Lorena A. Barba group


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Expanding the role of HPC centres on training and collaboration for reproducibility


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DLs

Trustworthy computational evidence through transparency and reproducibility


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DLs

Reproducible validation and replication studies in nanoscale physics

Preprint: arXiv 2008.05414, 12 Aug 2020. Submitted: July 27, 2020. Accepted: September 23, 2020. Published online: 29/03/2021 Published in print: 17/05/2021 Philosophical Transactions of the Royal Society A, 379(2197):20200068 (March 2021). https://doi.org/10.1098/rsta.2020.0068 Theme issue: ‘Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico’ – compiled and edited by P. V. Coveney, D.... Continue »

How repro-packs can save your future-self

Natalia Clementi

The story of a bug-fix after the research paper was published. Back in December 2019 we published a paper along with its reproducibility packages. These repro-packs, as we call them, consist of all the files necessary to reproduce the results in our paper (data and plots) and we deposit them in Zenodo and Figshare archives... Continue »

Reproducibility and Replicability: The NASEM report and the praxis of reproducible research


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DLs

Reproducible workflow on a public cloud for computational fluid dynamics

Submitted: April 18, 2019. Preprint: arXiv 1904.07981 Revised: Aug. 22. Accepted: Sep. 4. Published: Sep. 17, 2019 DOI 10.1109/MCSE.2019.2941702 Abstract In a new effort to make our research transparent and reproducible by others, we developed a workflow to run and share computational studies on the public cloud Microsoft Azure. It uses Docker containers to create an... Continue »