Image de couverture de livre

Oscillating Heat Transfer Prediction in Porous Structures Using Generative AI-Assisted Explainable Machine Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhu, Lichang, Schaefer, Laura, Chen, Leitao, Xu, Ben
Format:	Preprint
Publié:	2025
Sujets:	Fluid Dynamics Computational Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Modelling Material Injection Into Porous Structures Under Non-isothermal Conditions
par: Völter, Jan-Sören L., et autres
Publié: (2025)

Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
par: Wang, Jinhong, et autres
Publié: (2026)

Mixed Convection Heat Transfer and Flow of Al2O3-Water Nanofluid in a Square Enclosure with Heated Obstacles and Varied Boundary Conditions
par: Ahmed, Hashnayne, et autres
Publié: (2024)

Learning to traverse convective flows at moderate to high Rayleigh numbers
par: Xu, Ao, et autres
Publié: (2026)

Revisit eddy viscosity in pressure-driven wall turbulence at high Reynolds number
par: Xu, Ben-Rui, et autres
Publié: (2026)

Velocity dip in turbulent mixed convection of an open Poiseuille-Rayleigh-Bénard channel
par: Xu, Ben-Rui, et autres
Publié: (2025)

Particle transport and deposition in wall-sheared thermal turbulence
par: Xu, Ao, et autres
Publié: (2024)

Micromechanical Origin of Heat Transfer to Granular Flow
par: Zhang, Xintong, et autres
Publié: (2023)

Optimization of Higher-Order Harmonic Surface Tessellations for Additively Manufactured Air-to-Air Heat Exchangers
par: Adegbaye, Patrick, et autres
Publié: (2026)

Realizability-Informed Machine Learning for Turbulence Anisotropy Mappings
par: McConkey, Ryley, et autres
Publié: (2024)

Interpolation-supplemented lattice Boltzmann simulation of thermal convection on non-uniform meshes
par: Xu, Ao, et autres
Publié: (2025)

Hypersonic Boundary Layer Transition and Heat Loading
par: Peyvan, Ahmad, et autres
Publié: (2024)

Machine Learning in Viscoelastic Fluids via Energy-Based Kernel Embedding
par: Otto, Samuel E., et autres
Publié: (2024)

Predicting Flow-Induced Vibration in Isolated and Tandem Cylinders Using Hypergraph Neural Networks
par: Heydari, Shayan, et autres
Publié: (2025)

A Reaction-Advection-Diffusion Model to describe Non-Uniformities in Colorimetric Sensing using Thin Porous Substrates
par: Namratha, Kulkarni, et autres
Publié: (2026)

FlexPINN: Modeling Fluid Dynamics and Mass Transfer in 3D Micromixer Geometries Using a Flexible Physics-Informed Neural Network
par: Hassanzadeh, Meraj, et autres
Publié: (2025)

A Data-Driven Approach for Predicting Hydrodynamic Forces on Spherical Particles Using Volume Fraction Representations
par: Metelkin, Alexander, et autres
Publié: (2025)

A Physics-Informed Machine Learning Framework for Solid Boundary Treatment in Meshfree Particle Methods
par: Mehranfar, Nariman, et autres
Publié: (2025)

PLIC-Net: A Machine Learning Approach for 3D Interface Reconstruction in Volume of Fluid Methods
par: Cahaly, Andrew, et autres
Publié: (2024)

Online Optimisation of Machine Learning Collision Models to Accelerate Direct Molecular Simulation of Rarefied Gas Flows
par: Ball, Nicholas Daultry, et autres
Publié: (2024)

Heat transfer in a planer diverging channel with a slot jet inlet
par: Rabby, Md Insiat Islam, et autres
Publié: (2024)

Hydrodynamics of Flapping Foils Undergoing Irregular Motion with Application to Wave-Assisted Propulsion
par: Raut, Harshal S., et autres
Publié: (2025)

A unified gas-kinetic framework from Boltzmann to Navier-Stokes scales
par: Guo, Zhaoli, et autres
Publié: (2025)

Kinetic representation of the unified gas-kinetic wave-particle method and beyond
par: Guo, Zhaoli, et autres
Publié: (2024)

Learning Non-Ideal Vortex Flows Using the Differentiable Vortex Particle Method
par: Ji, Ziqi, et autres
Publié: (2025)

Physics-based r-adaptive algorithms for high-speed flows and plasma simulations
par: Ameur, Firas Ben, et autres
Publié: (2018)

Intelligent Optimization of Multi-Parameter Micromixers Using a Scientific Machine Learning Framework
par: Hassanzadeh, Meraj, et autres
Publié: (2025)

Breakdown of Kolmogorov Scaling and Modified Energy Transfer in Bubble-Laden Turbulence
par: Montessori, Andrea, et autres
Publié: (2025)

Turbulence Kinetic Energy Distribution and Heat Transfer in a Porous Layer Induced by Bluff Body Vortex Shedding
par: Kemayo, Thibaut K, et autres
Publié: (2025)

Homogenized Lattice Boltzmann Model for Simulating Multi-Phase Flows in Heterogeneous Porous Media
par: Lautenschlaeger, Martin P., et autres
Publié: (2022)

Wave Particle Turbulent Simulation of Spatially Developing Round Jets Using a Non Equilibrium Transport Model with a Mixing Length Characteristic Time Closure
par: Yang, Xiaojian, et autres
Publié: (2026)

Wall Modeling of Turbulent Flows with Varying Pressure Gradients Using Multi-Agent Reinforcement Learning
par: Zhou, Di, et autres
Publié: (2023)

Numerical Investigation of Radiative Transfers Interactions with Material Ablative Response for Hypersonic Atmospheric Entry
par: Maout, Vincent Le, et autres
Publié: (2024)

LSTM-PINN for Steady-State Electrothermal Transport: Preserving Multi-Field Consis tency in Strongly Coupled Heat and Fluid Flow
par: Zhou, Yuqing, et autres
Publié: (2026)

Geometric Dynamics of Turbulence: A Minimal Oscillator Structure from Non-local Closure
par: Sevilla, Alejandro
Publié: (2026)

Interfacial Temperature and Density Discontinuities for Phase-Change Heat Transfer With Non-condensable Gas
par: Chen, Gang
Publié: (2025)

CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics
par: Luo, Yining, et autres
Publié: (2023)

Heat Transport and Dissipation in 2.5D Rotating Internally Heated and Cooled Convection
par: Joshi-Hartley, Tom, et autres
Publié: (2025)

Unraveling Structure-Performance Trade-offs in Porous Transport Layers for PEM Water Electrolysis
par: Goswami, Navneet, et autres
Publié: (2026)

Neural Networks for Predicting Permeability Tensors of 2D Porous Media: Comparison of Convolution- and Transformer-based Architectures
par: Vargdal, Sigurd, et autres
Publié: (2025)