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An autoencoder-based reduced-order model for eigenvalue problems with
  application to neutron diffusion

An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion

15 August 2020
Toby R. F. Phillips
C. Heaney
Paul N. Smith
Christopher C. Pain
ArXivPDFHTML

Papers citing "An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion"

10 / 10 papers shown
Title
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINN
AI4CE
111
0
0
13 Feb 2025
Polytopic Autoencoders with Smooth Clustering for Reduced-order
  Modelling of Flows
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
Jan Heiland
Yongho Kim
AI4CE
24
2
0
19 Jan 2024
An autoencoder compression approach for accelerating large-scale inverse
  problems
An autoencoder compression approach for accelerating large-scale inverse problems
J. Wittmer
Jacob Badger
H. Sundar
T. Bui-Thanh
AI4CE
29
1
0
10 Apr 2023
Solving the Discretised Boltzmann Transport Equations using Neural
  Networks: Applications in Neutron Transport
Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport
Toby R. F. Phillips
C. Heaney
Boyang Chen
A. Buchan
Christopher C. Pain
29
5
0
24 Jan 2023
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a
  Single Image using 3D Supervision
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision
AmirHossein Zamani
A. Aghdam
K. Ghaffari
3DV
3DPC
19
1
0
20 Sep 2022
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with
  Machine Learning Surrogate Models
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Sibo Cheng
Jianhua Chen
Charitos Anastasiou
P. Angeli
Omar K. Matar
Yi-Ke Guo
Christopher C. Pain
Rossella Arcucci
AI4CE
36
60
0
07 Apr 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for
  Extended Domains applied to Multiphase Flow in Pipes
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes
C. Heaney
Zef Wolffs
Jón Atli Tómasson
L. Kahouadji
P. Salinas
A. Nicolle
Omar K. Matar
Ionel M. Navon
N. Srinil
Christopher C. Pain
AI4CE
26
21
0
13 Feb 2022
Adversarial autoencoders and adversarial LSTM for improved forecasts of
  urban air pollution simulations
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations
César Quilodrán-Casas
Rossella Arcucci
Laetitia Mottet
Yike Guo
Christopher C. Pain
AI4CE
22
8
0
13 Apr 2021
Non-intrusive reduced order modeling of poroelasticity of heterogeneous
  media based on a discontinuous Galerkin approximation
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation
T. Kadeethum
F. Ballarin
N. Bouklas
AI4CE
45
26
0
28 Jan 2021
Applying Convolutional Neural Networks to Data on Unstructured Meshes
  with Space-Filling Curves
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves
C. Heaney
Yuling Li
Omar K. Matar
Christopher C. Pain
AI4CE
11
15
0
24 Nov 2020
1