026

Turbulent hydrogen premixed flames at high pressure and high temperature

Sofiane Al Kassar, Sara Cantagalli, William Lauder +2

The combined influence of elevated pressure and temperature, representative of gas-turbine operating conditions, on lean premixed hydrogen flames is investigated using Direct Numer…

physics.flu-dyn2025

Dynamic mixed turbulence modeling using a super-resolution generative adversarial approach

Ludovico Nista, Christoph D. K. Schumann, Temistocle Grenga +3

A dynamic mixed super-resolution model (DMSRM) for large-eddy simulations (LESs) is proposed, which combines the traditional dynamic mixed model (DMM) formulation with the generati…

physics.flu-dyn2025

ZipGAN: Super-Resolution-based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations

Ludovico Nista, Christoph D. K. Schumann, Fabian Fröde +5

The advancement of high-performance computing has enabled the generation of large direct numerical simulation (DNS) datasets of turbulent flows, driving the need for efficient comp…

physics.flu-dyn2024

Influence of adversarial training on super-resolution turbulence reconstruction

Ludovico Nista, Christoph David Karl Schumann, Mathis Bode +4

Supervised super-resolution deep convolutional neural networks (CNNs) have gained significant attention for their potential in reconstructing velocity and scalar fields in turbulen…