Fluid Dynamics

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5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. H-SPAR: Hydrodynamic-aware Simulation for Particle Transport and Autonomous Robots

    Oct 1, 2026Navid Zarrabi, Nariman Yousefi, Sajad SaeediFluid DynamicsRobot Navigation

    Department of Mechanical, Industrial, and Mechatronics Engineering, Toronto Metropolitan University, Toronto, Ontario, Canada. · Department of Chemical Engineering, Toronto Metropolitan University, Toronto, Ontario, Canada. · Department of Computer Science, University College London, London, United Kingdom.

  2. Sim+Real: Joint Simulation - Experiment Training Improves Balanced Prediction in Physical Systems

    Oct 1, 2026Mahindra Rautela, Alexander Scheinker, Ayan Biswas +3Fluid DynamicsSpatiotemporal

    Los Alamos National Laboratory, New Mexico, USA

  3. All You Need Is Low Fidelity: Zero-Shot Sim-to-Real of Learned Robotic Fish Control

    Sep 29, 2026Liam Maloney, Simon Ramchandani, Mike Y. Michelis +2Sim-To-Real Reinforcement LearningScalable Robot Learning

    Soft Robotics Lab, ETH Zurich, Switzerland · ETH AI Center, ETH Zurich, Switzerland

  4. Reconstructing the Vocal Tract with Differentiable Acoustic Simulation

    Sep 29, 2026Eric Ming Chen, Jin Woo Lee, Vincent SitzmannVocal Tract ShapeAcoustic

    MIT CSAIL

  5. High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics

    Sep 15, 2026Diana A. BistrianDigital TwinsDynamic Mode Decomposition

    University Politehnica Timisoara, Department of Electrical Engineering and Industrial Informatics, Romania

  6. Hierarchical rank-evolving representation for physics-informed neural networks

    Aug 10, 2026Ruoyang Su, Xi-Le Zhao, Kun Li +1Parametric Physics-Informed Neural NetworkBasis Functions

    University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 611731, Sichuan, P.R.China · Southwestern University of Finance and Economics, 555, Liutai Avenue, Wenjiang District, Chengdu, 611130, Sichuan, P.R.China

  7. Stochastic Physics-Informed Neural Networks on Lie Groups for Learning Underwater Vehicle Dynamics

    Aug 8, 2026Evan F. Palmer, Ross L. Hatton, Geoffrey A. HollingerAutonomous Underwater VehiclesParametric Physics-Informed Neural Network

    Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University, Corvallis OR 97331, USA

  8. 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 +1Parametric Physics-Informed Neural NetworkFluid Dynamics

    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

  9. Neural Operators for Immersed-Boundary Soft Swimmers Locomotion

    Aug 7, 2026Mohammad Sadegh Eshaghi, Yizheng Wang, Navid Valizadeh +2Fluid DynamicsNeural Operators

    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

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

    Aug 7, 2026Shentong Mo, Guolin KeFluid DynamicsTurbulent Flows

    CMU · DP Tech

  11. FlowForm: Synergizing Fluid Physics with Topological Consistency for Satellite Flood Synthesis

    Aug 4, 2026Zhang Weihui, Wang Ruizhi, Xu Hongye +3Flood DetectionSatellite Imagery

    Zhejiang University, Zhejiang, China

  12. Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation

    Aug 2, 2026Ruoyan Li, Wei Wang, Yizhou SunLagrangian MethodsFluid Dynamics

    University of California, Los Angeles

  13. Adaptive Quantum Physics-Informed Neural Networks for Differential Equations with Applications to Fluid Dynamics

    Aug 1, 2026Fabio Pereira dos Santos, Renato Portugal, Júlio de Castro Vargas Fernandes +1Quantum Neural NetworksHybrid Quantum-Classical Pipeline

    Coordination of Mathematical and Computational Methods National Laboratory of Scientific Computing Av. Getúlio Vargas, 333 - Quitandinha, Petrópolis - RJ, 25651-075 · Center for Computation and Technology - Louisiana State University, 888 S. Stadium Dr., Baton Rouge, LA 70808, USA

  14. Adaptive Undulatory Locomotion of Snake-like Robots in Dynamic Viscous Environments via Deep Reinforcement Learning

    Jul 24, 2026Tsuyoshi Kimoto, Akio Yamano, Kohei Honda +1Agile LocomotionReinforcement Learning Control

    Osaka Metropolitan University, 1-1, Gakuen-cho, Naka-ku, Sakai, Osaka, Japan · Nagoya University, Chikusa-ku, Nagoya, Aichi, Japan

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

    Jul 23, 2026Xiao Xue, Maida Wang, Mingyang Gao +2Quantum Machine LearningQuantum Annealing

    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

  16. Adaptive Mamba Neural Operators

    Jul 20, 2026Zeyuan Song, Zheyu JiangNeural Partial Differential Equation SolversNeural Operators

    School of Chemical Engineering Oklahoma State University Stillwater, OK 74078, USA

  17. LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks

    Jul 15, 2026Nilay Anurag, Shital Adhikari, Taniya Kapoor +1Parametric Physics-Informed Neural NetworkPartial Differential Equations

    Department of Computer Science, Stevens Institute of Technology · Artificial Intelligence Group, Wageningen University & Research

  18. Design, Modeling and Experimental Validation of a Miniature Hybrid Underwater Glider With Large-Range Foldable Deflectable Wings

    Jul 15, 2026Yongjian Zhu, Yusen Tao, Feitian ZhangRotorcraftUnderwater Robots

    Robotics and Control Laboratory, School of Advanced Manufacturing and Robotics, and the State Key Laboratory of Turbulence and Complex Systems, Peking University, Beijing 100871, China

  19. Generating Physically Plausible Parachute Dynamics with Deep Generative Modeling

    Jul 13, 2026Yulong Yang, Clara O'Farrell, Christine Allen-BlanchetteAerodynamicsPhase Space

    Mechanical and Aerospace Engineering, Engineering Quadrangle, Princeton, NJ 08544 · Group Supervisor, Dynamics, Modeling, Flight Mechanics & UQ, 4800 Oak Grove Dr, M/S 198-326, Pasadena, CA 91011, AIAA Member · Center for Statistics and Machine Learning, Engineering Quadrangle, Princeton, NJ 08544

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

    Jul 13, 2026Li Xiao, Tianyu Li, Yiye Zou +2Computational Fluid DynamicFluid Dynamics

  21. Fast Data-Driven Modeling of Hydraulic Clutch Control Pressure with Latch-State Classification and Gaussian Process Regression

    Jul 11, 2026Yash Bagla, Jason SchneiderData-DrivenFluid Dynamics

    Drive System Design Farmington Hills, Michigan, 48335

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

    Jul 8, 2026Rachna Ramesh, Kiet Bennema ten Brinke, Douwe Orij +2DeformableFluid Dynamics

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

  23. Efficient Transfer Learning of Robot Dynamic Models Using Morphological Similarity

    Jul 6, 2026Pavlo Kupyn, Yuya Hamamatsu, Roza Gkliva +2Underwater RobotsSoft Robotics

    Department of Computer Systems, Tallinn University of Technology, Tallinn, Estonia

  24. Strouhal-Aware Model Predictive Control for Efficient Multi-Fin Flapping Locomotion

    Jul 3, 2026Yuya Hamamatsu, Zixi Chen, Maarja Kruusmaa +1Bidirectional ThrustModel Predictive Control

    Department of Computer Systems, Tallinn University of Technology, Tallinn, Estonia · Brubotics, Vrije Universiteit Brussel and IMEC, Brussel, Belgium.

  25. Microcosmos: Reimagining Artificial Life for the GPU Era

    Jul 3, 2026Mark Tensen, Ciaran Regan, Bert Wang-Chak Chan +3Physics SimulationEvolutionary Optimization Methods

    1Artificial Life Institute, Japan · 2Sakana AI, Japan · University of Tsukuba, Japan +2

  26. CodeJeNN: A simple C++ neural network generator for physics applications

    Jul 2, 2026Jay Arcities, Pavel Popov, Eric J Ching +2CudaIntegrated C++ Development

    San Diego State University, Aerospace Engineering Department, San Diego, CA 92182 · U.S. Naval Research Laboratory, Laboratories of Computational Physics and Fluid Dynamics, Washington, DC 20375

  27. Cross-Platform Control for Autonomous Surface Vehicles via Adaptive Reinforcement Learning

    Jul 2, 2026Ruiheng Jiang, Thomas Bi, Raffaello D'Andrea +1Autonomous Underwater VehiclesAutonomous Surface Vehicles

    Institute for Dynamic Systems and Control, ETH Zurich, Switzerland.

  28. Prediction of Viscoelastic Droplet Impact Dynamics Using a Vision Transformer-Based Approach

    Jun 22, 2026Diego A. de Aguiar, Cassio M. OishiFluid DynamicsSelf-Supervised Vision Transformers

    Departamento de Matem´atica e Computa¸c˜ao, Faculdade de Ciˆencias e Tecnologia, Universidade Estadual Paulista “J´ulio de Mesquita Filho”, Presidente Prudente, Brazil

  29. Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids

    Jun 22, 2026Federico Lanteri, Massimiliano CremonesiFluid DynamicsSurrogate Models

    Department of Civil and Environmental Engineering, Politecnico di Milano Piazza Leonardo da Vinci, 32, 20133, Milano, Italy

  30. Advances in Scientific Machine Learning for Coupled Fluid Flow and Transport

    Jun 17, 2026Gabriel F. Barros, Rômulo M. Silva, Alvaro L. G. A. CoutinhoFluid DynamicsReynolds-Averaged Navier-Stokes

    COPPE −Federal University of Rio de Janeiro - UFRJ, Rio de Janeiro, Brazil

  31. Regularized Machine Learning for System Identification of Ship Free-Running Manoeuvres from CFD-Based Synthetic Data: A Comparative Study

    Jun 15, 2026R. F. Suárez, J. C. Berndt, M. Abdel-MaksoudSystem IdentificationFluid Dynamics

    Hamburg University of Technology (TUHH), Institute for Fluid Dynamics and Ship Theory (M8), Am Schwarzenberg-Campus 4 (C), 21073, Hamburg, Germany

  32. AI-Driven Framework for Adaptive Water Network Management with Proof-of-Concept Implementation: Addressing Non-Revenue Water in Jordan

    Jun 14, 2026Mohammed Fasha, Nahel Al-Maayta, Bilal Sowan +2Ai-Based FrameworkAutomated

    Business Intelligence and Data Analytics Department University of Petra Amman, Jordan · Constrategic Consultancy Amman, Jordan · Abdul Aziz Al Ghurair School of Advanced Computing Luminus Technical University College Amman, Jordan

  33. ShipNet: A Geometric Deep Learning Surrogate for Real-Time Ship Hydrodynamics

    Jun 13, 2026Kirsten Odendaal, George DrakoulasFluid DynamicsComputational Fluid Dynamic

    Maritime Research Insitute Netherlands Wageningen, Netherlands · Damen Research Gorinchem, Netherlands

  34. Surflo: Consistent 3D Surface Flow Model with Global State

    Jun 11, 2026Antoine Guédon, Shu Nakamura, Nicolas Dufour +3Feed-Forward 3D Reconstruction3D Generation

    LIX, École polytechnique · Kyoto University · Kyutai +1

  35. Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks

    Jun 10, 2026Hemanth Chandravamsi, Hangchuan Hu, Ponkrshnan Thiagarajan +1Data AssimilationShock Propagation

    Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA

  36. Model-based Optimization of Anguilliform Swimming Gaits for Soft Robotic Applications

    Jun 9, 2026Brian Van Stratum, James Gallentine, Caleb Rucker +3Soft RoboticsFluid Dynamics

    FAMU/FSU College of Engineering, Tallahassee, FL 323109 · Mechanical Engineering, Vanderbilt University, Nashville Tennessee 37235 · Mechanical Engineering, The University of Tennessee, Knoxville, Tennessee 37996

  37. Multi-agent rendezvous in fluid flows via reinforcement learning

    Jun 9, 2026Bocheng Li, Jingran Qiu, Lihao ZhaoMulti-Agent Reinforcement LearningVortex

    11AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084 China. · Department of Physics, Gothenburg University, Gothenburg, 41296 Sweden.

  38. Capturing non-Markovian dynamics in non-equilibrium stochastic systems using flow matching

    Jun 4, 2026Bhargav Sriram Siddani, John B. Bell, Alejandro L. Garcia +1Stochastic DynamicsStochastic Differential Equations

    Lawrence Berkeley National Laboratory · San Jose State University

  39. Advanced Flood Prediction with Physics-Guided Deep Learning: Combining UNet, FNO, and SAR/Optical Imagery

    Jun 2, 2026Tewodros Syum Gebre, Jagrati Talreja, Leila Hashemi-BeniAccurate Flood PredictionFlood Detection

    Built Environment Department, College of Science and Technology, North Carolina A&T State University, Greensboro, NC 27405, USA · United Nations University Institute for Water, Environment and Health, Richmond Hill, ON, Canada

  40. Physics-Guided Policy Optimization with Self-Distillation

    Jun 2, 2026Ke Wang, Yuning Wu, Haoran Liu +3Frictive Policy OptimizationFluid Dynamics

    Amazon, Arlington, USA · Amazon, New York, USA · Amazon, San Jose, USA +1

  41. CFDTwin: An open-source GUI and Python toolkit for POD-NN surrogate modeling of ANSYS Fluent simulations

    May 26, 2026Daniel Curl, Han HuComputational Fluid DynamicSurrogate Models

    Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR 72701, USA

  42. NUCLEUS-MoE: Unified Model of Pool Boiling for Liquid Cooling

    May 26, 2026Arthur Feeney, Xianwei Zou, Sheikh Md Shakeel Hassan +2Surrogate ModelsMolten Pool

    Department of Electrical Engineering and Computer Science University of California, Irvine Irvine, CA, USA

  43. Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility

    May 26, 2026Ye Kyaw Thu, Thazin Myint Oo, Thepchai SupnithiRecurrent Neural NetworksCnn-Lstm

    National Electronics and Computer Technology Center (NECTEC), Pathumthani, Thailand · Language Understanding Lab., Yangon, Myanmar

  44. A perspective on fluid mechanical environments for challenges in reinforcement learning

    May 24, 2026Shruti Mishra, Michael Chang, Vamsi Spandan +1Fluid DynamicsOffline Reinforcement Learning

    Sony AI · Cohere Labs Community · The Hebrew University of Jerusalem

  45. Polymander II: an amphibious salamander-inspired robot with contact and flow sensors

    May 23, 2026Qiyuan Fu, Sudong Lee, Andrea Grillo +4Underwater RobotsProprioception

    Biorobotics Laboratory, EPFL, 1015 Lausanne, Switzerland · CREATE Lab, EPFL, 1015 Lausanne, Switzerland · Innobridge Services S`arl, 1015 Lausanne, Switzerland

  46. Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach

    May 22, 2026Qian Zhang, George Em KarniadakisQueryable Sector Flow FieldsFluid Dynamics

    Division of Applied Mathematics, Brown University

  47. An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study

    May 19, 2026Luca Saverio, Michele Alessandro Bucci, Gianmarco Farro +2Neural Partial Differential Equation SolversPartial Differential Equations

    MONHADE · Digital Sciences & Technologies Department, Safran Tech, Magny-Les-Hameaux, 78114, France. · DAAA, ONERA, Institut Polytechnique de Paris, Meudon, 92190, France. +1

  48. Geometry-Aware Surrogate for Real-Time Hydrodynamics Estimation of Autonomous Ground Vehicles in Amphibious Environments

    May 18, 2026Ammar Waheed, Luke Gallantree, Zohaib HasnainFluid DynamicsVehicle Dynamics

    J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University, College Station, TX 77801, USA · Mounted Systems Engineering Team, Platform Systems Division, Defence Science and Technology Laboratory, Portsdown West, PO17 6AD, UK

  49. Compositional Neural Operators for Multi-Dimensional Fluid Dynamics

    May 12, 2026Hamda Hmida, Hsiu-Wen Chang, Youssef MesriNeural OperatorsPartial Differential Equations

    Mines Paris - PSL University, Centre for Material Forming (CEMEF) · Mines Paris - PSL University, Centre for Robotics (CAOR)

  50. Inpainting physics: self-supervised learning for context-driven fluid simulation

    May 9, 2026Jonas Weidner, Yeray Martin-Ruisanchez, Daniel Rueckert +2Computational Fluid DynamicFluid Dynamics

    AI for Image-Guided Diagnosis and Therapy, Technical University of Munich · Munich Center for Machine Learning (MCML) · AI in Healthcare and Medicine, Technical University of Munich +1

  51. Neural-Guided Domain Restriction to Accelerate Pseudospectra Computation for Structured Non-normal Banded Matrices

    May 6, 2026Amit Punia, Rakesh Kumar, Madan LalSpectral Representation MethodMatrix

    1Jai Narain Vyas University, Jodhpur, Rajasthan, India · 2SRM University-AP, Amaravati, Andhra Pradesh, India · 3Jai Narain Vyas University, Jodhpur, Rajasthan, India

  52. Towards Multi-Agent Autonomous Reasoning in Hydrodynamics

    May 1, 2026Jinpai Zhao, Albert Cerrone, Joannes Westerink +1Multi-Agent ReasoningScientific Workflows

    CEEES University of Notre Dame Notre Dame, Indiana, USA

  53. An ALE-Consistent Graph Neural Operator-Transformer Framework for Fluid-Structure Interaction

    May 1, 2026Shihang Zhao, Martín Saravia, Haokui Jiang +2Fluid DynamicsPhysics-Informed Learning

    Institute for Ocean Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, 518055, China · Centro de Investigación en Mecánica Teórica y Aplicada, Universidad Tecnológica Nacional - CONICET, 11 de Abril 461, Bahía Blanca, Argentina

  54. Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation

    Apr 25, 2026Eshwar R. A., Nevin Mathew Thomas, Nehal G +1Fluid DynamicsU-Net

    Department of Computer Science Engineering, PES University - Electronic City Campus, Bangalore 560100, India.

  55. A Deep U-Net Framework for Flood Hazard Mapping Using Hydraulic Simulations of the Wupper Catchment

    Apr 22, 2026Christian Lammers, Fernando Arévalo, Leonie Märker-Neuhaus +3Accurate Flood PredictionFlood Detection

    Institute for Computing and Information Sciences Radboud University Nijmegen, Netherlands · Wupper Association (Wupperverband) Wuppertal, Germany

  56. Physics-Informed Conditional Diffusion for Motion-Robust Retinal Temporal Laser Speckle Contrast Imaging

    Apr 22, 2026Qian Chen, Yuehao Chen, Qiang Wang +3Retinal ImagingContrast

    Department of Biomedical Engineering, Peking University, Beijing, China · Institute of Medical Technology, Peking University, Beijing, China · Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, China +2

  57. AI models of unstable flow exhibit hallucination

    Apr 22, 2026Ramdhan Wibawa, Birendra JhaFluid DynamicsArtificial Intelligence Models

    Department of Chemical Engineering and Materials Science, University of Southern California, 925 Bloom Walk, Los Angeles, 90089, CA, USA.

  58. Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields

    Apr 21, 2026Sophia Zorek, Kushal Vyas, Yuhao Liu +3Neural FieldsFourier

    Rice University · Argonne National Laboratory

  59. Optimising Urban Flood Resilience

    Apr 17, 2026James Mckenna, Christos Iliadis, Vassilis GlenisMulti-Objective OptimizationFluid Dynamics

    School of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom

  60. Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning

    Apr 17, 2026Reza PirayeshshirazinezhadParametric Physics-Informed Neural NetworkTransfer Learning

    Texas A&M University College Station, TX, USA