Modeling of electrochemical properties of potential-induced defects in butane-thiol SAMs by using artificial neural network and impedance spectroscopy data

Belayadi, Adel; Mougari, Ahmed; Zabat, Mokhtar

doi:10.1007/s10008-018-4112-y

Cited by 18 publications

(6 citation statements)

References 40 publications

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“…According to the relation (20), the real part of the current tends to zero as soon as f is less than fmin, this corresponds in term of a dielectric time to a period T greater than (3 R Q) 1/n . The dielectric time t -the invert of fminevolves according to the value of n in (20). For n comprised between 0.66 and 0.95 this time is approached by:…”

Section: Theoretical Resultsmentioning

confidence: 99%

“…Some of our recent works show the quantification of gold electrodes modified by different types of thiols. [19][20][21] Changes at the double layer of the electrode surface are detectable at low frequencies, [18,22] this requires large stabilization time of the harmonic cycles; hence the choice of the frequencies defining the experimental low frequencies range is crucial. The spontanious adsorption of self-assembled monolayer's (SAM's) of alkanethiolates on gold electrode has been the subject of numerous reports.…”

Section: Introductionmentioning

confidence: 99%

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An Estimate of a Frequency Characterizing the Electrochemical Stability of a Gold Electrode Modified by MHDA Thiol in Different Ways

et al. 2021

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A theoretical investigation aimed at estimating a characteristic frequency in the medium-low frequency domain in which the impedance response of a given interface measured by electrochemical impedance spectroscopy (EIS) is almost constant, constitutes the basic idea of this work. A theoretical model was subsequently applied to the data resulting from EIS measurements performed on gold electrodes modified by various ways of 16-mercaptohexadecanoic acid (MHDA) thiol functionalization. Analysis of these data revealed a direct relationship between the way the substrate was modified and this characteristic frequency.

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Section: Theoretical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Estimate of a Frequency Characterizing the Electrochemical Stability of a Gold Electrode Modified by MHDA Thiol in Different Ways

et al. 2021

Self Cite

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“…This method has high accuracy in predicting thermal conductivity. Belayadi et al [44] studied the electrochemical impedance spectroscopy of potential-induced defects in self-assembled monolayer (SAM) CH3 (CH2) 3SH electrodeposited on the surface of single crystal gold rods, represented by Nyquist plots of impedance with real and imaginary parts (Z ', Z "). The predicted Nyquist plot calculated by ANN is close to the experimental value.…”

Section: Physical Datamentioning

confidence: 99%

Application Progress of Artificial Neural Network in Chemical Industry

Feng

Sun

2022

JERR

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The design and optimization of chemical equipment and devices and the control of chemical processes involve many factors and are very complex. The traditional methods and technologies cannot obtain satisfactory results. Artificial neural network technology has the ability to deal with complex objects and has been widely used in various engineering fields including chemical industry. In this paper, the research progress of artificial neural network in chemical industry is reviewed. The application progress of artificial neural network in signal peak recognition, catalyst optimization, industrial process, reaction process, physical data and other aspects is summarized. The advantages and limitations of artificial neural network in chemical industry are analyzed. Finally, the development trend of its application in chemical industry is prospected.

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“…At present, AI is playing a more and more important role in the field of scientific research. In terms of corrosion science research, the application of AI mainly focuses on corrosion protection materials and methods (Belayadi et al , 2019; Coşkun and Karahan, 2018; Feiler et al , 2020; Jafari et al , 2011; Jiménez-Come et al , 2012; Mousavifard et al , 2015; Wen et al , 2009; Zadeh Shirazi and Mohammadi, 2017), corrosion image recognition (Ahuja and Shukla, 2018; Hoang and Tran, 2019; Petricca et al , 2016; Tian et al , 2019; Yao et al , 2019) and corrosion life prediction (Al-Shehri, 2019; Alani and Faramarzi, 2014; Chae et al , 2020; Guzman Urbina and Aoyama, 2018; Zhi et al , 2020). Compared with traditional methods, AI shows unique advantages (Boucherit et al , 2022; Boucherit et al , 2019; Boucherit and Arbaoui, 2021).…”

Section: Introductionmentioning

confidence: 99%

Application of artificial intelligence (AI) in the area of corrosion protection

Lin

Zhang

et al. 2023

ACMM

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Purpose As a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research. Design/methodology/approach In this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction. Findings With efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs. Originality/value This paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.

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Modeling of electrochemical properties of potential-induced defects in butane-thiol SAMs by using artificial neural network and impedance spectroscopy data

Cited by 18 publications

References 40 publications

An Estimate of a Frequency Characterizing the Electrochemical Stability of a Gold Electrode Modified by MHDA Thiol in Different Ways

An Estimate of a Frequency Characterizing the Electrochemical Stability of a Gold Electrode Modified by MHDA Thiol in Different Ways

Application Progress of Artificial Neural Network in Chemical Industry

Application of artificial intelligence (AI) in the area of corrosion protection

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