How can i simulate and generate data for acoustic metamaterial ?

I was going through a research article on identifying hidden patterns in metamaterials using Machine Learning. And there the data for training the models was generated through MATLAB. Being completely new to MATLAB how do i proceed?

According to the article to generate the data, dispersion relation along the wavevector contour is evaluated. To evaluate the dispersion relation, a series of eigenvalues problems given by harmonic elastic wave equation with Bloch-Floquet periodic boundary conditions is solved. Then to discretize and solve the eigenvalue problem, Finite Element method using bilinear quadrilateral elements. The boundary conditions are baked into the wavevector-dependent stiffness and mass matrices. This code is implemented in MATLAB.

How can i replicate this ?

Answer 1

[Sulaymon Eshkabilov]

MATHWORKS has a bunch of remarkable tutorials on ML. You should train yourself through these training courses which will help you how to start applying ML without even a decent MATLAB programming skills. Here is a doc on ML App of MATLAB: https://www.mathworks.com/help/stats/machine-learning-in-matlab.html

Here are a few of them: https://www.mathworks.com/solutions/machine-learning/tutorials-examples.html

[Anshuman]

I have a pretty good idea on the basics of the ML models and actively use them though through python.

What I need in help in is in replicating the data generation part like I have mentioned in the description. Like does MATHWORKS provide any tools for simulating dispersion relations and then exporting the data or do I have to write the code from scratch ?