Learn how to locate damage in structures using sound waves. This article explains the physics of acoustic emission, the mathematics of TDOA localization, and provides complete MATLAB code—from theory to working implementation.
A comprehensive guide to Brillouin zones: from reciprocal space construction to high-symmetry point analysis. Learn to navigate band structure diagrams for phononic crystals and acoustic metamaterials.
A comprehensive guide to acoustic dispersion curves: from basic definitions to practical applications in NDT and metamaterials. Learn to read ω-k diagrams, understand phase vs. group velocity, and interpret Lamb wave and phononic crystal spectra.
This post demonstrates end-to-end implementation of local large language models using Ollama framework, featuring three open-source clients: Page Assist browser extension for web integration, Cherry Studio for VS Code development environments, and AnythingLLM desktop application for document-driven AI workflows. The tutorial covers installation protocols, API configuration best practices, and performance optimization techniques for Windows-based LLM deployments.
Want to run LLMs locally on Windows? This guide walks you through the complete Ollama workflow—from installation and path configuration to model selection—getting your private AI up and running in minutes.
Simulating acoustic wave diffraction through a single slit using k-Wave and COMSOL. This post covers the physics of wave diffraction, problem setup, and comparison between pseudospectral and finite element methods.
Simulating acoustic wave propagation through a multi-layer medium with varying sound speed and density. This post covers the underlying physics, problem setup, and numerical implementation using k-Wave and COMSOL.
Learn how the k-space pseudospectral method achieves spectral accuracy with the flexibility of finite differences. The secret weapon behind k-Wave and modern acoustics simulation.
Dirichlet, Neumann, or Robin? Understanding boundary conditions is essential for correctly setting up PDE problems. Learn the physical meaning behind each type and when to use them.
A comprehensive comparison of Finite Difference, Finite Element, and Spectral Methods for solving PDEs. Learn the theory through the 1D wave equation, implement in Python, and understand when to use each approach.