Introduction

The Atomic Simulation Environment (ASE) is a powerful toolkit that facilitates various types of chemical simulations by providing an object‐oriented interface for representing and manipulating groups of atoms. ASE’s flexibility has enabled numerous successful projects, particularly in the fields of physical chemistry, and materials science. However, when it comes to post‐simulation analysis—especially for analyzing diverse simulation trajectories—existing tools often fall short.

CRISP (Comprehensive Repository for Insightful Simulation Post-processing) aims to fill this gap by offering a seamless workflow from simulation to analysis, enabling researchers to extract meaningful insights without juggling multiple scripts. It’s features are,

• User-friendly: Optimized for ease of use with detailed examples and extensive outputs that support nuanced data analysis.

• Highly parallelized: Employs parallelization techniques that scale linearly with the number of CPU cores, enabling rapid analysis of large systems and long simulations on high-performance computing clusters.

• Interactive Visualisation: Produces HTML outputs that facilitate interactive exploration of structural changes in the system.

• Integration: Seamlessly integrates with ASE, scikit-learn, and other Python packages to provide a comprehensive analysis environment.

CRISP’s capacity to analyze any simulation trajectory, coupled with its powerful and customizable analysis features, makes it an useful tool for researchers seeking to characterize effectively atomic and molecular behaviors within simulated systems.