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Global field reconstruction from sparse sensors with Voronoi
  tessellation-assisted deep learning
v1v2 (latest)

Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning

3 January 2021
Kai Fukami
R. Maulik
Nesar Ramachandra
K. Fukagata
Kunihiko Taira
ArXiv (abs)PDFHTML

Papers citing "Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning"

32 / 32 papers shown
Title
Learning Mappings in Mesh-based Simulations
Learning Mappings in Mesh-based Simulations
Shirin Hosseinmardi
Ramin Bostanabad
AI4CE
22
0
0
14 Jun 2025
FR-Mamba: Time-Series Physical Field Reconstruction Based on State Space Model
FR-Mamba: Time-Series Physical Field Reconstruction Based on State Space Model
Jiahuan Long
Wenzhe Zhang
Ning Wang
Tingsong Jiang
Wen Yao
MambaAI4CE
69
0
0
21 May 2025
PhySense: Sensor Placement Optimization for Accurate Physics Sensing
PhySense: Sensor Placement Optimization for Accurate Physics Sensing
Yuezhou Ma
Haixu Wu
Hang Zhou
Huikun Weng
Jianmin Wang
Mingsheng Long
DiffM
219
0
0
19 May 2025
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
PINNAI4CE
172
3
0
13 Feb 2025
Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks
Jaemin Seo
Geunsik Bae
H. Oh
73
1
0
09 Feb 2025
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a
  near-stationary atmospheric boundary layer through generative artificial
  intelligence
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence
A. Rybchuk
Luis A. Martínez-Tossas
Stefano Letizia
N. Hamilton
Andy Scholbrock
Emina Maric
Daniel R. Houck
Thomas G. Herges
Nathaniel B. de Velder
P. Doubrawa
AI4CE
71
0
0
17 Oct 2024
A physics-driven sensor placement optimization methodology for
  temperature field reconstruction
A physics-driven sensor placement optimization methodology for temperature field reconstruction
Xu Liu
Wen Yao
Wei Peng
Zhuojia Fu
Zixue Xiang
Xiaoqian Chen
49
3
0
27 Sep 2024
Physics-aligned Schrödinger bridge
Physics-aligned Schrödinger bridge
Zeyu Li
Hongkun Dou
Shen Fang
Wang Han
Yue Deng
Lijun Yang
AI4CEDiffM
64
0
0
26 Sep 2024
Dynamical system prediction from sparse observations using deep neural
  networks with Voronoi tessellation and physics constraint
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint
Hanyang Wang
Hao Zhou
Sibo Cheng
AI4CE
80
8
0
31 Aug 2024
PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction
PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction
Siming Shan
Pengkai Wang
Song Chen
Jiaxu Liu
Chao Xu
Shengze Cai
AI4CEDiffM
106
1
0
12 Apr 2024
Studying the Impact of Latent Representations in Implicit Neural
  Networks for Scientific Continuous Field Reconstruction
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction
Wei Xu
Derek Freeman DeSantis
Xihaier Luo
Avish Parmar
Klaus Tan
B. Nadiga
Yihui Ren
Shinjae Yoo
BDLAI4CE
65
1
0
09 Apr 2024
WindSeer: Real-time volumetric wind prediction over complex terrain
  aboard a small UAV
WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV
Florian Achermann
Thomas Stastny
Bogdan Danciu
Andrey Kolobov
Jen Jen Chung
Roland Siegwart
Nicholas R. J. Lawrance
63
2
0
18 Jan 2024
Reconstruction of Fields from Sparse Sensing: Differentiable Sensor
  Placement Enhances Generalization
Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization
Agnese Marcato
Dan O’Malley
Hari S. Viswanathan
E. Guiltinan
Javier E. Santos
35
1
0
14 Dec 2023
Efficient deep data assimilation with sparse observations and
  time-varying sensors
Efficient deep data assimilation with sparse observations and time-varying sensors
Sibo Cheng
Che Liu
Yike Guo
Rossella Arcucci
63
22
0
24 Oct 2023
Interpretable structural model error discovery from sparse assimilation
  increments using spectral bias-reduced neural networks: A quasi-geostrophic
  turbulence test case
Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case
R. Mojgani
Ashesh Chattopadhyay
Pedram Hassanzadeh
81
9
0
22 Sep 2023
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
Pu Ren
N. Benjamin Erichson
Shashank Subramanian
Omer San
Z. Lukić
Michael W. Mahoney
Michael W. Mahoney
111
15
0
24 Jun 2023
Grasping Extreme Aerodynamics on a Low-Dimensional Manifold
Grasping Extreme Aerodynamics on a Low-Dimensional Manifold
Kai Fukami
Kunihiko Taira
AI4CE
66
54
0
13 May 2023
Multi-fidelity prediction of fluid flow and temperature field based on
  transfer learning using Fourier Neural Operator
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator
Yanfang Lyu
Xiaoyu Zhao
Zhiqiang Gong
Xiao Kang
Wen Yao
AI4CE
79
27
0
14 Apr 2023
The transformative potential of machine learning for experiments in
  fluid mechanics
The transformative potential of machine learning for experiments in fluid mechanics
Ricardo Vinuesa
Steven L. Brunton
B. McKeon
AI4CE
64
77
0
28 Mar 2023
Ensemble flow reconstruction in the atmospheric boundary layer from
  spatially limited measurements through latent diffusion models
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models
A. Rybchuk
M. Hassanaly
N. Hamilton
P. Doubrawa
Mitchell J. Fulton
L. Martínez‐Tossas
AI4CEDiffM
74
18
0
01 Mar 2023
Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global
  Field Reconstruction
Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction
Yunyang Zhang
Zhiqiang Gong
Xiaoyu Zhao
Wen Yao
AI4CE
88
2
0
23 Feb 2023
RecFNO: a resolution-invariant flow and heat field reconstruction method
  from sparse observations via Fourier neural operator
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator
Xiaoyu Zhao
Xiaoqian Chen
Zhiqiang Gong
Weien Zhou
Wen Yao
Yunyang Zhang
AI4CE
68
24
0
20 Feb 2023
FR3D: Three-dimensional Flow Reconstruction and Force Estimation for
  Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided
  Convolutional Autoencoders
FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders
Ali Girayhan Ozbay
S. Laizet
AI4CE
54
2
0
03 Feb 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Kai Fukami
K. Fukagata
Kunihiko Taira
AI4CE
89
110
0
26 Jan 2023
Forecasting subcritical cylinder wakes with Fourier Neural Operators
Forecasting subcritical cylinder wakes with Fourier Neural Operators
Peter I. Renn
Cong Wang
Sahin Lale
Zong-Yi Li
Anima Anandkumar
Morteza Gharib
AI4CE
72
15
0
19 Jan 2023
Multi-task Learning for Source Attribution and Field Reconstruction for
  Methane Monitoring
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring
Arka Daw
K. Yeo
Anuj Karpatne
L. Klein
49
2
0
02 Nov 2022
Applying Physics-Informed Enhanced Super-Resolution Generative
  Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform
  Meshes and Demonstration of an Accelerated Simulation Workflow
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform Meshes and Demonstration of an Accelerated Simulation Workflow
Mathis Bode
AI4CE
128
3
0
28 Oct 2022
Flow Completion Network: Inferring the Fluid Dynamics from Incomplete
  Flow Information using Graph Neural Networks
Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks
Xiaodong He
Yinan Wang
Juan Li
GNN
48
22
0
10 May 2022
Super-resolution GANs of randomly-seeded fields
Super-resolution GANs of randomly-seeded fields
A. Güemes
C. S. Vila
S. Discetti
29
10
0
23 Feb 2022
Performance and accuracy assessments of an incompressible fluid solver
  coupled with a deep Convolutional Neural Network
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network
Ekhi Ajuria Illarramendi
M. Bauerheim
B. Cuenot
89
21
0
20 Sep 2021
Assessments of epistemic uncertainty using Gaussian stochastic weight
  averaging for fluid-flow regression
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression
Masaki Morimoto
Kai Fukami
R. Maulik
Ricardo Vinuesa
K. Fukagata
UQCV
86
31
0
16 Sep 2021
A Machine Learning Surrogate Modeling Benchmark for Temperature Field
  Reconstruction of Heat-Source Systems
A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source Systems
Xiaoqian Chen
Zhiqiang Gong
Xiaoyu Zhao
Weien Zhou
Wen Yao
AI4CE
139
22
0
17 Aug 2021
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