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AMWNN: Auxiliary Multiresolution Wavelet-based NeuralNetworks for Solving Radiative Transfer Problems

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Orthonormal bases of compactly supported wavelets

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An implicit Monte Carlo scheme for calculating time and frequency dependent nonlinear radiation transport

inferredcites →https://doi.org/10.1016/j.camwa.2023.11.023openalex-snapshot

Local randomized neural networks with discontinuous Galerkin methods for diffusive-viscous wave equation

inferredcites →https://doi.org/10.1016/j.cnsns.2023.107518openalex-snapshot

Randomized neural network with Petrov–Galerkin methods for solving linear and nonlinear partial differential equations

inferredcites →https://doi.org/10.1016/j.jcp.2018.10.045openalex-snapshot

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

inferredcites →https://doi.org/10.1016/j.neucom.2019.12.099openalex-snapshot

Physics Informed Extreme Learning Machine (PIELM)–A rapid method for the numerical solution of partial differential equations

inferredcites →https://doi.org/10.1016/s0022-4073(99)00150-8openalex-snapshot

Diffusion, P1, and other approximate forms of radiation transport

inferredcites →https://doi.org/10.1061/jenmdt.emeng-7463openalex-snapshot

Randomized Neural Networks with Petrov–Galerkin Methods for Solving Linear Elasticity and Navier–Stokes Equations

inferredcites →https://doi.org/10.1063/5.0167155openalex-snapshot

Auxiliary physics-informed neural networks for forward, inverse, and coupled radiative transfer problems

inferredcites →https://doi.org/10.1126/science.aaw4741openalex-snapshot

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

inferredcites →https://doi.org/10.1137/16m1061072openalex-snapshot

High Order Positivity-Preserving Discontinuous Galerkin Methods for Radiative Transfer Equations

inferredcites →https://doi.org/10.13182/nse62-391openalex-snapshot

Ray-Effect Mitigation Methods for Two-Dimensional Neutron Transport Theory

inferredcites →https://doi.org/10.13182/nse72-a22523openalex-snapshot

Spherical Harmonic Solutions of the Neutron Transport Equation from Discrete Ordinate Codes

inferredcites →https://doi.org/10.1360/ssm-2020-0278openalex-snapshot

Unified gas kinetic schemes for the radiation transfer equations

inferredcites →https://doi.org/10.1615/jmachlearnmodelcomput.2021038005openalex-snapshot

hp-VARIATIONAL PHYSICS-INFORMED NEURAL NETWORKS FOR NONLINEAR TWO-PHASE TRANSPORT IN POROUS MEDIA

inferredcites →https://doi.org/10.4208/cicp.oa-2020-0185openalex-snapshot

Machine Learning and Computational Mathematics

inferredcites →https://doi.org/10.4208/cicp.oa-2020-0219openalex-snapshot

Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions

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