Deep learning in fluid dynamics

• Reconfigurable Computing in Neural Network‐Enhanced Finite Element Analysis in Structural Dynamics

  2026 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

  0

  citations
• FPGA-accelerated Binary Neural Networks as a surrogate model for a viscoplastic constitutive law in impulsively loaded beams

  2025 Mechanics Research Communications article Computer Science Advanced Neural Network Applications Open access

  2

  citations
• Parallel implementation and performance of super-resolution generative adversarial network turbulence models for large-eddy simulation

  2024 Computers & Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access

  11

  citations
• Physics‐Based Spiking Neural Network as a Surrogate Model for Viscoplastic Material Law in Impulsively Loaded Beams

  2024 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

  4

  citations
• Spiking neural networks for nonlinear regression of complex transient signals on sustainable neuromorphic processors

  2024 npj Unconventional Computing article Engineering Advanced Memory and Neural Computing Open access

  14

  citations
• Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis

  2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access

  12

  citations
• Physics-Based Self-Learning Spiking Neural Network enhanced time-integration scheme for computing viscoplastic structural finite element response

  2024 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

  13

  citations
• The transition to sustainable combustion: Hydrogen- and carbon-based future fuels and methods for dealing with their challenges

  2024 Proceedings of the Combustion Institute article Chemical Engineering Advanced Combustion Engine Technologies Open access

  108

  citations
• Spiking recurrent neural networks for neuromorphic computing in nonlinear structural mechanics

  2023 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks cited by 1 patent

  23

  citations
• Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Large-Eddy Simulations of ECN Spray C

  2022 SAE International Journal of Advances and Current Practices in Mobility article Chemical Engineering Advanced Combustion Engine Technologies Open access

  8

  citations
• The influence of adversarial training on turbulence closure modeling

  2022 AIAA SciTech Forum conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

  6

  citations
• Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows

  2021 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access

  150

  citations
• Using Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Reconstruct Mixture Fraction Statistics of Turbulent Jet Flows

  2021 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks

  1

  citations

13 results