physics.flu-dyn

Papers

• Self-Evolving Scientific Agent Discovers Generalizable Physically-Reasoned Fluid Control (2026)
  Boai Sun et al.
  4.39
• A fully GPU-based workflow for building physics emulators of hypersonic flows (2026)
  Fabian Paischer et al.
  4.39
• Machine Learning-Driven Chemical Reactor Network Modeling of the Sandia-D Flame (2026)
  Nicolas J. Tricard et al.
  4.39
• Pre-Training for Simulation-Based Science: A Study on Jet Foundation Model Training Objectives (2026)
  Ibrahim Elsharkawy et al.
  4.39
• Multiscale Hypersonic Boundary Layer Reconstruction via Spectral Binning and Subdomain-wise Conditional Diffusion (2026)
  Hojin Kim et al.
  4.39
• ShipNet: A Geometric Deep Learning Surrogate for Real-Time Ship Hydrodynamics (2026)
  Kirsten Odendaal et al.
  4.39
• Graphical conditional generative modeling for digital twin modeling (2026)
  Zongren Zou et al.
  4.39
• Learning Interface Breakup: A Geometry-Conditioned Latent Surrogate for Spray Formation (2026)
  Julius H Ramlau et al.
  4.39
• Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees (2026)
  Marta Gentiloni Silveri et al.
  4.39
• Learning Hybrid Biophysical Neuron Models with Neural ODEs (2026)
  Jonas Beck et al.
  4.39
• Dynestyx: A Probabilistic Programming Library for Dynamical Systems (2026)
  Daniel Waxman et al.
  4.39
• Regularized Machine Learning for System Identification of Ship Free-Running Manoeuvres from CFD-Based Synthetic Data: A Comparative Study (2026)
  R. F. Su\'arez et al.
  4.39
• Open Multimodal Datasets and Open-Source Software for Data-Driven Modeling of Multiphase Transport and Thermal Systems (2026)
  Christy Dunlap et al.
  4.33
• GPT-Based Fast Simulation of CLAS12 Detector Hits via Conditional Autoregressive Generation (2026)
  Cole Granger et al.
  3.51
• Conditional Latent Diffusion Model with Fourier-based Motion Modelling for Virtual Population Synthesis (2026)
  Shaokun Lan et al.
  2.00
• Reward hacking in physical reinforcement learning revealed by turbulent drag reduction (2026)
  Giorgio Maria Cavallazzi et al.
  2.00
• A reinforcement learning strategy for p-adaptation in high order solvers (2023)
  David Huergo et al.
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