Tutorials

Step-by-step guide of STEP

With these tutorials, we aim to make our library more accessible to everyone. Our goal is to show how to reproduce the results of our paper and provide you with the necessary tools to tackle your problems following our approach.

The tutorials include:

1. Model training: an introduction to generate data sets and train machine learning models to characterize heterogeneous diffusive processes.
2. Benchmark: Brownian motion: a characterization of the capabilities of our approach to study Brownian motion with changes over time.
3. Benchmark: anomalous diffusion: a characterization of the capabilities of our approach to study anomalous diffusion processes with changes over time.
4. Anomalous diffusion from normal diffusion: examples of how to use the time-dependent normal diffusion properties through time to understand the emergence of anomalous diffusion.