Cover Image

Scaled-up prediction of steady Navier-Stokes equation with component reduced order modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chung, Seung Whan, Choi, Youngsoo, Roy, Pratanu, Roy, Thomas, Lin, Tiras Y., Nguyen, Du T., Hahn, Christopher, Duoss, Eric B., Baker, Sarah E.
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis Mathematical Physics Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow
by: Chung, Seung Whan, et al.
Published: (2024)

Train Small, Model Big: Scalable Physics Simulators via Reduced Order Modeling and Domain Decomposition
by: Chung, Seung Whan, et al.
Published: (2023)

Scalable nonlinear manifold reduced order model for dynamical systems
by: Zanardi, Ivan, et al.
Published: (2024)

Hard-constrained Physics-informed Neural Networks for Interface Problems
by: Chung, Seung Whan, et al.
Published: (2026)

Exact Enforcement of Temporal Continuity in Sequential Physics-Informed Neural Networks
by: Roy, Pratanu, et al.
Published: (2024)

Local Reduced-Order Modeling for Electrostatic Plasmas by Physics-Informed Solution Manifold Decomposition
by: Tsai, Ping-Hsuan, et al.
Published: (2023)

Latent Space Dynamics Identification for Interface Tracking with Application to Shock-Induced Pore Collapse
by: Chung, Seung Whan, et al.
Published: (2025)

Finite difference physics-informed neural networks enable improved solution accuracy of the Navier-Stokes equations
by: Roy, Nityananda, et al.
Published: (2024)

Approximating a branch of solutions to the Navier--Stokes equations by reduced-order modeling
by: Olshanskii, Maxim A., et al.
Published: (2024)

Sequential decoder training for improved latent space dynamics identification
by: Anderson, William, et al.
Published: (2025)

A time-parallel multiple-shooting method for large-scale quantum optimal control
by: Petersson, N. Anders, et al.
Published: (2024)

Intrinsic expansions in large Grashof numbers for the steady states of the Navier-Stokes equations
by: Hoang, Luan, et al.
Published: (2024)

ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning
by: Chen, Wenqian, et al.
Published: (2026)

Lagrangian for Navier-Stokes equations of motion: SDPD approach
by: Kornilova, Tatyana, et al.
Published: (2026)

Physical completion of the Navier-Stokes equations
by: Braunstein, Samuel L.
Published: (2026)

mLaSDI: Multi-stage latent space dynamics identification
by: Anderson, William, et al.
Published: (2025)

Multi-stream physics hybrid networks for solving Navier-Stokes equations
by: Sedykh, Aleksandr, et al.
Published: (2025)

Fourth- and higher-order finite element methods for the incompressible Navier-Stokes equations with Dirichlet boundary conditions
by: Li, Yang, et al.
Published: (2025)

Generative Latent Space Dynamics of Electron Density
by: Chiang, Yuan, et al.
Published: (2025)

Machine-precision energy conservative reduced models for Lagrangian hydrodynamics by quadrature methods
by: Vales, Chris, et al.
Published: (2025)

A fourth order sharp immersed method for the incompressible Navier-Stokes equations with stationary and moving boundaries and interfaces
by: Ji, Xinjie, et al.
Published: (2025)

Schrödinger-Navier-Stokes Equation for the Quantum Simulation of Navier-Stokes Flows
by: Cappelli, Luca, et al.
Published: (2026)

Global regularity for the Navier-Stokes equations with application to global solvability for the Euler equations
by: Ri, Myong-Hwan
Published: (2026)

Gappy AE: A Nonlinear Approach for Gappy Data Reconstruction using Auto-Encoder
by: Kim, Youngkyu, et al.
Published: (2023)

Interpreting the suction stress profiles under steady-state conditions considering the independence of van Genuchten SWCC parameters
by: Roy, Sumanta, et al.
Published: (2024)

Determination of lattice functions and 2nd-order transfer matrix for High Power Cyclotron
by: Oh, B-H., et al.
Published: (2018)

Accelerating high order discontinuous Galerkin solvers using neural networks: 3D compressible Navier-Stokes equations
by: de Lara, Fernando Manrique, et al.
Published: (2022)

On the refined analyticity radius of 3-D generalized Navier-Stokes equations
by: Li, Dong, et al.
Published: (2024)

On asymptotically almost periodic mild solutions for Navier-Stokes equations on non-compact Riemannian manifolds
by: Xuan, Pham Truong, et al.
Published: (2023)

Thermodynamically consistent Cahn-Hilliard-Navier-Stokes equations using the metriplectic dynamics formalism
by: Zaidni, Azeddine, et al.
Published: (2024)

A high order accurate and energy stable continuous Galerkin framework on summation-by-parts form for the incompressible Navier-Stokes equations
by: Mandal, Mrityunjoy, et al.
Published: (2026)

Fractional and tempered fractional models for Reynolds-averaged Navier-Stokes equations
by: Mehta, Pavan Pranjivan
Published: (2023)

Aliasing and phase shifting in pseudo-spectral simulations of the incompressible Navier-Stokes equations
by: Lambert, Clovis, et al.
Published: (2026)

Sharp nonuniqueness for the forced 2D Navier-Stokes and dissipative SQG equations
by: Mengual, Francisco, et al.
Published: (2026)

Existence of smooth solutions of the Navier-Stokes equations in three-dimensional Euclidean space
by: Liu, Genqian
Published: (2025)

Solving the (Navier-)Stokes equations with space and time adaptivity using deal.II
by: Munch, Peter, et al.
Published: (2026)

High-order gas-kinetic scheme in curvilinear coordinates for the Euler and Navier-Stokes solutions
by: Pan, Liang, et al.
Published: (2019)

200 Years of the Navier-Stokes Equation
by: Bistafa, Sylvio R.
Published: (2023)

Interpretation of stochastic primitive equations with relaxed hydrostatic assumption as a higher order approximation of 3D stochastic Navier-Stokes
by: Debussche, Arnaud, et al.
Published: (2026)

An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations
by: Anandh, Thivin, et al.
Published: (2024)