Preface: Characterisation of Physical Processes from Anomalous Diffusion Data

no code implementations • 2 Jan 2023 • Carlo Manzo, Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March, Maciej Lewenstein, Ralf Metzler

Preface to the special issue "Characterisation of Physical Processes from Anomalous Diffusion Data" associated with the Anomalous Diffusion Challenge ( https://andi-challenge. org ) and published in Journal of Physics A: Mathematical and Theoretical.

Machine learning method for single trajectory characterization

1 code implementation • 7 Mar 2019 • Gorka Muñoz-Gil, Miguel Angel Garcia-March, Carlo Manzo, José D. Martín-Guerrero, Maciej Lewenstein

In this paper, we propose a machine learning method based on a random forest architecture, which is able to associate even very short trajectories to the underlying diffusion mechanism with a high accuracy.

BIG-bench Machine Learning Transfer Learning