scholarly journals DiffCapAnalyzer: A Python Package for Quantitative Analysis of Total Differential Capacity Data

2020 ◽  
Vol 5 (54) ◽  
pp. 2624
Author(s):  
Nicole Thompson ◽  
Theodore Cohen ◽  
Sarah Alamdari ◽  
Chih-Wei Hsu ◽  
Grant Williamson ◽  
...  
2017 ◽  
Vol 139 ◽  
pp. 320-329 ◽  
Author(s):  
Joshua Stuckner ◽  
Katherine Frei ◽  
Ian McCue ◽  
Michael J. Demkowicz ◽  
Mitsuhiro Murayama

On the model of the electrical double layer previously proposed by the author, equations are derived for the differential capacity of the metal/electrolyte interface in the presence of organic molecules. It is shown that the equations apply even when ions are specifically adsorbed. A method of calculating the amount of adsorption of the organic species from differential capacity data is outlined and applied to published results for thiourea at the mercury aqueous sodium fluoride interface. It is shown that the results are in good agreement with thermodynamic data. From the calculated adsorption d a ta it is shown that thiourea obeys a virial equation of state but that lateral electrostatic forces are probably negligible except at high coverage. The free energy of adsorption as a function of charge has been evaluated and shown to consist of an electrostatic term and a chemical term which decreases as the electron density of the mercury surface decreases.


2004 ◽  
Vol 565 (2) ◽  
pp. 243-250 ◽  
Author(s):  
Antonı́n Trojánek ◽  
Alexandr Lhotský ◽  
Vladimı́r Mareček ◽  
Zdeněk Samec

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Bogumił M. Konopka ◽  
Marta Marciniak ◽  
Witold Dyrka

Author(s):  
J.P. Fallon ◽  
P.J. Gregory ◽  
C.J. Taylor

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.


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