Lorena A. Barba group


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New Report: Reproducibility and Replicability in Science

Prof. Barba is a co-author of the National Academies study report on "Reproducibility and Replicability in Science." The National Academies of Science, Engineering and Medicine (NASEM) carried out this study on commission from the National Science Foundation, with additional sponsorship from the Sloan Foundation. This report presents the consensus of the committee and is the result... Continue »

Open Source Software Policy Options for NASA Earth and Space Sciences

Prof. Barba is a co-author of the National Academies study report "Open Source Software Policy Options for NASA Earth and Space Sciences," presented to NASA on Sept. 21, 2018. The report is outcome from several in-person meetings, dozens of submitted white papers, and months of collaborative writing. The set of recommendations issued by the committee are... Continue »

The hard road to reproducibility

by Lorena A. Barba Science 07 Oct 2016: Vol. 354, Issue 6308, pp. 142 DOI: 10.1126/science.354.6308.142 Early in my Ph.D. studies, my supervisor assigned me the task of running computer code written by a previous student who was graduated and gone. It was hell. I had to sort through many different versions of the code,... Continue »

Reproducible and replicable CFD: it's harder than you think

Reproducible and replicable CFD: it's harder than you think. Submitted: 13 May 2016. Preprint arXiv:1605.04339 Accepted: 13 Oct. 2016, Computing in Science and Engineering. Published: 17 Aug. 2017. Overview We do our best to accomplish reproducible research and have for years worked to improve our practices to achieve this goal. Barba made a pledge in 2012, the... Continue »

Submitted: Inexact Krylov iterations and relaxation strategies with fast-multipole boundary element method

sketch of quadrature-points clustering on boundary element method

Submitted: 19 June 2015   This paper presents a method to algorithmically accelerate boundary element methods. The fast multipole method (FMM) is already used in this context to obtain O(N) computational complexity while solving a dense linear system. Using relaxed-accuracy matrix-vector multiplications in a Krylov solver, we can achieve speed-ups in the order of 4x... Continue »

Probing protein orientation near charged surfaces

First version submitted: 31 March 2015. Submission of split papers: June 7 & June 12. Accepted: 4 Sept. & 26 Dec. 2015.   UPDATE: The material in the original manuscript was split in two papers, submitted to different peer-reviewed journals. The editorial decision on the first submission was that the paper was out of scope... Continue »