Computational Fluid Dynamics

Also known as CFD

Ask about this topic

Momentum

23 papers in the last four weeks, up 667% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 165

All topics
CardsList

  1. Eikonal Regularisation in Physics-Informed Neural Networks for Three-Dimensional Level-Set Advection: Transferability of Two-Dimensional Design Principles

    Aug 8, 2026Muhammad Akbar KhanNeural PDE SolversPhysics-Informed ML

    Department of Mathematics, NED University of Engineering and Technology, Karachi 75270, Pakistan

  2. Finite basis physics-informed neural networks with hard constraints for viscous fluid flow in highly perforated domains

    Aug 8, 2026Jeeeun Lee, Denis Korolev, Miro Duhovic +1Neural PDE SolversPhysics-Informed ML

    Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea · Weierstrass-Institute for Applied Analysis and Stochastics, Anton-Wilhelm-Amo-Str. 39, Berlin, 10117, Germany · Leibniz-Institut für Verbundwerkstoffe GmbH, Erwin-Schrödinger-Str. 58, Kaiserslautern, 67663, Germany

  3. Neural Operators for Immersed-Boundary Soft Swimmers Locomotion

    Aug 7, 2026Mohammad Sadegh Eshaghi, Yizheng Wang, Navid Valizadeh +2PDE Surrogate ModelingRobot Locomotion

    Chair of Computational Science and Simulation Technology, Institute of Photonics, Department of Mathematics and Physics, Leibniz University Hannover, Germany · Department of Engineering Mechanics, Tsinghua University, Beijing, China · Institute of Structural Mechanics, Bauhaus-Universität Weimar, Germany

  4. Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning

    Aug 7, 2026Shentong Mo, Guolin KeDiffusion TransformerGenerative Modeling

    CMU · DP Tech

  5. TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning

    Aug 4, 2026Yilong Dai, Yiming Sun, Yiheng Chen +4Forecasting BenchmarksScientific ML

    University of Alabama Tuscaloosa, USA · University of Pittsburgh Pittsburgh, USA

  6. Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation

    Aug 2, 2026Ruoyan Li, Wei Wang, Yizhou SunNeural PDE SolversComputational Fluid Dynamics

    University of California, Los Angeles

  7. Comparison of a Parametric Physics-Informed Neural Network and a Tensorial Reduced-Order Model for the Shallow-Water Dam-Break Problem

    Jul 29, 2026Anton Myshak, Md Rezwan Bin Mizan, Ilya TimofeyevPDE Surrogate ModelingReduced-Order Modeling

    Dept. of Mathematics, University of Houston, Houston, TX 77204

  8. No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study

    Jul 26, 2026Georg Winkler, Martin StollNeural Surrogate ModelingPDE Surrogate Modeling

    Department of Mathematics, Chemnitz University of Technology, 09111, Chemnitz, Germany

  9. Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows

    Jul 24, 2026Harish Ramachandran, Björn Kimpel, Thomas Paula +3Neural Surrogate ModelingPDE Surrogate Modeling

    Technical University of Munich

  10. Explainable quantum-compressed machine learning for complex fluid flows

    Jul 23, 2026Xiao Xue, Maida Wang, Mingyang Gao +2Neural Surrogate ModelingInterpretable ML

    Centre for Computational Science, University College London, London, UK · Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities, Boltzmannstraße 1, 85748 Garching, Germany · Centre for Advanced Research Computing, University College London, London, UK

  11. Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields

    Jul 22, 2026Tianyu Li, Zhiwei Cao, Qingang Zhang +3Neural Surrogate ModelingGraph Neural Networks

    Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore, Singapore. · School of Future Technology, Fuzhou University, Fuzhou, China. · College of Computing and Data Science, Nanyang Technological University, Singapore, Singapore. +2

  12. Guarantees by Construction for Learned Finite Volume Schemes on Steady Supersonic Flow

    Jul 22, 2026Denis GueyffierNeural PDE SolversComputational Fluid Dynamics

    ONERA -- Institut Polytechnique de Paris · Direction Scientifique G´en´erale, ONERA · Institut Polytechnique de Paris, Palaiseau, France

  13. Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion

    Jul 21, 2026Haoze Zhang, Han Li, Ke Xiao +3Neural Surrogate ModelingComputational Fluid Dynamics

    State Key Laboratory of Turbulence and Complex Systems, College of Engineering, Peking University, Beijing 100871, China · AI for Science Institute (AISI), Beijing 100080, China

  14. Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls

    Jul 17, 2026Henrik Lange, Reik Thormann, Philipp BekemeyerGraph Neural NetworksPDE Surrogate Modeling

    German Aerospace Center (DLR), Lilienthalpl. 7, 38108 Brunswick, Germany · Airbus Operations, Airbus Allee 1, 28199 Bremen, Germany

  15. Subgrid-Scale Parameterization in Burgers' Equation Using Structure-Preserving Neural Networks and Entropy Variables

    Jul 16, 2026Aijaz Nazir, Ilya TimofeyevNeural Surrogate ModelingPDE Solving

    Dept. of Mathematics, University of Houston, Houston, TX 77204

  16. Gradient-free learning of a closed-loop wall controller for turbulent drag reduction

    Jul 14, 2026Giorgio Maria Cavallazzi, Miguel Pérez Cuadrado, Alfredo PinelliComputational Fluid Dynamics

    Department of Engineering, City St. George’s, University of London, Northampton Square, EC1V 0HB, London, UK

  17. A multi-scale feature enhanced graph neural network for fluid dynamics prediction in complex geometries

    Jul 13, 2026Li Xiao, Tianyu Li, Yiye Zou +2Graph Neural NetworksPDE Surrogate Modeling

  18. IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry

    Jul 13, 2026Ying Yan, Liwei Hu, Xiaoming ZhangSynthetic Data GenerationGeometric Representation Learning

    School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050091, China

  19. Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics

    Jul 10, 2026Okezzi Ukorigho, Opeoluwa OwoyeleSurrogate ModelingPDE Surrogate Modeling

    Department of Mechanical and Industrial Engineering Louisiana State University, Baton Rouge, LA 70810, USA

  20. CORL-AUV: CFD Oriented Reinforcement Learning for Autonomous Underwater Vehicles

    Jul 10, 2026Steven Roche, Milo Van Mooy, Nathan McGuire +3RL ControlRL for Robotics

    MIT-WHOI Joint Program, MA 02543, USA · WHOI, MA 02543, USA · Massachusetts Institute of Technology, Cambridge, MA 02319, USA

  21. BubbleSH: A Dataset of Rising Bubbles with Deformable Interfaces

    Jul 8, 2026Rachna Ramesh, Kiet Bennema ten Brinke, Douwe Orij +2Generative ModelingSpherical Harmonics

    Department of Mathematics and Computer Science, Eindhoven University of Technology · Department of Chemical Engineering and Chemistry, Eindhoven University of Technology

  22. CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws

    Jul 5, 2026Adnan Harun Doğan, Mert Deniz, Hande Alemdar +1PDE Surrogate ModelingPhysics-Informed ML

    Dept. of Computer Engineering Middle East Technical University Ankara, Turkey · Dept. of Mechanical Engineering Middle East Technical University Ankara, Turkey

  23. LOTUSim: Multi-Domain Simulator for Marine Robotics

    Jul 3, 2026Cédric Buche, Juliette Grosset, Hélène Lechêne +4Multi-Robot SystemsRobotics Simulation

    CROSSING, IMT Atlantique · CROSSING IRL 2010, CNRS · IMT Atlantique +2

  24. Fourier Neural Operators for Rayleigh-Bénard Convection

    Jul 2, 2026Chelsea Maria John, Thibaut Lunet, Sebastian Götschel +3Fourier Neural OperatorPDE Surrogate Modeling

    Jülich Supercomputing Centre, Jülich, Germany · Hamburg University of Technology, Hamburg, Germany

  25. Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet

    Jun 30, 2026Zeyuan Hu, Akshay Subramaniam, Noel Keen +9AI for ScienceTransformer

    NVIDIA · LBNL · PNNL +1

  26. Kriging and neural network models for pressure losses across perforated plates

    Jun 28, 2026Shuai LiNeural Surrogate ModelingComputational Fluid Dynamics

    Division of Fluid Dynamics, Department of Mechanical Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden

  27. Bidirectional Autoregressive Latent Diffusion for Forward and Inverse Magnetohydrodynamics

    Jun 28, 2026Alexander ScheinkerUncertainty QuantificationAutoregressive Diffusion

    Los Alamos National Laboratory, Los Alamos, NM, 87545.

  28. Weak Dominant Balance for Robust Identification of Dynamically Consistent Fluid Flow Structure

    Jun 27, 2026Samuel Ahnert, Esther Lagemann, H. Jane Bae +4Computational Fluid Dynamics

    Department of Mechanical Engineering, University of Washington, Seattle, WA, USA · AI Institute in Dynamic Systems, University of Washington, Seattle, WA, USA · Lynn Booth and Kent Kresa Department of Aerospace, California Institute of Technology, Pasadena, CA, USA +2

  29. Boundary condition fidelity for bottom-hole pressure and CO2 plume prediction in geological carbon storage

    Jun 25, 2026Romal Ramadhan, Seyyed A. Hosseini, Larry W. LakeComputational Fluid Dynamics

    Department of Earth and Planetary Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78712, USA · Bureau of Economic Geology, The University of Texas at Austin, 10611 Exploration Way, Austin, TX 78758, USA · Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, TX 78712, USA

  30. Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs

    Jun 25, 2026Miguel Jaraiz, Fermin Gutierrez, Pablo Yeste +4Multilayer PerceptronsSurrogate Modeling

    ETSIAE-UPM-School of Aeronautics, Universidad Politécnica de Madrid, Plaza Cardenal Cisneros 3, E-28040 Madrid, Spain · Center for Computational Simulation, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, 28660 Madrid, Spain · Institute for Cross-Disciplinary Physics and Complex Systems (IFISC, CSIC-UIB), 07122 Palma de Mallorca (Spain)