Published inLevel Up CodingOptimizing Outputs with OpenFOAM’s writeObjectsEfficient data handling is a cornerstone of successful computational fluid dynamics simulations, and OpenFOAM provides powerful tools to…Jan 27Jan 27
Published inLevel Up CodingEfficiently Extracting Sub-Domains from OpenFOAM SimulationsSimulating complex fluid flow phenomena often involves large computational domains, but the region of interest is usually much smaller…Jan 13Jan 13
Published inLevel Up CodingExtracting 3D Snapshots from OpenFOAM for Modal Decomposition AnalysisIn Computational Fluid Dynamics (CFD), understanding complex flow dynamics often requires the extraction of meaningful insights from vast…Jan 61Jan 61
Published inLevel Up CodingBuilding Your Python Toolbox for CFDPython has emerged as a powerful tool for Computational Fluid Dynamics (CFD) simulations due to its open-source nature, extensive…Dec 23, 20241Dec 23, 20241
Published inLevel Up CodingData-Driven Modal Analysis with MODULO and OpenFOAMIn recent years, data-driven modal decomposition has become an essential tool in fluid dynamics research, offering a powerful means to…Dec 9, 2024Dec 9, 2024
Published inPython in Plain EnglishRevealing Complex Dynamics with Multi-Resolution Dynamic Mode DecompositionData-driven analysis has unlocked new ways to decipher complex systems, with Dynamic Mode Decomposition (DMD) becoming a cornerstone method…Nov 11, 2024Nov 11, 2024
Published inStackademicCompressed Sensing: Reconstructing the Whole from the SparseIn data acquisition, the need for high-resolution measurements often comes with a cost — both in terms of time and resources. Compressed…Nov 4, 2024Nov 4, 2024
Published inLevel Up CodingThe Role of L1 and L2 Norms in Compressed SensingIn the world of data-driven modeling and signal processing, compressed sensing has emerged as a powerful technique for recovering signals…Oct 21, 2024Oct 21, 2024
Published inLevel Up CodingSparsity Promoting Dynamic Mode Decomposition: A Game Changer in Data-Driven AnalysisIn the world of data-driven analysis, extracting meaningful patterns from complex fluid flows is a significant challenge. Sparsity…Oct 7, 20241Oct 7, 20241
Published inLevel Up CodingAutomatic Dimensionality Reduction: Exploring the Power of Optimal Singular Value Hard Threshold…Singular Value Decomposition (SVD) is a powerful tool for data analysis, but its output can be overwhelming due to high dimensionality…Sep 30, 2024Sep 30, 2024