abcd, Data Management for Machine Learning Interatomic Potentials (MLIP)

abcd, Data Management for Machine Learning Interatomic Potentials (MLIP), offers a suite of tools that allow users to programmatically import data from a repository and utilize it on their local infrastructure. This enables exploration of data in ways that would be too resource-intensive for a general service. Designed specifically for machine-learned interatomic potentials, abcd supports both OpenSearch and MongoDB as backend options, giving users flexibility in their setup. The tool is developed in collaboration with the University of Cambridge.