:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Warey, Alok, Han, Taeyoung, Kaushik, Shailendra
Format:	Preprint
Publié:	2021
Sujets:	Fluid Dynamics
Accès en ligne:	https://arxiv.org/abs/2103.03115
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Numerical Simulation and Aerodynamic Optimization of Two-Stage Axial High-Pressure Turbine Blades
par: Hosseini, Seyed Ehsan, et autres
Publié: (2024)

A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using Physics-Informed Neural Network
par: Zhang, Han, et autres
Publié: (2023)

Enhancing Arterial Blood Flow Simulations through Physics-Informed Neural Networks
par: Bhargava, Shivam, et autres
Publié: (2024)

Physics-Informed Neural Networks for Transonic Flows around an Airfoil
par: Wassing, Simon, et autres
Publié: (2024)

Numerical Investigation of Diffusion Flame in Transonic Flow with Large Pressure Gradient
par: Zhu, Yalu, et autres
Publié: (2023)

NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning
par: Sharpe, Peter, et autres
Publié: (2025)

Identification of Settling Velocity with Physics Informed Neural Networks For Sediment Laden Flows
par: Delcey, Mickaël, et autres
Publié: (2024)

Physics Informed Neural Networks for Free Shear Flows
par: Raghu, Siddharth, et autres
Publié: (2024)

Physics-Informed Neural Networks for Weakly Compressible Flows Using Galerkin-Boltzmann Formulation
par: Aygun, Atakan, et autres
Publié: (2024)

Sparse-Supervised Hybrid Parameterized Physics-Informed Neural Networks for Incompressible Flows Across Reynolds Numbers
par: Jangir, A., et autres
Publié: (2026)

Finite Volume Physical Informed Neural Network (FV-PINN) with Reduced Derivative Order for Incompressible Flows
par: Su, Zijie, et autres
Publié: (2024)

Investigation of Compressor Cascade Flow Using Physics- Informed Neural Networks with Adaptive Learning Strategy
par: Li, Zhihui, et autres
Publié: (2023)

Reduction of Outflow Boundary Influence on Aerodynamic Performance using Neural Networks
par: Bedrunka, Mario Christopher, et autres
Publié: (2025)

Physics-Informed Neural Networks for Multi-Phase Flow in Porous Media Considering Dual Shocks and Interphase Solubility
par: Zhang, Jingjing, et autres
Publié: (2024)

An Efficient Wavelet-based Physics Informed Residual Neural Networks for Flow Field Reconstruction with Extremely Sparse Data
par: Barman, Biswanath, et autres
Publié: (2026)

ELPINN: Eulerian Lagrangian Physics-Informed Neural Network
par: Thakur, Sukirt, et autres
Publié: (2025)

Real-time and On-site Aerodynamics using Stereoscopic PIV and Deep Optical Flow Learning
par: Elrefaie, Mohamed, et autres
Publié: (2024)

Numerical Investigation of the Effect of an Oblique Flow Entry on the Pressure Losses in Square Channels
par: Samuels, Callum, et autres
Publié: (2025)

A Discrete Adjoint Gas-Kinetic Scheme for Aerodynamic Shape Optimization in Turbulent Continuum Flows
par: Wu, Hangkong, et autres
Publié: (2026)

Physics-Informed Neural Networks for Enhanced Interface Preservation in Lattice Boltzmann Multiphase Simulations
par: Li, Yue, et autres
Publié: (2025)

Physics-Informed Neural Network Approaches for Sparse Data Flow Reconstruction of Unsteady Flow Around Complex Geometries
par: Malineni, Vamsi Sai Krishna, et autres
Publié: (2025)

Aerodynamic consequences of wing damage in dragonflies
par: Yu, Peng, et autres
Publié: (2025)

Physics-Informed Neural Networks for the Korteweg-de Vries Equation for Internal Solitary Wave Problem: Forward Simulation and Inverse Parameter Estimation
par: Kang, Ming, et autres
Publié: (2025)

Invariant Control Strategies for Active Flow Control using Graph Neural Networks
par: Kurz, Marius, et autres
Publié: (2025)

A Provably Robust Multi-Jet Framework applied to Active Flow Control of an Airfoil in Weakly Compressible Flow
par: Kaushik, Rohan, et autres
Publié: (2026)

Predictive Criteria for Electrospray-Assisted Droplet Dynamics in Aerodynamic Flow Fields
par: Kahn, Ethan
Publié: (2025)

Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-ω$ Turbulence Model
par: Davidson, Lars
Publié: (2025)

Modal Force Partitioning -- A Method for Determining the Aerodynamic Loads for Decomposed Flow Modes with Application to Aeroacoustic Noise
par: Prakhar, Suryansh, et autres
Publié: (2025)

Aerodynamics and Aeroacoustics of da Vinci's Aerial Screw
par: Prakhar, Suryansh, et autres
Publié: (2025)

Extreme Aerodynamics: A Data-Driven Perspective
par: Taira, Kunihiko
Publié: (2025)

Numerical Simulation of the Cleaning Process of Microchannel by an External Flow
par: Maryshev, Boris S., et autres
Publié: (2025)

Physics Informed Neural Network-based Computational Method for Accelerating Time-Periodic Unsteady CFD Simulations
par: Chaplot, Lakshya, et autres
Publié: (2026)

An approximate Riemann solver approach in Physics-Informed Neural Networks for hyperbolic conservation laws
par: Urbán, Jorge F., et autres
Publié: (2025)

Model-Based Reinforcement Learning for Control of Strongly-Disturbed Unsteady Aerodynamic Flows
par: Liu, Zhecheng, et autres
Publié: (2024)

Internal Aerodynamics of Supersonic Crossflows with Transverse Liquid Injection
par: V V, Srinivas M, et autres
Publié: (2025)

Discontinuity Computing using Physics-Informed Neural Network
par: Liu, Li, et autres
Publié: (2022)

Analysis of In-cylinder Flow Structures and Turbulence in a Laboratory Scale Engine using Direct Numerical Simulations
par: Danciu, Bogdan A., et autres
Publié: (2025)

On the Energy Analysis of Two-phase Flows Simulated with the Diffuse Interface Method
par: Mostafavi, Ali, et autres
Publié: (2025)

A Framework of Data Assimilation for Wind Flow Fields by Physics-informed Neural Networks
par: Yan, Chang, et autres
Publié: (2024)

Unified Momentum Model for Rotor Aerodynamics Across Operating Regimes
par: Liew, Jaime, et autres
Publié: (2024)