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Materials Cloud, a platform for open computational science

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References

2015AiiDA: automated interactive infrastructure and database for computational science602 cited
2014The top 100 papers510 cited
2018Why Jupyter is data scientists’ computational notebook of choice354 cited
2020AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance345 cited

Cited by

2020Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows166 cited
2020AiiDAlab – an ecosystem for developing, executing, and sharing scientific workflows86 cited
2022Linking scientific instruments and computation: Patterns, technologies, and experiences46 cited
2024AlabOS: a Python-based reconfigurable workflow management framework for autonomous laboratories34 cited
2024Open computational materials science7 cited

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