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CITATION.cff

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cff-version: 1.2.0
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message: "If you use this software, please cite it as below."
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authors:
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- family-names: "Janssen"
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given-names: "Jan"
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cff-version: "1.2.0"
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authors:
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- family-names: Janssen
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given-names: Jan
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orcid: "https://orcid.org/0000-0001-9948-7119"
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- family-names: "Taylor"
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given-names: "Michael Gilbert"
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- family-names: Taylor
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given-names: Michael Gilbert
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orcid: "https://orcid.org/0000-0003-4327-2746"
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- family-names: "Yang"
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given-names: "Ping"
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- family-names: Yang
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given-names: Ping
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orcid: "https://orcid.org/0000-0003-4726-2860"
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- family-names: "Neugebauer"
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given-names: "Joerg"
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- family-names: Neugebauer
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given-names: Joerg
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orcid: "https://orcid.org/0000-0002-7903-2472"
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- family-names: "Perez"
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given-names: "Danny"
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- family-names: Perez
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given-names: Danny
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orcid: "https://orcid.org/0000-0003-3028-5249"
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title: "Executorlib – Up-scaling Python workflows for hierarchical heterogenous high-performance computing"
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version: 0.4
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doi: 10.21105/joss.07782
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date-released: 2025-04-05
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license: "BSD-3-Clause"
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url: "http://github.com/pyiron/executorlib"
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doi: 10.5281/zenodo.15121422
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message: If you use this software, please cite our article in the
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Journal of Open Source Software.
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preferred-citation:
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authors:
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- family-names: Janssen
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given-names: Jan
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orcid: "https://orcid.org/0000-0001-9948-7119"
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- family-names: Taylor
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given-names: Michael Gilbert
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orcid: "https://orcid.org/0000-0003-4327-2746"
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- family-names: Yang
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given-names: Ping
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orcid: "https://orcid.org/0000-0003-4726-2860"
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- family-names: Neugebauer
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given-names: Joerg
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orcid: "https://orcid.org/0000-0002-7903-2472"
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- family-names: Perez
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given-names: Danny
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orcid: "https://orcid.org/0000-0003-3028-5249"
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date-published: 2025-04-01
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doi: 10.21105/joss.07782
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issn: 2475-9066
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issue: 108
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journal: Journal of Open Source Software
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publisher:
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name: Open Journals
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start: 7782
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title: Executorlib -- Up-scaling Python workflows for hierarchical
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heterogenous high-performance computing
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type: article
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url: "https://joss.theoj.org/papers/10.21105/joss.07782"
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volume: 10
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title: Executorlib -- Up-scaling Python workflows for hierarchical
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heterogenous high-performance computing

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