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  4. Cited By
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

Nature Machine Intelligence (Nat. Mach. Intell.), 2021
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"

39 / 39 papers shown
Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors
Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors
Shihang Li
Zhiqiang Gong
Weien Zhou
Yue Gao
Wen Yao
AI4CE
185
0
0
01 Dec 2025
Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
Letian Yi
Tingpeng Zhang
Mingyuan Zhou
Guannan Wang
Quanke Su
Zhilu Lai
DiffM
115
0
0
01 Dec 2025
AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning
AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning
Qile Jiang
George Em Karniadakis
AI4CE
293
9
0
10 Nov 2025
Guiding diffusion models to reconstruct flow fields from sparse data
Guiding diffusion models to reconstruct flow fields from sparse data
Marc Amorós-Trepat
Luis Medrano-Navarro
Qiang Liu
Luca Guastoni
Nils Thuerey
DiffMAI4CE
331
10
0
22 Oct 2025
Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor
Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor
Stefano Riva
Carolina Introini
J. Nathan Kutz
Antonio Cammi
AI4CE
168
3
0
14 Oct 2025
LatentFlow: Cross-Frequency Experimental Flow Reconstruction from Sparse Pressure via Latent Mapping
LatentFlow: Cross-Frequency Experimental Flow Reconstruction from Sparse Pressure via Latent Mapping
Junle Liu
Chang Liu
Yanyu Ke
Qiuxiang Huang
Jiachen Zhao
Wenliang Chen
K.T. Tse
Gang Hu
115
0
0
19 Aug 2025
Multimodal Atmospheric Super-Resolution With Deep Generative Models
Multimodal Atmospheric Super-Resolution With Deep Generative Models
Dibyajyoti Chakraborty
Haiwen Guan
Jason Stock
T. Arcomano
Guido Cervone
R. Maulik
DiffM
324
8
0
28 Jun 2025
Learning Mappings in Mesh-based Simulations
Learning Mappings in Mesh-based SimulationsStructural And Multidisciplinary Optimization (SMO), 2025
Shirin Hosseinmardi
Ramin Bostanabad
AI4CE
189
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
328
1
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
Chao Guo
Mingsheng Long
DiffM
608
3
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 reviewInformation Fusion (Inf. Fusion), 2025
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINNAI4CE
599
24
0
13 Feb 2025
Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks
Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor NetworksExpert systems with applications (ESWA), 2025
Jaemin Seo
Geunsik Bae
H. Oh
264
0
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 intelligenceWind Energy (WE), 2024
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
276
2
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 reconstructionApplied Thermal Engineering (Appl. Therm. Eng.), 2024
Xu Liu
Wen Yao
Wei Peng
Zhuojia Fu
Zixue Xiang
Xiaoqian Chen
217
11
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
332
1
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 constraintComputer Methods in Applied Mechanics and Engineering (CMAME), 2024
Hanyang Wang
Hao Zhou
Sibo Cheng
AI4CE
198
17
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
335
8
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
Zhongjing Jiang
Shinjae Yoo
BDLAI4CE
164
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
209
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
127
2
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 sensorsJournal of Computational Physics (JCP), 2023
Sibo Cheng
Che Liu
Wenhan Luo
Rossella Arcucci
236
34
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 caseJournal of Advances in Modeling Earth Systems (JAMES), 2023
R. Mojgani
Ashesh Chattopadhyay
Pedram Hassanzadeh
293
11
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
340
22
0
24 Jun 2023
Grasping Extreme Aerodynamics on a Low-Dimensional Manifold
Grasping Extreme Aerodynamics on a Low-Dimensional ManifoldNature Communications (Nat. Commun.), 2023
Kai Fukami
Kunihiko Taira
AI4CE
328
101
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 OperatorThe Physics of Fluids (Phys. Fluids), 2023
Yanfang Lyu
Xiaoyu Zhao
Zhiqiang Gong
Xiao Kang
Wen Yao
AI4CE
225
48
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 mechanicsNature Reviews Physics (Nat. Rev. Phys.), 2023
Ricardo Vinuesa
Steven L. Brunton
B. McKeon
AI4CE
197
116
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 modelsThe Physics of Fluids (Phys. Fluids), 2023
A. Rybchuk
M. Hassanaly
N. Hamilton
P. Doubrawa
Mitchell J. Fulton
L. Martínez‐Tossas
AI4CEDiffM
249
22
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
236
6
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 operatorInternational journal of thermal sciences (Int. J. Therm. Sci.), 2023
Xiaoyu Zhao
Xiaoqian Chen
Zhiqiang Gong
Weien Zhou
Wen Yao
Yunyang Zhang
AI4CE
178
45
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 AutoencodersInternational Journal of Heat and Fluid Flow (IJHFF), 2023
Ali Girayhan Ozbay
S. Laizet
AI4CE
256
3
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 FlowsTheoretical and Computational Fluid Dynamics (TCFD), 2023
Kai Fukami
K. Fukagata
Kunihiko Taira
AI4CE
402
159
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
194
16
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
154
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
356
5
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 NetworksThe Physics of Fluids (Phys. Fluids), 2022
Xiaodong He
Yinan Wang
Juan Li
GNN
254
35
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
150
11
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
305
26
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
231
42
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
407
30
0
17 Aug 2021
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