alt="upper Delta upper E equals upper E Subscript upper L upper U upper M upper O Baseline minus upper E Subscript upper H upper O upper M upper O"/>
A large value of ΔE indicates low reactivity of molecules while a molecule with low value of ΔE can be strongly adsorbed on a metal surface.
3.2.2.3 Electronegativity (ɳ), Chemical Potential (μ), Hardness (η), and Softness (σ) Indices
Parameters such as ɳ, μ, η, and σ are defined as the derivatives of the total electronic energy (E) with respect to the number of electrons (N) at a constant external potential. The ɳ is defined as the negative value of μ. Within the framework of finite differences approaches, these parameters can be expressed in the form of ground‐state IP and ground‐state EA values of a chemical compound. The theoretical formulas can be expressed as [35]:
(3.6)
(3.7)
(3.8)
3.2.2.4 Electron‐Donating Power (ω−) and Electron‐Accepting Power (ω+)
The new parameters called ω− and ω+ were introduced by Gazquez et al. [36] to predict the propensity of chemical species to accept and to donate electrons. Also, these two parameters are related to IP and EA and are mathematically described via the following equations:
(3.9)
(3.10)
Based on these parameters, we can, again, shed light on the inhibition abilities of chemical compounds based on their ability to accept and receive electrons.
3.2.2.5 The Fraction of Electrons Transferred (ΔN)
For the prediction of ΔN, which reflects the tendency of an inhibitor molecule to transfer its electron to a metal surface, the hardness and electronegativity indices have been used. This parameter was computed according to Pearson as per the following equation [35]:
(3.11)
In this equation, ∅ is the work function calculated for metal surface and ηmetal means the global hardness of the metal.
The fraction of electrons transferred provides important insight into the adsorption process and the power of the interaction between the metal surface and inhibitor molecule. Consistent with the literature [37–39], an inhibitor can transfer its electron if ΔN > 0 and vice versa if ΔN < 0.
The application of these parameters in evaluating the adsorption and corrosion inhibition behavior of a large number of molecules is extensively reviewed in the following chapters.
3.2.2.6 Fukui Indices (FIs)
Fukui functions offer unique opportunities to increase the fundamental understanding of the local reactivity and selectivity of chemical species. In other words, Fukui function is a local reactivity index proposed to examine the nucleophilic and electrophilic attack regions of inhibitor molecules. In fact, from this important concept (FIs), we can pinpoint the reactive sites in which the electrophilic or nucleophilic attacks are large or small. As discussed above, HSAB theory provides an important contribution in the prediction and interpretation of many CQ parameters, and the judgment of Fukui functions is also an early attempt in this direction. It is necessary here to clarify exactly what is meant by Fukui function f(r). By definition, f(r) is a first derivative of 𝜌(r) with respect to number of electrons (N) at a constant external potential v(r).
(3.12)
In addition, FIs were identified with respect to hard or soft reagents by involving the HSAB principle. A simple approximation can be used with the aid of finite difference approximation and Mulliken's population analysis in which FIs were determined as per the following equations [40]:
(3.13)
(3.14)
(3.15)
where qk(N), qk(N + 1), and qk(N − 1) are charge values of neutral, anionic, and cationic forms of atom k, respectively.
3.3 Atomistic Simulations
Microscopic analyses are methods developed to serve as a basis for the investigation and simulation of physical phenomena on a molecular level. As these methods usually allow such a deep analysis, they became essential tools in generating and designing new functional materials. Macroscopic and microscopic characteristics of species constituting a simulation system, i.e. molecules and fine particles, are generated from analyzing the output of simulations.
Two well‐known atomistic simulation methods are MC and MD. The advantage of the MD method over the MC method is, besides its ability to analyze thermodynamic equilibrium, it can be used to investigate the dynamic properties of a system in a nonequilibrium state.