Preface: Characterisation of Physical Processes from Anomalous Diffusion Data
Carlo Manzo, Gorka Mu\~noz-Gil, Giovanni Volpe, Miguel Angel, Garcia-March, Maciej Lewenstein, Ralf Metzler

TL;DR
This special issue introduces methods for analyzing physical processes through anomalous diffusion data, highlighting recent advances and challenges in characterizing complex systems.
Contribution
It compiles recent research and methodologies for characterizing physical processes from anomalous diffusion data, advancing understanding in this field.
Findings
Compilation of novel analytical techniques
Insights into physical process characterization
Benchmark results from the Anomalous Diffusion Challenge
Abstract
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. The list of articles included in the special issue can be accessed at https://iopscience.iop.org/journal/1751-8121/page/Characterisation-of-Physical-Processes-from-Anomalous-Diffusion-Data .
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Taxonomy
TopicsStatistical Mechanics and Entropy · Earthquake Detection and Analysis · Computational Physics and Python Applications
MethodsDiffusion
