Reproducible validation and replication studies in nanoscale physics
Reproducible validation and replication studies in nanoscale physics
复制标题
纳米物理中的可重复验证和复制研究
DOI:
10.1098/rsta.2020.0068
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Barba, L. A.
中科院分区:
文献类型:
--
作者:
Clementi, N. C.;Barba, L. A.
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 softwarePyGBe: a boundary element solver with treecode acceleration and GPU capability. We replicate a result by Rockstuhlet 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 Elliset 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 quantificationin silico’.
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DOI:
10.21105/joss.00043
发表时间:
2016
期刊:
J. Open Source Softw.
影响因子:
--
作者:
C. D. Cooper;N. Clementi;G. Forsyth;L. Barba
通讯作者:
L. Barba
DOI:
10.6084/m9.figshare.104539.v1
发表时间:
2012
期刊:
J. Open Source Softw.
影响因子:
--
作者:
A. BarbaLorena
通讯作者:
A. BarbaLorena
影响因子:
2.1
作者:
M. A. Otte;B. Sepúlveda
通讯作者:
B. Sepúlveda
DOI:
10.21105/joss.00306
发表时间:
2017
期刊:
J. Open Source Softw.
影响因子:
--
作者:
N. Clementi;G. Forsyth;C. D. Cooper;L. Barba
通讯作者:
L. Barba
影响因子:
2.1
作者:
Barba, Lorena A.
通讯作者:
Barba, Lorena A.