:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Jinhong, Ignuta-Ciuncanu, Matei C., Martinez-Botas, Ricardo F., Cao, Teng
Format:	Preprint
Published:	2026
Subjects:	Fluid Dynamics Computational Engineering, Finance, and Science Machine Learning Computational Physics
Online Access:	https://arxiv.org/abs/2603.06762
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A MgNO Method for Multiphase Flow in Porous Media
by: Liu, Xinliang, et al.
Published: (2024)

Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable Programming
by: Liu, Xiaofeng, et al.
Published: (2025)

Physics-Informed Machine Learning Approach in Augmenting RANS Models Using DNS Data and DeepInsight Method on FDA Nozzle
by: Geshani, Hossein, et al.
Published: (2025)

Bayesian Model Selection for Complex Flows of Yield Stress Fluids
by: Rinkens, Aricia, et al.
Published: (2026)

Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
by: Shenoy, Dhanush Vittal, et al.
Published: (2026)

Development of a Cost-Effective Simulation Tool for Loss of Flow Accident Transients in High-Temperature Gas-cooled Reactors
by: Liu, Bo, et al.
Published: (2025)

Hydrodynamics of bubble flow through a porous medium with applications to packed bed reactors
by: Nagrani, Pranay P., et al.
Published: (2023)

Density-based topology optimization for turbulent fluid flow using the standard k-epsilon RANS model with wall-functions imposed through an implicit wall penalty formulation
by: Bayat, Amirhossein, et al.
Published: (2026)

Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
by: Farea, Afrah, et al.
Published: (2025)

Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries
by: Amoudruz, Lucas, et al.
Published: (2025)

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach
by: Zhang, Qian, et al.
Published: (2025)

Multiphase Flow Simulation of Blow-by and Fuel-in-Oil Dilution via the Piston Ring Pack Using the CFD Level-Set Method
by: Antony, Patrick, et al.
Published: (2024)

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
by: Yagoubi, Mouadh, et al.
Published: (2024)

Accelerated Computational Fluid Dynamics Simulations of Microfluidic Devices by Exploiting Higher Levels of Abstraction
by: Takken, Michel, et al.
Published: (2023)

Topological Separation of Vortices
by: Zafar, Adeel, et al.
Published: (2024)

A weakly compressible SPH method for RANS simulation of wall-bounded turbulent flows
by: Wang, Feng, et al.
Published: (2025)

Investigate the efficiency of incompressible flow simulations on CPUs and GPUs with BSAMR
by: Liu, Dewen, et al.
Published: (2024)

Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
by: Hetherington, A., et al.
Published: (2024)

On the use of high order central difference schemes for differential equation based wall distance computations
by: Kakumani, Hemanth Chandra Vamsi, et al.
Published: (2021)

Multi-scale topology optimization of porous heat sinks with voided lattice structure using a two-layer Darcy-Forchheimer model
by: Saito, Tatsuki, et al.
Published: (2025)

Deep learning-based predictive modelling of transonic flow over an aerofoil
by: Chen, Li-Wei, et al.
Published: (2024)

A fluid--peridynamic structure model of deformation and damage of microchannels
by: Wang, Ziyu, et al.
Published: (2025)

One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions
by: Lino, Mario, et al.
Published: (2026)

Reconstructing 3D Flow from 2D Data with Diffusion Transformer
by: Lei, Fan
Published: (2024)

JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows
by: Bezgin, Deniz A., et al.
Published: (2024)

DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
by: Elrefaie, Mohamed, et al.
Published: (2024)

Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
by: Barwey, Shivam, et al.
Published: (2024)

Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities
by: Chen, Cheng, et al.
Published: (2025)

Effects of Thermal Boundary Conditions on Natural Convection and Entropy Generation in Non-Newtonian Power-Law Fluids
by: Theisen, Lambert, et al.
Published: (2026)

Fokker-Planck Central Moment Lattice Boltzmann Method for Effective Simulations of Fluid Dynamics
by: Schupbach, William, et al.
Published: (2024)

On zero-order consistency residue and background pressure for the conservative SPH fluid dynamics
by: Wang, Feng, et al.
Published: (2025)

A Lagrangian method for solving the spherical shallow water equations using power diagrams
by: Caplan, Philip, et al.
Published: (2025)

GPU-native Embedding of Complex Geometries in Adaptive Octree Grids Applied to the Lattice Boltzmann Method
by: Jaber, Khodr, et al.
Published: (2025)

Simulating many-engine spacecraft: Exceeding 1 quadrillion degrees of freedom via information geometric regularization
by: Wilfong, Benjamin, et al.
Published: (2025)

A TVD neural network closure and application to turbulent combustion
by: Suh, Seung Won, et al.
Published: (2024)

Physics-Informed Video Diffusion For Shallow Water Equations
by: Bai, Yang, et al.
Published: (2026)

Modelling Heterogeneous Interfaces using Element-based Finite Volumes
by: Ardah, Suhaib, et al.
Published: (2025)

Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
by: Yang, Sunwoong, et al.
Published: (2024)

A new engineering theory describing oblique free surface impact by flexible plates
by: Wu, Wensi, et al.
Published: (2021)

Model-based deep reinforcement learning for accelerated learning from flow simulations
by: Weiner, Andre, et al.
Published: (2024)