Cover Image

High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Farmer, Joseph, Smith, Ethan, Bennett, William, McClarren, Ryan
Format:	Preprint
Published:	2024
Subjects:	Computational Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Consistent Solutions of the Radiation Diffusion Equation in Spherical and Cylindrical Geometries
by: Smith, Ethan, et al.
Published: (2025)

Weak-DMD: A Galerkin approach to the problem of noise in the Dynamic Mode Decomposition algorithm
by: Bennett, William, et al.
Published: (2026)

Generative Monte Carlo Sampling for Constant-Cost Particle Transport
by: Farmer, Joseph A., et al.
Published: (2025)

Derivative Source Method for Monte Carlo Transport Calculation of Sensitivities to Material Densities and Dimensions
by: Variansyah, Ilham, et al.
Published: (2025)

Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty
by: Tang, Jichuan, et al.
Published: (2025)

Collision-Based Hybrid Method for Two-Dimensional Neutron Transport Problems
by: Whewell, Ben, et al.
Published: (2025)

Fast, Accurate Numerical Evaluation of Incomplete Planck Integrals
by: Lewis, Whit, et al.
Published: (2025)

A unified theory of the self-similar supersonic Marshak wave problem
by: Krief, Menahem, et al.
Published: (2024)

Self-similar solutions for the non-equilibrium nonlinear supersonic Marshak wave problem
by: Krief, Menahem, et al.
Published: (2024)

Implicit Collision Multiplicity Adjustment for Efficient Monte Carlo Transport Simulation of Reactivity Excursion
by: Variansyah, Ilham, et al.
Published: (2025)

Predicting The Evolution of Interfaces with Fourier Neural Operators
by: Guida, Paolo, et al.
Published: (2025)

Mitigating Spatial Error in the iterative-Quasi-Monte Carlo (iQMC) Method for Neutron Transport Simulations with Linear Discontinuous Source Tilting and Effective Scattering and Fission Rate Tallies
by: Pasmann, Samuel, et al.
Published: (2024)

Scatter-Limited Hybrid Monte Carlo, Deterministic Transport with Quasi-Monte Carlo Sampling
by: Krotz, Johannes, et al.
Published: (2025)

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence
by: Pasmann, Samuel, et al.
Published: (2025)

LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs
by: Wang, Jing, et al.
Published: (2025)

Generative Neural Operators through Diffusion Last Layer
by: Park, Sungwon, et al.
Published: (2026)

A review of low-rank methods for time-dependent kinetic simulations
by: Einkemmer, Lukas, et al.
Published: (2024)

Hybrid Fourier Neural Operator-Plasma Fluid Model for Fast and Accurate Multiscale Simulations of High Power Microwave Breakdown
by: Pandya, Kalp, et al.
Published: (2025)

Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
by: Papierz, Mateusz, et al.
Published: (2026)

State Legislation Relating to Library Systems
by: McClarren, Robert R.
Published: (1970)

Community Analysis.
by: McClarren, Robert R.
Published: (1967)

Curvilinear coordinates and curvature in radiative transport
by: Krotz, Johannes, et al.
Published: (2025)

Plasma Surrogate Modelling using Fourier Neural Operators
by: Gopakumar, Vignesh, et al.
Published: (2023)

Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems
by: Khodakarami, Siavash, et al.
Published: (2025)

Transferable Neural Wavefunctions for Solids
by: Gerard, Leon, et al.
Published: (2024)

Physics-Informed Neural Networks with Fourier Features and Attention-Driven Decoding
by: Arni, Rohan, et al.
Published: (2025)

The non-equilibrium Marshak wave problem in non-homogeneous media
by: Derei, Nitay, et al.
Published: (2024)

Geometry-Informed Neural Operator Transformer
by: Liu, Qibang, et al.
Published: (2025)

Breaking the Precision Ceiling in Physics-Informed Neural Networks: A Hybrid Fourier-Neural Architecture for Ultra-High Accuracy
by: Lee, Wei Shan, et al.
Published: (2025)

Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
by: Shen, Guoyao, et al.
Published: (2023)

Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems
by: Shah, Freya, et al.
Published: (2024)

Neural Operators for Accelerating Scientific Simulations and Design
by: Azizzadenesheli, Kamyar, et al.
Published: (2023)

Pseudo-Physics-Informed Neural Operators: Enhancing Operator Learning from Limited Data
by: Chen, Keyan, et al.
Published: (2025)

Efficient High-Accuracy PDEs Solver with the Linear Attention Neural Operator
by: Zhong, Ming, et al.
Published: (2025)

Generalized Lie Symmetries in Physics-Informed Neural Operators
by: Wang, Amy Xiang, et al.
Published: (2025)

Equilibrium Conserving Neural Operators for Super-Resolution Learning
by: Oommen, Vivek, et al.
Published: (2025)

Walsh-Hadamard Neural Operators for Solving PDEs with Discontinuous Coefficients
by: Cavallazzi, Giorgio M., et al.
Published: (2025)

EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations
by: Eivazi, Hamidreza, et al.
Published: (2025)

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning
by: Marcandelli, Paolo, et al.
Published: (2025)

Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts
by: Leinonen, Jussi, et al.
Published: (2024)