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Article

Experimental, Monte Carlo and Molecular Dynamic Study on Corrosion Inhibition of Mild Steel by Pyridine Derivatives in Aqueous Perchloric Acid

by
Avni Berisha
1,2
1
Department of Chemistry, Faculty of Natural and Mathematics Science, University of Prishtina, 10000 Prishtina, Kosovo
2
Materials Science—Nanochemistry Research Group, NanoAlb—Unit of Albanian Nanoscience and Nanotechnology, 1000 Tirana, Albania
Electrochem 2020, 1(2), 188-199; https://doi.org/10.3390/electrochem1020013
Submission received: 10 April 2020 / Revised: 17 May 2020 / Accepted: 21 May 2020 / Published: 1 June 2020
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Abstract

:
The corrosion of mild steel in aqueous perchloric acid solution was studied in the presence and absence of four different pyridine derivatives. Electrochemical measurements point out that these molecules inhibit the corrosion of mild steel by acting as mixed inhibitors. The adsorbed molecules act as a barrier that prevents the oxidation of the metal and the hydrogen evolution reaction at the mild steel surface. Molecular insights vis-à-vis the corrosion process were acquired by the use of Density Functional Theory (DFT), Molecular Dynamics, and Monte Carlo calculations. Monte Carlo and Molecular Dynamic simulation were used to understand at the molecular level the adsorption ability of the studied molecules onto Fe(110) surface. The experimental results and theoretical calculations provided important support for the understanding of the corrosion inhibition mechanism expressed by the pyridine molecules.

1. Introduction

Undoubtedly, steel is the most widely used material in construction and elsewhere. Although this material has optimal mechanic characteristics, like many other industrial metals it is prone to corrosion. In general, the use of strong acids in the industry is commonly found in different applications, such as in surface cleaning of metals, descaling, oil well acidizing, etc.
The protection of mild steel can be accomplished either by using classic corrosion inhibitors, spontaneous chemical surface modification methods such as SAM’s (Self-Assembled Monolayers) formed from silanes [1,2], phosphonic acids [3], or electrochemical reduction of aryldiazonium salts [4,5].
In order to prevent or decrease the corrosion of mild steel (MS), the most widely applied method is likely the use of a corrosion inhibitor—molecules, that in relatively low concentrations, decrease the corrosion of the metals. Many of the inhibitors are molecules that contain heteroatoms and other specific groups that are susceptible to the surface adsorption onto the metal [6,7,8,9,10,11,12]. The expressed inhibition efficiency of a particular inhibitor is dependent on many parameters, such as the composition of the corrosion media, pH value, temperature, contact time, chemical nature of the inhibitor, surface type, etc. [7,8,9,10,11,12,13,14,15,16,17,18,19]. To better understand the corrosion process apart from the use of experimental measurements, theoretical calculations were shown to be of great importance as they give molecular-level information for a better understanding of this process [6,7,8,9,10,11,19,20,21,22,23,24,25,26].
In the past two decades, there has been a growth in the number of studies that use theoretical methods based on quantum and molecular mechanics to gain molecular insights into the inhibitor interaction at the metal surface. These methods are able to pinpoint not only the adsorption mechanism of the inhibitor onto a metal surface (through the analysis of the electron exchange among both entities) [18,27], but also how the corrosion species penetrates through the inhibitor films formed onto the metal [12,28].
Pyridine, pyridine derivatives, and pyridine functionalized nanomaterials have shown their potential in their use as a potential means for reducing the corrosion of metals [18,29,30]. El-Maksoud et al. investigated the pyridine compounds [(2Z)-3-imino-4-methyl-2-(pyridin-3-ylhydrazono)pentanenitrile; 4-(3,4-dichlorophenyl)-2,6-dimethyl-1,2-dihydropyridine-3,5-dicarbonitrile] at the concentration of 1 × 10−4 M and achieved an inhibition efficiency of ≈70% [30]. The inhibition efficiency up 98.3% for Pyridine-2-thiol and 2-Pyridyl disulfide on the corrosion inhibition of MS using electrochemical measurements were reported by Kosari et al. [31]. Pyridoxol hydrochloride at a concentration of 1.0 × 10−2 M exhibited an inhibition efficiency of ≈72% [32].
In this study, the pyridine and three aminopyridine derivatives were studied at the molecular level using theoretical calculations based on both quantum and molecular mechanics to better understand the corrosion inhibition process.

2. Materials and Methods

The MS electrode (chemical composition: Fe99.5494%, C 0.1252%, P 0.0316%, Mn 0.1831%, Si 0.0561%, Cr 0.0124%, S 0.0282%, Mo 0.0125%, and Ni 0.0015%) was prepared by inserting a MS wire (d = 0.02 cm, l = 1 cm) into a Teflon® tube and filling with an epoxy resin [6]. Before its use, the electrode was polished on SiC rough paper, then on a cloth (DP-Nap) wetted with an Al2O3 (0.3 μm particle size) suspension. After this procedure, the electrode was rinsed with a copious amount of water and sonicated in water.

2.1. Electrochemical Measurements

A PalmSens3 potentiostat was used along with a three-electrode glass cell (with a total volume of 25 cm3) at 298 K. A graphite rod (d = 0.03 cm, l = 4 cm) served as an auxiliary electrode, and the saturated calomel electrode (SCE) as a reference electrode. Tafel curves were obtained by scanning the electrode potential vs. EOCP using a 1 mVs−1 scan rate. The measurements were performed in atmospheric conditions.

2.2. DFT Calculations

DFT calculations were completed using the Dmol3 code. For geometry optimization, the double numerical plus polarization basis set (DNP) [33] was used in combination with the Perdew–Burke–Ernzerhof (PBE) functional within the Generalized Gradient Approximation (GGA) [34,35]. The dispersion energy in the DFT calculations was included by the Tkatchenko and Scheffler method [36]. The solvent (H2O) was incorporated via the COnductor-like Screening MOdel (COSMO) [37,38].

2.3. Monte Carlo and Molecular Dynamic Simulation Details

For Monte Carlo (MC) and Molecular Dynamic (MD) simulation, the interaction of the iron surface and inhibitor molecules (pyridine and aminopyridine derivatives) in the simulated corrosion media was performed via the Fe(110) model (with periodic boundary condition) with the size of 22.341 Å × 22.341 Å × 10.270 Å with the inclusion of a 35 Å vacuum layer at C axis inclosing 400 water molecules/1 inhibitor molecule/15 hydronium + 15 perchlorate ions. The temperature cycling in MC calculations was varied successively from 105 to 102 K during the 10 applied cycles (of 1500 steps), after which the lowest possible energy configurations were obtained at decreased temperatures. Before the MD, the simulation system was optimized until the energy met the 10−4 kcal/mol value. MD was conducted using a Constant volume/constant temperature (NVT) at 298 K, with a 1 fs time step and a simulation time of 500 ps [8,10,16,17,18,19,20]. The Berendsen thermostat [10] was used for temperature control. A COMPASSII force field [39], one of the most used forcefields in corrosion studies, was used for the simulations [8,14,16,17,18,20]. The Radial Distribution Function (RDF) analysis included the whole trajectory [16,17,19].
As the experimental determination of thin inhibitor film formation at the interface of corroding metals is rather difficult [27], the film density of the inhibitors was determined using PBC (Periodic Boundary Conditions) by applying MD steps, as presented in Figure 1 (from STEP III).

3. Results

3.1. Electrochemical Measurements

The Tafel graph of the MS electrode in 0.1 M HClO4 are shown in Figure 2, in the absence and presence of pyridine inhibitors at 1 × 10−3 M concentration at 298 K. The inhibition efficiency (IE (%)) was calculated as follows [6,18]:
IE % = I c o r r ( 0 ) − I c o r r ( i n h ) I c o r r ( 0 ) × 100 ,
where Icorr(0) is the corrosion current in the absence of the inhibitor, and Icorr(inh) is the corrosion current in the presence of corrosion inhibitor.
It is visible from the Tafel plots that the adsorption of the pyridine molecules, molecules on top of the MS surface, decreases the corrosion current in this aggressive media. Depending on the used inhibitor (Table 1), the corrosion inhibition efficiency ranges from 27.56% (pyridine) up to 68.38% (2-amino-3-benzyloxypyridine). These inhibitors act as mixed corrosion inhibitor types. Their inhibition efficiencies are interrelated to the presence of different substituents on the pyridine ring that affects their electron distribution and hence their adsorption ability onto the MS surface.

3.2. DFT

The geometry of the HOMO and LUMO orbitals are recognized as key factors for assessing the reactivity of a molecule and the progression of chemical reactions [19]. The possible electron-donating areas of the molecule are portrayed by HOMO distribution, whereas LUMO indicates the areas with a high tendency to accept electrons from nucleophilic species.
The Highest Occupied Molecular Orbital (HOMO) and Lowest Unoccupied Molecular Orbital (LUMO) and Molecular Electrostatic Potential (MEP) of the studied corrosion inhibitors are presented in Figure 3, and numerous DFT indices are given in Table 2. The MO’s picture revealed that in the studied inhibitors, HOMO was primarily distributed over their pyridine ring with partial distribution on the substituent side.
The LUMO distribution had some differences in pyridine ring and was absent in the substituent part (amino groups, chlorine atoms, or benzyloxy ring). The relatively high values of HOMO for the molecules were a measure of the inhibitors and reflect their aptitude for interacting with the iron surface, by electron-donation and acceptance in like manner. This is promoted by their relatively small electron affinity and high ionization potential values, thus endorsing a comparable order of electron exchange capacity.
Likewise, high values of σ and relatively low values of η were also anticipated values to support that these molecules were very reactive species and have an adsorptive tendency when they neighbor metal surfaces. The fraction of transferred electrons (∆N) in the inhibitors (ranging from 0.0095 to 2.0448 depending on their chemical structure) reveals the solid ability of these inhibitors for electron donation to the metal surface [9,20,23,25].
Mulliken atomic charges (MAC) were demonstrated as a valuable parameter for the designation of the accountable sites (atoms) of the inhibitors that were prone to adsorption onto the metals. The interaction between Fe(110) and the inhibitor molecules was frequently taken to favorably occur on the atom with a large negative charge [19,21,22,25]. The MAC value for the inhibitors is presented in Figure 4, where the highest negative charge on all of the inhibitor molecules are located on nitrogen atoms (and also on O for the 2-amino-3-benzyloxypyridine molecule), denoting that these centers have the largest electron density and interact with the Fe(110). This electron density is visible also in Figure 3 in the visualized electrostatic potential (MEP) for the pyridine molecules.

3.3. Monte Carlo and Molecular Dynamic Simulations

The interaction of the inhibitor onto the MS gives the means to evaluate the adsorption energetics of this process. Quantitatively, this is achieved by using the following equation [9,11,24,25,26]:
E a d s o r p t i o n = E F e ( 110 ) / i n h i b i t o r   − ( F e ( 110 ) + E i n h i b i t o r ) ,
where E F e ( 110 ) / i n h i b i t o r is the total energy of the simulated corrosion system, and EFe and Einh are the total calculated energy of the Fe(110) surface and that of the free inhibitor molecule, respectively.
Figure 5 presented the lowest energy configurations of pyridine compounds on the MS in the simulated corrosion media. The pyridine inhibitors were absorbed in the flat-lying manner on the Fe(110) surface.
As directed by Mulliken charges, the flat-lying adsorption geometries suggest that this process was supported mostly through nitrogen atoms. This adsorption behavior led to the creation of the protective corrosion layer on the Fe(110) [8,9,10,11,20,21,23,26].
The distribution of the adsorption energies for the large number of adsorptive configurations produced and calculated by the Monte Carlo method for the pyridine inhibitors is shown in Figure 6. The Adsorption Energy (Eads) onto Fe(110) surface values for the adsorption of the inhibitors are as follows: Eads for Pyridine is in a range from –18.35 to –57.30 kcal/mol (maximum value of Eads is –55.25 kcal/mol); for the 2-amino-5-chloropyridine, Eads is in a range from –52.55 to –83.45 kcal/mol (maximum value of Eads is –78.75 kcal/mol); for the 2-amino-3,5-dichloropyridine, the Eads is in a range from –57.45 to –95.05 kcal/mol (maximum value of Eads is –89.45 kcal/mol); and for the 2-amino-3-benzyloxypyridine, Eads is in a range from –65.25 to –137.85 kcal/mol (maximum value of Eads is –93.05 kcal/mol). These relatively high adsorption energies point toward a strong interaction of the inhibitors onto the MS surface, leading to efficient corrosion protection of iron.
From Figure 5, it is evident that the pyridine compounds adsorb effectively on the MS surface. The molecules are oriented toward the iron surface in the position that allows them maximum contact with nitrogen atoms (as suggested by Mulliken charges). This conclusion is supported also by the analysis of the Radial Distribution Function (RDF) calculated for the atoms of the Fe(110) surface presented in Figure 7. The RDF has proven to be a useful means for the evaluation of the interaction of inhibitors with the surface [15].
In general, when in the RDF graph, the peak appears in the distance from 1 to 3.5 Å from the metal surface, it corresponds to chemisorption; while in the case of physisorption, the appearance of the RDF peaks is at greater distance values than 3.5 Å [9,10,11,20,21]. The RDF of N for all of the studied inhibitors had a smaller value than 3.5 Å. The results obtained from MD and corresponding RDF analysis confirmed once again (coherent with experimental results and MC calculations) the strong tendency of the inhibitors to adsorb and protect the metal, due to its greater tendency to provide electrons to and receive electrons from the metal surface [7,9,21,24,26].

3.4. Adsorption and Corrosion Inhibition Mechanism of the Pyridine Compounds

The corrosion inhibition expressed by an inhibitor was determined principally on their adsorptive affinity on the metal/solution interface that leads to the formation of a protective film onto the metal, preventing its surface exposure toward the corrosion media [40,41].
From the obtained experimental and theoretical results, we propose the adsorption mechanism presented in Figure 8. The pyridine inhibitors were chemically adsorbed onto the MS surface by donor/acceptor interaction amongst free electron pairs of heteroatoms (N, O, and Cl) and the vacant d-orbital of the MS surface. An important factor on the adsorption was the donor/acceptor interaction among the anti-bonding molecular orbitals of pyridine inhibitors and the d-orbitals of iron atoms of the surface [40].

3.5. The Study of the Film Density and the Self-Diffusion Coefficients of Inhibitors

After the 1000 ps of MD (Step III of Figure 1), the density values of the pyridine formed films were obtained, and the average density values are presented in Table 3.
The fractional free volume (FFV) of the inhibitor films were evaluated from the (step IV) free and the occupied volumes of the Connolly surface using the following equation [12,42]:
F F V = V f r e e V f r e e + V o c c u p i e d ,
where Vfree is the free volume and Voccupied is the occupied volume of the PBC box containing the inhibitor film.
The determination of the self-diffusion coefficient (SDC) is calculated by [12]:
D = 1 6 lim t → ∞ d d t ∑ i = 1 N α 〈 ( r i ( t ) − r i ( 0 ) ) 2 〉   ,
where the 〈(ri(t) − ri(0))2〉 is the mean squared displacement values obtained from MD trajectory.
The FFV of the corrosive perchlorate ions was calculated and is shown with other parameters in Table 4.
At the interface of the formed inhibitor film, a parameter that influences the mobility of corrosive ions (hydronium and perchlorate ions) is the mobility of the inhibitors. The film-forming inhibitor molecules interact and are displaced in the corrosive solution through the van der Waals force and Coulomb force, thereby changing the volume and the shape of the cavities in the film [12,43]. This influences the mobility of corrosive ions into the film. A high mobility film indicates a larger diffusion coefficient for the corrosive species. The SDC was proposed to measure the mobility of the inhibitor film. From Table 4, the values of the self-diffusion coefficients for the inhibitors are in the range of 1.92 to 3.73 × 10−5 cm2/s. These values depend on the equilibrium between the molecule flexibility and their ability to interact with surrounding neighboring molecules. The more pronounced effects, in this case, are observed following the order: B > C > D > A. This observation suggests better packing of the pyridine molecules. In the case of other derivatives, although the addition of substituents seems to affect their close packing, this increases the interactions among them. Therefore, in comparison to pyridine, they possess lower values of the self-diffusion coefficient. The reflection of the inhibition performance of an inhibitor molecule is a complex process and is accumulative of many combined effects (volume of the molecule, adsorption ability, adsorption energy, the FFV of the film, the mobility of the film-forming molecules, the interaction of the corrosive species with the film, etc.).
Higher FFV implies that the inhibitor film could afford more or superior voids for the corrosive ion to move through the inhibitor film. Therefore, the high FFV meant a large diffusion coefficient. The largest FFV values indicate a larger space (voids) for the transfer of corrosive species toward the corrosion film. The FFV values follow the order: C > B > D > A. These values correlate to the increase in the SDC of the corresponding film-forming pyridines.

4. Conclusions

The inhibition efficiency of several pyridine derivatives was explored experimentally and theoretically (using DFT, MC, and MD). Electrochemical measurements evidenced a relatively robust inhibition performance of these molecules toward MS corrosion in perchlorate acid. These experimental results were rationalized by theoretical methods. DFT calculations were able to put in evidence the responsible adsorption centers of the inhibitors. Moreover, the MC and MD calculations revealed the strong adsorption interaction of pyridine inhibitors towards the iron surface, offering molecular details vis-à-vis the adsorption behavior (geometry) and the adsorption energy of these molecules on the iron surface. The presented theoretical results (DFT, MC, and MD) are in agreement with the experimental ones.

Funding

This research received no external funding.

Acknowledgments

A.B. acknowledges the support from the Ministry of Education, Science and Technology of Kosovo (Nr.2-5069).

Conflicts of Interest

The author declares no conflict of interest.

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Electrochem 01 00013 g001 550
Figure 1. Steps used for the calculation of inhibitor film density, fractional free volume (FFV), and self-diffusion coefficients for the studied pyridine inhibitors.
Figure 1. Steps used for the calculation of inhibitor film density, fractional free volume (FFV), and self-diffusion coefficients for the studied pyridine inhibitors.
Electrochem 01 00013 g001
Electrochem 01 00013 g002 550
Figure 2. Tafel plot of the mild steel (MS) electrode measured in HClO4 solution (V = 20 cm3, c = 0.1 M) in the absence and the presence of 5 × 10−2 M of the corresponding pyridine inhibitors.
Figure 2. Tafel plot of the mild steel (MS) electrode measured in HClO4 solution (V = 20 cm3, c = 0.1 M) in the absence and the presence of 5 × 10−2 M of the corresponding pyridine inhibitors.
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Electrochem 01 00013 g003 550
Figure 3. Optimized structure, HOMO, LUMO surfaces, and MEP for (a) pyridine, (b) 2-amino-5-chloropyridine, (c) 2-amino-3,5-dichloropyridine, and (d) 2-amino-3-benzyloxypyridine.
Figure 3. Optimized structure, HOMO, LUMO surfaces, and MEP for (a) pyridine, (b) 2-amino-5-chloropyridine, (c) 2-amino-3,5-dichloropyridine, and (d) 2-amino-3-benzyloxypyridine.
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Electrochem 01 00013 g004 550
Figure 4. The optimized inhibitor structures: (a) pyridine, (b) 2-amino-5-chloropyridine, (c) 2-amino-3,5-dichloropyridine, and (d) 2-amino-3-benzyloxypyridine, with the highest values of the Mulliken atomic charges (MAC).
Figure 4. The optimized inhibitor structures: (a) pyridine, (b) 2-amino-5-chloropyridine, (c) 2-amino-3,5-dichloropyridine, and (d) 2-amino-3-benzyloxypyridine, with the highest values of the Mulliken atomic charges (MAC).
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Figure 5. MD poses of the lowest adsorption configurations for the pyridine inhibitors: (a) pyridine, (b) 2-amino-5-chloropyridine, (c) 2-amino-3,5-dichloropyridine, and (d) 2-amino-3-benzyloxypyridine in the simulated corrosion media on the Fe(110) substrate.
Figure 5. MD poses of the lowest adsorption configurations for the pyridine inhibitors: (a) pyridine, (b) 2-amino-5-chloropyridine, (c) 2-amino-3,5-dichloropyridine, and (d) 2-amino-3-benzyloxypyridine in the simulated corrosion media on the Fe(110) substrate.
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Figure 6. Distribution of adsorption energies for pyridine inhibitors onto the Fe(110) surface.
Figure 6. Distribution of adsorption energies for pyridine inhibitors onto the Fe(110) surface.
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Figure 7. Radial Distribution Function (RDF) of pyridine ring N atom for different pyridine compounds on the Fe(110) surface obtained from MD trajectory analysis.
Figure 7. Radial Distribution Function (RDF) of pyridine ring N atom for different pyridine compounds on the Fe(110) surface obtained from MD trajectory analysis.
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Figure 8. Representation of adsorption of one of the pyridine derivatives on MS surface.
Figure 8. Representation of adsorption of one of the pyridine derivatives on MS surface.
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Table
Table 1. The inhibition efficiency (IE (%)) and the chemical structure of the pyridine inhibitors.
Table 1. The inhibition efficiency (IE (%)) and the chemical structure of the pyridine inhibitors.
Corrosion MediaChemical Structure of the InhibitorIE [%]
+ 0.05 M Pyridine Electrochem 01 00013 i00127.56
+ 0.05 M 2-amino-5-chloropyridine Electrochem 01 00013 i00268.38
+ 0.05 M 2-amino-3,5-dichloropyridine Electrochem 01 00013 i00352.14
+ 0.05 M 2-amino-3-benzyloxypyridine Electrochem 01 00013 i00442.45
Table
Table 2. The inhibition efficiency and the chemical structure of the pyridine inhibitors.
Table 2. The inhibition efficiency and the chemical structure of the pyridine inhibitors.
DescriptorsPyridine2-Amino-3-benzyloxypyridine 2-Amino-3,5-dichloropyridine2-Amino-5-chloropyridine
HOMO−6.5889−4.9650−5.4760−5.4980
LUMO−0.5481−1.4210−2.1320−2.0130
∆E(HOMO-LUMO)6.04083.54403.34403.4850
Ionization energy (I)6.58894.96505.47605.4980
Electron affinity (A)0.54811.42102.13202.0130
Electronegativity (Χ)3.56853.19303.80403.7555
Global hardness (η)3.02041.77201.67201.7425
Chemical potential (π)−3.5685−3.1930−3.8040−3.7555
Global softness (σ)0.33110.56430.59810.5739
Global electrophilicity (ω)2.10802.87684.32734.0470
Electrodonating (ω−) power4.26984.69486.43836.1426
Electroaccepting (ω+) power0.70131.50182.63432.3871
Net electrophilicity (∆ω+−)0.46711.28882.47902.2243
Fraction of transferred electrons (∆N)−0.05601.07420.95570.9310
Energy from Inhibitor to Metals (∆N)0.00952.04481.52731.5103
∆E back-donation−0.7551−0.4430−0.4180−0.4356
Table
Table 3. Parameters for corrosion thin-film model construction.
Table 3. Parameters for corrosion thin-film model construction.
Inhibitora = b = c
[Å]		α = β = γ
[°]		Density [g/cm3]Number of MoleculesNumber of Particles
Pyridine (A)18.56901.052501
2-amino-5-chloropyridine (B)20.33901.290501
2-Amino-3,5-dichloropyridine (C)21.09901.460501
2-Amino-3-benzyloxypyridine (D)24.61901.126501
Table
Table 4. The calculated values of FFV and self-diffusion coefficient of inhibitor molecules in the formed inhibitor films in the presence of perchlorate ion.
Table 4. The calculated values of FFV and self-diffusion coefficient of inhibitor molecules in the formed inhibitor films in the presence of perchlorate ion.
MoleculePyridine (A)2-Amino-5-chloropyridine (B)2-Amino-3,5-dichloropyridine (C)2-Amino-3-benzyloxypyridine (D)
(Self-diffusion coefficient) × 10−5 [cm2/s]1.9233.0732.6512.186
Free volume [Å3]1348.64198.186227.384758.87
Occupied volume [Å3]5521.556862.287751.3112,374.34
FFV0.1960.3800.4450.278

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Berisha, A. Experimental, Monte Carlo and Molecular Dynamic Study on Corrosion Inhibition of Mild Steel by Pyridine Derivatives in Aqueous Perchloric Acid. Electrochem 2020, 1, 188-199. https://doi.org/10.3390/electrochem1020013

AMA Style

Berisha A. Experimental, Monte Carlo and Molecular Dynamic Study on Corrosion Inhibition of Mild Steel by Pyridine Derivatives in Aqueous Perchloric Acid. Electrochem. 2020; 1(2):188-199. https://doi.org/10.3390/electrochem1020013

Chicago/Turabian Style

Berisha, Avni. 2020. "Experimental, Monte Carlo and Molecular Dynamic Study on Corrosion Inhibition of Mild Steel by Pyridine Derivatives in Aqueous Perchloric Acid" Electrochem 1, no. 2: 188-199. https://doi.org/10.3390/electrochem1020013

APA Style

Berisha, A. (2020). Experimental, Monte Carlo and Molecular Dynamic Study on Corrosion Inhibition of Mild Steel by Pyridine Derivatives in Aqueous Perchloric Acid. Electrochem, 1(2), 188-199. https://doi.org/10.3390/electrochem1020013

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