Reproducible validation and replication studies in nanoscale physics

Author:

Clementi N. C.1ORCID,Barba L. A.1ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering, The George Washington University, Washington DC, USA

Abstract

Credibility building activities in computational research include verification and validation, reproducibility and replication, and uncertainty quantification. Though orthogonal to each other, they are related. This paper presents validation and replication studies in electromagnetic excitations on nanoscale structures, where the quantity of interest is the wavelength at which resonance peaks occur. The study uses the open-source software PyGBe : a boundary element solver with treecode acceleration and GPU capability. We replicate a result by Rockstuhl et al. (2005, doi:10/dsxw9d) with a two-dimensional boundary element method on silicon carbide (SiC) particles, despite differences in our method. The second replication case from Ellis et al. (2016, doi:10/f83zcb) looks at aspect ratio effects on high-order modes of localized surface phonon-polariton nanostructures. The results partially replicate: the wavenumber position of some modes match, but for other modes they differ. With virtually no information about the original simulations, explaining the discrepancies is not possible. A comparison with experiments that measured polarized reflectance of SiC nano pillars provides a validation case. The wavenumber of the dominant mode and two more do match, but differences remain in other minor modes. Results in this paper were produced with strict reproducibility practices, and we share reproducibility packages for all, including input files, execution scripts, secondary data, post-processing code and plotting scripts, and the figures (deposited in Zenodo). In view of the many challenges faced, we propose that reproducible practices make replication and validation more feasible. This article is part of the theme issue ‘Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico ’.

Funder

National Science Foundation

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Reference28 articles.

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2. Science in the Age of Computer Simulation

3. Barba LA. 2018 Terminologies for reproducible research. Preprint on (http://arxiv.org/abs/1802.03311) February.

4. National Academies of Sciences Engineering and Medicine. Reproducibility and Replicability in Science . The National Academies Press Washington DC May 2019. doi:c5jp.

5. Moraila G Shankaran A Shi Z Warren AM. 2014 Measuring reproducibility in computer systems research. Technical Report 37 Department of Computer Science University of Arizona. Available online at http://reproducibility.cs.arizona.edu/v1/tr.pdf.

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1. The State of Play of Reproducibility in Statistics: An Empirical Analysis;The American Statistician;2022-10-31

2. Reliability and reproducibility in computational science: implementing validation, verification and uncertainty quantification in silico;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2021-03-29

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