W4301239768

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

  2024 Computers & Fluids article Engineering Fluid Dynamics and Turbulent Flows Open access

  11

  citations
• Deep learning based 3d reconstruction for phenotyping of wheat seeds: a dataset, challenge, and baseline method

  2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Agricultural and Biological Sciences Smart Agriculture and AI Open access

  3

  citations
• Unbinned deep learning jet substructure measurement in high Q2 ep collisions at HERA

  2023 Physics Letters B article Physics and Astronomy Particle physics theoretical and experimental studies Open access

  21

  citations
• Influence of adversarial training on super-resolution turbulence reconstruction

  2023 arXiv (Cornell University) preprint Engineering Fluid Dynamics and Turbulent Flows Open access

  0

  citations
• Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS)

  2022 International Convention on Information, Communication and Electronic Technology (MIPRO) conference-paper Medicine Respiratory Support and Mechanisms

  4

  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

6 results