Lorena A. Barba group


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Computational nanoplasmonics in the quasistatic limit for biosensing applications

Preprint: arXiv 1812.10722 Dec. 31, 2018. Submitted: Dec. 31, 2018; Jan. 20, 2019; Mar. 20, 2019. Accepted: Nov. 1. Published: Dec. 16, 2019. DOI: 10.1103/PhysRevE.100.063305 Abstract This work uses the long-wavelength limit to compute LSPR response of biosensors, expanding the open-source PyGBe code to compute the extinction cross-section of metallic nanoparticles in the presence of any target... Continue »

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 »

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

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 “Reproducibility PI Manifesto,” according to which all our research... Continue »