001 Comparison of a Parametric Physics-Informed Neural Network and a Tensorial Reduced-Order Model for the Shallow-Water Dam-Break Problem arXiv Paper Anton Myshak et al. 2 days ago 002 The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows arXiv Paper Alberto Solera-Rico et al. 4 days ago 003 No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study arXiv Paper Georg Winkler et al. 5 days ago 004 Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows arXiv Paper Harish D. Ramachandran, Björn Kimpel et al. 7 days ago 005 PRIMS: Physics-guided Representation for Fluid Identification in Multimodal Sensing arXiv Paper H. Nguyen, Trung Thanh Nguyen et al. 7 days ago 006 Explainable quantum-compressed machine learning for complex fluid flows arXiv Paper Zhen Lin Jul 23 007 Hard Guarantees at a Measured Price: Entropy-Stable Learned Finite Volumes for Compressible Flow arXiv Paper D. Gueyffier Jul 22 008 Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields arXiv Paper Tianyu Li, Zhiwei Cao et al. Jul 22 009 Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion arXiv Paper Haoze Zhang, Han Li et al. Jul 21 010 Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls arXiv Paper Henrik Lange, R. Thormann et al. Jul 17 011 Gradient-free learning of a closed-loop wall controller for turbulent drag reduction arXiv Paper Giorgio Maria Cavallazzi, Miguel P'erez Cuadrado et al. Jul 14 012 A multi-scale feature enhanced graph neural network for fluid dynamics prediction in complex geometries arXiv Paper Li Xiao, Tianyu Li et al. Jul 13 013 Heuristic Learning for Active Flow Control Using Coding Agents arXiv Paper Paul Garnier, J. Viquerat et al. Jul 13 014 Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics arXiv Paper O. Ukorigho, Opeoluwa Owoyele Jul 10 015 BubbleSH: A Dataset of Rising Bubbles with Deformable Interfaces arXiv Paper Rachna Ramesh, Kiet Bennema ten Brinke et al. Jul 8 016 Quantum simulation of real-world nonlinear dynamics via Koopman method arXiv Paper Baoyang Zhang, Dong An et al. Jul 8 017 CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws arXiv Paper Adnan Harun Dougan, Mert Deniz et al. Jul 5 018 Quadrature-Aware Complex-Linear Neural Operator for Boundary-to-Field Prediction in Resonant Acoustics arXiv Paper Muhammad Idrees Khan, Hua-Dong Yao Jul 5 019 Fourier Neural Operators for Rayleigh-Bénard Convection arXiv Paper Chelsea Maria John, Thibaut Lunet et al. Jul 2 020 Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses arXiv Paper Kanad Sen, R. Maulik Jul 2 021 Self-explainable Operator Learning for Discovering Spatial Patterns in Functional Data arXiv Paper Mojgan Alishiri, Amirhossein Arzani Jul 2 022 Reliability-Aware Hard--Soft Physics-Informed Neural Networks for Robust Learning of Challenging Partial Differential Equations arXiv Paper Duc-Tai Nguyen, Hang Tran et al. Jul 1 023 Kriging and neural network models for pressure losses across perforated plates arXiv Paper Shuai Li Jun 28 024 Weak Dominant Balance for Robust Identification of Dynamically Consistent Fluid Flow Structure arXiv Paper Samuel Ahnert, E. Lagemann et al. Jun 27 025 Diffusion-corrected Autoregressive Fourier Neural Operator for Droplet Evolution Prediction arXiv Paper Jinghao Cao, Minsung Kang et al. Jun 25 026 Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs arXiv Paper Miguel Jaraiz, F. Gutiérrez et al. Jun 25 027 A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling arXiv Paper Somyajit Chakraborty, Mingze Pan et al. Jun 23 028 Efficient Time-Domain Simulation of USV Motions in Short-Crested Irregular Waves Using an IRF-Based Framework arXiv Paper Fei Duan et al. Jun 23 029 Prediction of Viscoelastic Droplet Impact Dynamics Using a Vision Transformer-Based Approach arXiv Paper D. Aguiar, C. Oishi Jun 22 030 Patched Flow Matching: Generative Wall-Pressure Reconstruction Beyond Training-Domain Scales from Sparse Sensors arXiv Paper Xin-Yang Liu, Yi Liu et al. Jun 20 031 Physics-Preserving Latent Compression for Zero-Shot Resolution Transfer in 3D Turbulence arXiv Paper Yilong Dai, Yiming Sun et al. Jun 19 032 Acceleration of an algebraic multigrid pressure solver using graph neural networks arXiv Paper Eric Chill'on, Artur K. Lidtke et al. Jun 17 033 Advances in Scientific Machine Learning for Coupled Fluid Flow and Transport arXiv Paper Gabriel F. Barros, Rômulo M. Silva et al. Jun 17 034 A Validated LBM Dataset and Pipeline for Surrogate Modeling of Turbulent 3D Obstructed Channel Flows arXiv Paper Lukas Schroder, Shubham Kavane et al. Jun 15 035 Learning Interface Breakup: A Geometry-Conditioned Latent Surrogate for Spray Formation arXiv Paper Julius H Ramlau, Friedrich Hastedt et al. Jun 15 036 Regularized Machine Learning for System Identification of Ship Free-Running Manoeuvres from CFD-Based Synthetic Data: A Comparative Study arXiv Paper R. F. Suárez, J. Berndt et al. Jun 15 037 ShipNet: A Geometric Deep Learning Surrogate for Real-Time Ship Hydrodynamics arXiv Paper K. Odendaal, G. Drakoulas Jun 13 038 Multiscale Hypersonic Boundary Layer Reconstruction via Spectral Binning and Subdomain-wise Conditional Diffusion arXiv Paper Hojin Kim, Dibyajyoti Chakraborty et al. Jun 12 039 A fully GPU-based workflow for building physics emulators of hypersonic flows arXiv Paper F. Paischer, Dylan Rubini et al. Jun 11 040 Foundations of Practical Quantum Advantage in Quantum-Informed Machine Learning for Predicting Chaos arXiv Paper Maida Wang, Xiao Xue et al. Jun 11 041 Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks arXiv Paper Hemanth Chandravamsi, Hang Hu et al. Jun 10 042 Spectrally Regularized Latent Flow Matching for Turbulence Generation arXiv Paper Khalid Rafiq, Aditya G. Nair Jun 10 043 Multi-agent rendezvous in fluid flows via reinforcement learning arXiv Paper Bocheng Li, J. Qiu et al. Jun 9 044 Geometry-Aware Anisotropic Boundary Correction for Aerodynamic Simulation arXiv Paper Xin Zhang, Yipeng Huang et al. Jun 8 045 Input-schema identifiability limits in physics-informed surrogates for mechanics-governed flow arXiv Paper Daniel Cie'slak, Andrzej Czyzewski Jun 8 046 Self-Evolving Scientific Agent Discovers Generalizable Physically-Reasoned Fluid Control arXiv Paper Boai Sun, Wenjin Guo et al. Jun 7 047 Multiscale POD of Transformer Attention Fields: Scale-Selective Analysis via Morlet Scalogram arXiv Paper A. Zeris Jun 4 048 Reward hacking in physical reinforcement learning revealed by turbulent drag reduction arXiv Paper Giorgio Maria Cavallazzi, Miguel P'erez-Cuadrado et al. Jun 4 049 Wall Shear Stress Reconstruction from Concentration: Differentiable Physics and Physics-Informed Neural Networks arXiv Paper Mahmoud S. Elhadidy, S. Viknesh et al. Jun 4 050 Machine Learning-Driven Chemical Reactor Network Modeling of the Sandia-D Flame arXiv Paper Nicolas Tricard, Benjamin C. Koenig et al. Jun 1 051 Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence arXiv Paper Payel Mukhopadhyay, Stefan S. Nixon et al. May 31 052 Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction arXiv Paper Federica Tonti, Ricardo Vinuesa May 31 053 Neural Operator-Based Surrogate Model for CFD:Helical Coil Steam Generator in Small Modular Reactor arXiv Paper Min-Hsuan Lee, S. Oh et al. May 28 054 CFDTwin: An open-source GUI and Python toolkit for POD-NN surrogate modeling of ANSYS Fluent simulations arXiv Paper Daniel Curl, Han Hu May 26 055 Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning arXiv Paper Yunfei Liu, Hao Wang et al. May 26 056 Sparse POD Mode Selection and Manifold Dimensionality Reduction with Neural Networks arXiv Paper Tomoki Koike, Prakash Mohan et al. May 26 057 Accelerating Bayesian inverse design in computational fluid dynamics using neural operators arXiv Paper Bipin Tiwari, Omer San May 25 058 Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows arXiv Paper D. Dehtyriov, J. MacArt et al. May 25 059 High-fidelity Modeling of Full-scale Pressurized Water Reactor Flow Fields for Machine Learning Applications arXiv Paper Logan A. Burnett, Hyungjung Kim et al. May 23 060 Open Multimodal Datasets and Open-Source Software for Data-Driven Modeling of Multiphase Transport and Thermal Systems arXiv Paper Christy Dunlap, H. Pandey et al. May 21