دورية أكاديمية

oreo: An R package for large amplitude oscillatory analysis

التفاصيل البيبلوغرافية
العنوان: oreo: An R package for large amplitude oscillatory analysis
المؤلفون: Giorgio Luciano, Serena Berretta, Kristian Hovde Liland, Gavin J. Donley, Simon A. Rogers
المصدر: SoftwareX, Vol 15, Iss , Pp 100769- (2021)
بيانات النشر: Elsevier, 2021.
سنة النشر: 2021
المجموعة: LCC:Computer software
مصطلحات موضوعية: LAOS (large amplitude oscillatory shear), Rheology, Viscoelastic materials, Computer software, QA76.75-76.765
الوصف: Specialized software designed to analyze nonlinear rheological data from large amplitude oscillatory shear tests is not widespread. Instances that exist that are open source are typically based on proprietary meta-languages. The availability of a package in the R environment can help researchers to rely on a Free Open Source Software reproducible work flow. In this context, we have developed the package oreo which is able to analyze data from rheometry measurements using the Sequence of Physical Processes (SPP) framework that allows both the linear and non-linear deformation regimes to be understood withing a single unified framework.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2352-7110
Relation: http://www.sciencedirect.com/science/article/pii/S235271102100087X; https://doaj.org/toc/2352-7110
DOI: 10.1016/j.softx.2021.100769
URL الوصول: https://doaj.org/article/9d84d01b5fac4509a5eabde91c2d49dd
رقم الأكسشن: edsdoj.9d84d01b5fac4509a5eabde91c2d49dd
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23527110
DOI:10.1016/j.softx.2021.100769