Image de couverture de livre

Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state simulations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhou, Xu-Hui, Han, Jiequn, Zafar, Muhammad I., Wolf, Eric M., Schrock, Christopher R., Roy, Christopher J., Xiao, Heng
Format:	Preprint
Publié:	2023
Sujets:	Computational Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Data-Driven Turbulence Modeling Approach for Cold-Wall Hypersonic Boundary Layers
par: Zafar, Muhammad I., et autres
Publié: (2024)

Acceleration of RANS Solver Convergence via Initialization with Wake Extension Models
par: Fuchi, Kazuko W., et autres
Publié: (2025)

Powerful quasi-steady-state plasma accelerator for fusion experiments
par: V.I. Tereshin
Publié: (2002)

Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control
par: Zhao, Yue, et autres
Publié: (2022)

Multi-Fidelity Machine Learning Applied to Steady Fluid Flows
par: Fuchi, Kazuko W., et autres
Publié: (2025)

Self-Supervised Amortized Neural Operators for Optimal Control: Scaling Laws and Applications
par: Xu, Wuzhe, et autres
Publié: (2025)

Posterior Sampling with Denoising Oracles via Tilted Transport
par: Bruna, Joan, et autres
Publié: (2024)

Reinforcement Learning with Function Approximation: From Linear to Nonlinear
par: Long, Jihao, et autres
Publié: (2023)

On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
par: Li, Zhong, et autres
Publié: (2020)

The Ik language: Dictionary and grammar sketch
par: Schrock, Terrill
Publié: (2017)

Scouting the Web for Science Resources
par: Schrock, Kathy
Publié: (2006)

Which Do You Want To Use Today? The Browser Comparative.
par: Schrock, Kathy
Publié: (1999)

Keyword Searching and the Internet: Not Just for the Library Anymore.
par: Schrock, Kathleen
Publié: (1997)

Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control
par: Domingo-Enrich, Carles, et autres
Publié: (2026)

ReBaNO: Reduced Basis Neural Operator Mitigating Generalization Gaps and Achieving Discretization Invariance
par: Zheng, Haolan, et autres
Publié: (2025)

Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations
par: Shahab, Muhammad Luthfi, et autres
Publié: (2024)

Neural operator accelerated atomistic to continuum concurrent multiscale simulations of viscoelasticity
par: Sohail, Tanvir, et autres
Publié: (2026)

Fermionic theory of nonequilibrium steady states
par: De Giuli, Eric, et autres
Publié: (2023)

Lattice Boltzmann method for warm fluid simulations of plasma wakefield acceleration
par: Simeoni, Daniele, et autres
Publié: (2023)

Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants
par: Modi, Chirag, et autres
Publié: (2025)

A brief review of the Deep BSDE method for solving high-dimensional partial differential equations
par: Han, Jiequn, et autres
Publié: (2025)

Instance-Wise Adaptive Sampling for Dataset Construction in Approximating Inverse Problem Solutions
par: Han, Jiequn, et autres
Publié: (2025)

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
par: Morel, Rudy, et autres
Publié: (2025)

Test-time Generalization for Physics through Neural Operator Splitting
par: Serrano, Louis, et autres
Publié: (2026)

The Technology Connection: Building a Successful Library Media Program. Professional Growth Series[R].
par: Schrock, Kathleen, Ed.
Publié: (2000)

Hadamard states for decomposable Green-hyperbolic operators
par: Fewster, Christopher J.
Publié: (2025)

Experimental methods in chemical engineering–Validation of steady‐state simulation
par: Caroline Brucel, et autres
Publié: (2025)

Progressive Optimal Path Sampling for Closed-Loop Optimal Control Design with Deep Neural Networks
par: Zhang, Xuanxi, et autres
Publié: (2022)

Efficient algorithm for fidelity estimation of two quantum states
par: Mukhopadhyay, Anumita, et autres
Publié: (2025)

Quantum DeepONet: Neural operators accelerated by quantum computing
par: Xiao, Pengpeng, et autres
Publié: (2024)

Lowest order Carleman linearization for steady state fluid flow simulations
par: Cappelli, Luca, et autres
Publié: (2026)

Scaled-up prediction of steady Navier-Stokes equation with component reduced order modeling
par: Chung, Seung Whan, et autres
Publié: (2024)

Revisiting the first-principles approach to the granular gas steady state
par: R. C. Proleon
Publié: (2004)

Variational quantum simulation: a case study for understanding warm starts
par: Puig, Ricard, et autres
Publié: (2024)

Iterative quantum optimisation with a warm-started quantum state
par: Yuan, Haomu, et autres
Publié: (2025)

Machine-learning approaches to accelerating lattice simulations
par: Lawrence, Scott
Publié: (2025)

PHANTOM: Progressive High-fidelity Adversarial Network for Threat Object Modeling
par: Al-Karaki, Jamal, et autres
Publié: (2025)

Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow
par: Chung, Seung Whan, et autres
Publié: (2024)

Inquiring Educators Want To Know: TeacherQuests[TM] for Today's Teachers. Professional Growth Series.
par: Schrock, Kathleen, et autres
Publié: (2000)

Observation of multiple steady states with engineered dissipation
par: Li, Li, et autres
Publié: (2023)