Buchumschlag

AI-Accelerated Operator Learning Framework for Rarefied Microflows

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Roohi, Ehsan
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Fluid Dynamics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Shock-Centered Low-Rank Structure and Neural-Operator Representation of Rarefied Micro-Nozzle Flows
von: Roohi, Ehsan, et al.
Veröffentlicht: (2026)

Resolving Cryogenic and Hypersonic Rarefied Flows via Deep Learning-Accelerated Lennard-Jones DSMC
von: Sani, Ahmad Shoja, et al.
Veröffentlicht: (2026)

Shock-Aware Physics-Guided Fusion-DeepONet Operator for Rarefied Micro-Nozzle Flows
von: Roohi, Ehsan, et al.
Veröffentlicht: (2025)

Prescribed Wall-Heat-Flux Control of Blockage and Impulse in a Rarefied Micro-Nozzle
von: Mahdavi, Amirmehran, et al.
Veröffentlicht: (2026)

Learning Rarefied Gas Dynamics with Physics-Enforced Neural Networks
von: Roohi, Ehsan, et al.
Veröffentlicht: (2025)

Analysis of the Rarefied Flow at Micro-Step using a DeepONet Surrogate Model with a Physics-Guided Zonal Loss Function
von: Roohi, Ehsan, et al.
Veröffentlicht: (2025)

Efficient Collision Algorithms in DSMC for Rarefied Gas Dynamics: Markovian NTC-Pre-Scan and Bernoulli-Trial Schemes
von: Shoja-sani, Ahmad, et al.
Veröffentlicht: (2025)

Tail observability and fourth-order closure recovery in physics-informed neural networks for Bhatnagar-Gross-Krook normal shocks
von: Roohi, Ehsan
Veröffentlicht: (2026)

Anti-Fourier heat flux does not certify the fourth-order closure state of a rarefied cavity
von: Roohi, Ehsan
Veröffentlicht: (2026)

Deep Learning Surrogates for Gas Dynamics: A Physics-Informed Pedagogical Approach
von: Roohi, Ehsan
Veröffentlicht: (2025)

Multi-Objective Aerodynamic Optimization of Ride Height and Rake Angle in a Sedan Car Using CFD and Machine Learning
von: Kheirkhah, Mahdi, et al.
Veröffentlicht: (2025)

Rarefaction-induced inflation and similarity breakdown of hypersonic bow shocks over a circular cylinder
von: Roohi, Ehsan, et al.
Veröffentlicht: (2026)

Physics Constrained Neural Collision Operators for Variable Hard Sphere Surrogates and Ab Initio Angle Prediction in Direct Simulation Monte Carlo
von: Roohi, Ehsan, et al.
Veröffentlicht: (2026)

Data-Driven Surrogate Modeling of DSMC Solutions Using Deep Neural Networks
von: Roohi, Ehsan, et al.
Veröffentlicht: (2025)

Passive Cavitation Mitigation on Hydrofoils via Porous Media: A Comparative Study of LES and RANS Models
von: Alavi, Ali, et al.
Veröffentlicht: (2025)

Online Optimisation of Machine Learning Collision Models to Accelerate Direct Molecular Simulation of Rarefied Gas Flows
von: Ball, Nicholas Daultry, et al.
Veröffentlicht: (2024)

Electromagnetic Flow Control in Hypersonic Rarefied Environment
von: Pu, Zhigang, et al.
Veröffentlicht: (2025)

Rarefied xenon flow in orificed hollow cathodes
von: Taunay, Pierre-Yves C. R., et al.
Veröffentlicht: (2024)

Wetted-Area Minimum and Inlet-Outlet Reciprocity in Optimal Manifolds of Rarefied Gas Flows
von: Yuan, Ruifeng, et al.
Veröffentlicht: (2025)

A Hybrid Gas-Kinetic Scheme and Discrete Velocity Method for Continuum and Rarefied Flows
von: Wu, Hangkong, et al.
Veröffentlicht: (2026)

Wall Wettability Control of Cavitation Patterns and Stability
von: Tayerani, Parisa, et al.
Veröffentlicht: (2025)

A Particle Multi-Relaxation Bhatnagar-Gross-Krook Method for Rarefied Monatomic Gas Mixtures
von: Kim, Inchan, et al.
Veröffentlicht: (2026)

Rarefied gas flow past a liquid droplet: interplay between internal and external flows
von: Bhattacharjee, Rahul, et al.
Veröffentlicht: (2022)

Physics-Informed Neural Networks for microflows: Rarefied Gas Dynamics in Cylinder Arrays
von: Tucny, Jean-Michel, et al.
Veröffentlicht: (2025)

Stabilizing the Maximal Entropy Moment Method for Rarefied Gas Dynamics at Single-Precision
von: Zheng, Candi, et al.
Veröffentlicht: (2023)

On the Non-Markovian Navier-Stokes Framework for Turbulence Modeling -- A Preliminary Analysis
von: Hannani, Siamak Kazemzadeh, et al.
Veröffentlicht: (2025)

Extensions to the Navier-Stokes-Fourier Equations for Rarefied Transport: Variational Multiscale Moment Methods for the Boltzmann Equation
von: Baidoo, F. A., et al.
Veröffentlicht: (2024)

Defects, Corrugation and Temperature Govern Rarefied-Air Drag on Graphene Coatings
von: Cajahuaringa, Samuel, et al.
Veröffentlicht: (2026)

cfdmfFTFoam: A front-tracking solver for multiphase flows on general unstructured grids in OpenFOAM
von: Amani, Ehsan
Veröffentlicht: (2026)

Wall-Modeled Large-Eddy Simulation of Turbulent Non-Newtonian Power-Law Fluid Flows
von: Taghvaei, Mohammad, et al.
Veröffentlicht: (2025)

Meta-PINNs: Meta-Learning Enhanced Physics-Informed Machine Learning Framework for Turbomachinery Flow Predictions under Varying Operation Conditions
von: Han, Yuling, et al.
Veröffentlicht: (2026)

Physics-Informed Deep Operator Learning for Computational Hydraulics Modeling
von: Liu, Xiaofeng, et al.
Veröffentlicht: (2026)

Learning Differentiable Weak-Form Corrections to Accelerate Finite Element Simulations
von: Jung, Junoh, et al.
Veröffentlicht: (2026)

Data-Driven Flow Initialization Framework for CFD Acceleration of Underwater Vehicle in Vertical-Plane Oblique Motion
von: Hu, Tianli, et al.
Veröffentlicht: (2026)

Novel mixed approximate deconvolution subgrid-scale models for large-eddy simulation
von: Amani, Ehsan, et al.
Veröffentlicht: (2025)

Numerical Simulation and Aerodynamic Optimization of Two-Stage Axial High-Pressure Turbine Blades
von: Hosseini, Seyed Ehsan, et al.
Veröffentlicht: (2024)

Generalization Capability of Deep Learning for Predicting Drag Reduction in Pulsating Turbulent Pipe Flow with Arbitrary Acceleration and Deceleration
von: Kumazawa, Sota, et al.
Veröffentlicht: (2025)

Accelerations of large inertial particles in turbulence
von: Fan, Yaning, et al.
Veröffentlicht: (2023)

Parametric and inverse analysis of flow inside an obstructed channel under the influence of magnetic field using physics informed neural networks
von: Ghaderi, Ehsan, et al.
Veröffentlicht: (2024)

Evaluating Joule heating influence on heat transfer and entropy generation in MHD channel flow: A parametric study and ill-posed problem solution using PINNs
von: Ghaderi, Ehsan, et al.
Veröffentlicht: (2024)