Simplex Algorithm for Deep-Level Transient Spectroscopy: Simplex-DLTS

Benchenane-Mehor, Halima; Benzohra, M.; Idrissi-Benzohra, M.; Olivié, F.; Saïdane, A.

doi:10.1143/jjap.43.7376

Cited by 3 publications

(2 citation statements)

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“…The temporal analysis of the isotherm transient current I(t,T) leads us to consider the measured signal as sum of exponentials:

I (t, T) = I_{0} + \sum_{i = 1}^{n} I_{i} exp false(- \frac{t}{τ_{i}})

I 0 is an eventual constant and [I i , τ i ] are related to a i elementary Debye process. The Simplex method is used to fit our data with relationship (1). It has been used for optimising data of nonlinear functions of several variables.…”

Section: Experimental Partmentioning

confidence: 99%

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Relaxation Time at Glass Transition Temperature Measured by Simplex Thermo Stimulated Depolarisation Current

Bahous

Soufi

Meuret

et al. 2014

Macromolecular Symposia

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Summary: The aim of this work is to propose a reliable approach to estimate values of the relaxation time constant of polymers at the glass transition temperature. This approach consists of using a new thermo stimulated depolarisation current TSDC protocol which analyzes the relaxation current kinetics obtained after submitting the sample to an electrical field shock at constant temperature. The measurements have been performed on a series of polyethylene terephthalate (PET), polycarbonate (PC) and polyethylene terephthalate glycol (PETg) samples. Different temperatures were needed to explore the range of the glass transition domain of each polymer. The results compared to calorimetric and dielectric data show a good agreement. So we confirm that the value t ms ¼ 100 s often used for characterizing the molecular dynamic of the liquid glass former at T g is not universal.

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“…The temporal analysis of the isotherm transient current I(t,T) leads us to consider the measured signal as sum of exponentials:

I (t, T) = I_{0} + \sum_{i = 1}^{n} I_{i} exp false(- \frac{t}{τ_{i}})

Section: Experimental Partmentioning

confidence: 99%

“…The Simplex method [16] is used to fit our data with relationship (1). It has been used for optimising data of nonlinear functions of several variables.…”

mentioning

confidence: 99%