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

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

3 January 2021

Nesar Ramachandra

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

10 / 10 papers shown

Title
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 114 0 0 13 Feb 2025
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 30 0 0 17 Oct 2024
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 25 2 0 18 Jan 2024
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 47 13 0 24 Jun 2023
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 W. Yao AI4CE 37 24 0 14 Apr 2023
The transformative potential of machine learning for experiments in fluid mechanics Ricardo Vinuesa Steven L. Brunton B. McKeon AI4CE 35 68 0 28 Mar 2023
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 AI4CE DiffM 33 16 0 01 Mar 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows Kai Fukami K. Fukagata Kunihiko Taira AI4CE 22 104 0 26 Jan 2023
Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks Xiaodong He Yinan Wang Juan Li GNN 25 19 0 10 May 2022
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network Ekhi Ajuria Illarramendi M. Bauerheim B. Cuenot 33 19 0 20 Sep 2021