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"

7 / 7 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 107 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 26 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 17 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 34 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 27 24 0 14 Apr 2023
The transformative potential of machine learning for experiments in fluid mechanics Ricardo Vinuesa Steven L. Brunton B. McKeon AI4CE 19 68 0 28 Mar 2023
Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks Xiaodong He Yinan Wang Juan Li GNN 14 19 0 10 May 2022