Thermal analysis consists of a wide range of methodologies that can be applied to assess the composition and properties of materials. This paper describes the basic features of a new package for the R software named takos for simulating and analysing calorimetric data sets. The package can simulate data via the Sesta Berggren (SB), Johnson-Mehl-Avrami (JMA) and other common kinetic models used in solid state kinetics (power law, one dimensional diffusion, Mampel, Avrami-Erofeev, three dimensional diffusion, contracting sphere, contracting cylinder, and two-dimensional diffusion). The methodologies included in order to determine the kinetic triplet are the Avrami, Friedman, Kissinger, Ozawa, Ozawa-Flynn and Wall (OFW), Mo, Starink and Vyazovkin methodology (Vyazovkin). The package is under constant development, being improved and extended with new functionalities, as well as being continually tested on real-life data, the analyses of which are peer-reviewed during their respective publication processes. (C) 2020 The Author(s). Published by Elsevier B.V.
Luciano, G., Liland, K.h., Marsotto, M., Svoboda, R., Berretta, S. (2020). takos: An R package for thermal analysis calculations. SOFTWAREX, 12 [10.1016/j.softx.2020.100637].
takos: An R package for thermal analysis calculations
Marsotto, M.;
2020-01-01
Abstract
Thermal analysis consists of a wide range of methodologies that can be applied to assess the composition and properties of materials. This paper describes the basic features of a new package for the R software named takos for simulating and analysing calorimetric data sets. The package can simulate data via the Sesta Berggren (SB), Johnson-Mehl-Avrami (JMA) and other common kinetic models used in solid state kinetics (power law, one dimensional diffusion, Mampel, Avrami-Erofeev, three dimensional diffusion, contracting sphere, contracting cylinder, and two-dimensional diffusion). The methodologies included in order to determine the kinetic triplet are the Avrami, Friedman, Kissinger, Ozawa, Ozawa-Flynn and Wall (OFW), Mo, Starink and Vyazovkin methodology (Vyazovkin). The package is under constant development, being improved and extended with new functionalities, as well as being continually tested on real-life data, the analyses of which are peer-reviewed during their respective publication processes. (C) 2020 The Author(s). Published by Elsevier B.V.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.