CITATION.cff

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cff-version: 1.2.0
title: AIdsorb
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Antonios P.
    family-names: Sarikas
    orcid: 'https://orcid.org/0009-0008-8420-927X'
identifiers:
  - type: doi
    value: 10.1038/s41598-024-76319-8
    description: The DOI of the paper.
repository-code: 'https://github.com/adosar/aidsorb'
url: 'https://aidsorb.readthedocs.io/en/stable/'
abstract: >-
  Python package for deep learning on molecular point
  clouds.
keywords:
  - deep learning
  - geometric deep learning
  - point clouds
  - machine learning
  - pytorch
  - pytorch lightning
  - porous materials
  - material informatics
  - metal-organic frameworks
  - molecular point clouds
license: GPL-3.0-only