Author Archives: Aditya Lele

Reaction and Barrier Energy for C+C -> CC on a Fe 100 surface

Abstract

This post calculates the reaction energy and reaction barrier height for C-atom coupling on a Fe 100 surface. It also assesses the effect of using more atomic layers in the energy calculations.

Introduction

Iron is an attractive heterogeneous catalyst used in processes, such as N2 hydrogenation and CO hydrogenation along with the flame synthesis of CNTs. An important class of reactions in these processes is the C1 +C1 coupling with double-carbon species (C2) being produced (C1 +C1 -> C2)[1].  In this post, spin-polarized density functional theory calculations are performed to characterize the energetics of C+C -> CC reaction on the Fe (100) surface using the Vienna Ab initio Simulation Package (VASP)[2,3]. Along with the calculation of the reaction energy and barrier energy for the reaction, the effect of the number of layers in the slab on the energy calculations is also assessed here. 

Methodology 

The plane wave DFT calculations are used to evaluate the reaction energy as well as the barrier for the C+C -> CC reaction on Fe 100 surface. A 3×3 Fe 100 surface is used for these calculations with 4, 6, and 8 atomic layers (see Fig. 1). All the calculations are performed using the Vienna Ab initio Simulation Package (VASP)[2,3].  The projector augmented wave (PAW) [4] method is used for core-valence treatment. The exchange and correlation energies are calculated using the Perdew, Burke, and Ernzerhof (PBE) [5] functional described within the generalized gradient approximation (GGA) [6]. Electronic convergence tolerance of 1E-05 is used for all the calculations. The core electrons are treated using pseudo-potential with a core radius of 2.3 Bohrs (1.22 Angstrom) generated with a panel of 8 valence electrons ( 3d6 4s2). All the calculations are performed as spin-polarized calculations. 

Cut-off Energy and K-Point Optimization

Fig. 1: A 3×3 Fe 100 surface with 4 layers. 

The essential step before performing a plane-wave basis set calculation is to optimize the k-points and cut-off energy. This process is performed as follows:

K-point  

Table 1: K-point grid vs the number of K-points used

K-point gridK-points used
3x3x15
4x4x18
5x5x113
6x6x118
7x7x125
8x8x132

The numerically determined optimal lattice parameter for Fe bcc crystal structure is 2.835 Angstrom which agrees reasonably with the experimental value of 2.856 Angstrom[7]. The K-point optimization is performed at this lattice parameter with a 3×3 Fe (100) surface with 4 atomic layers containing 36 Fe atoms in the slab (see Fig 1).

Fig.2 k-point convergence. The Y-axis is the energy difference between successive calculations. The red line represents the convergence criteria.

Fig.2  shows the absolute change in the consecutive total energy (|ΔE|) with respect to the number of irreducible k-points. The corresponding K-point grid is shown in Table 1. As a convergence criterion, |ΔE| less than 0.003 eV is used for the K-point convergence. This corresponds to the optimal grid of 7x7x1. 

Cut-off energy 

 

Fig.3 Cut-off energy convergence. The Y-axis is the energy difference between successive calculations. The red line represents the convergence criteria.

In Fig. 3, the absolute change in the consecutive total energy (|ΔE|) is plotted as a function of the cut-off energy. As a convergence criterion, it is assumed that the total energy is converged if |ΔE| is less than 0.003 eV. From Figs. 3 and 4it is clear that the cut-off energy of 550 eV sufficientA lattice parameter of 2.835 Angstrom and K-point grid of 7x7x1 is used for this convergence. 

Reaction Energetics

The most stable adsorption sites for atomic carbon as well as carbon dimer are determined using the same slab to determine the reaction energy. Table 2 lists the relative energies for these structures.

Table 2: Relative Energies for different C and CC adsorption sites on Fe 100 surface

C-adsorptionTopBridgeHollowCC-adsorptionVerticalHorizontal
Relative Energy (eV) 2.91.90.01.20.0

To locate the transition state, a series of 4 linearly interpolated images were formed between the reactant and the product state. The nudged elastic band method (NEB) [8] is used to locate the transition state. Once an approximate transition state is obtained, it is further refined using the climbing image nudged elastic band method (CI-NEB) [9]. The intermediate state is assumed to reach the transition state when the tangential force on the highest energy image is less than 0.05 eV/Angstrom. Vibrational frequency calculations are then performed using IBRION = 5 in VASP to confirm that the single imaginary frequency is obtained along the reaction pathway.

Results

Figure 4: The reaction energetics of C + C -> CC on Fe 100 surface and its comparison with values from Yin et al.[1]. The grey colored spheres represent carbon atoms and the orange-colored ones represent iron atoms.

Fig. 4 shows the comparison of reaction energetics with the reference study. The differences are of the order of 0.1 eV. The reference study employs a 4×4, 4 layer slab for the same. Considering this difference, we can say that both the works agree fairly well with each other. The reaction investigated has a forward barrier of the order of 2 eV. It should be noted that there hasn’t been any experimental observation of the CC dimer up to the best of the author’s knowledge. However, many ab-initio studies[1] propose this as an important intermediate during hydrocarbon interactions with Fe.

Additionally, similar calculations are also performed with 6 and 8 atomic layers to asses the effect of the number of layers on the reaction energetics. Table 3 lists the reaction energies as well as barrier heights for the different number of slabs. It shows that the effect of including twice the atomic layers results in the change of energies within 0.1 eV at the cost of a significant increase in the computation time. In theory, including more number of layers would make the system closer to the real conditions. However, the energy difference between 6 and 8 layer reaction calculations is already 0.03 eV, which is just ~2% of the reaction energy. It can be concluded that for similar calculations, using 4 atomic layers should be sufficient to be within ~10% of the converged energy value with respect to the number of layers if the energies follow a similar trend as shown here. However, it should be noted that more calculations are required to confirm this conclusion with even more atomic layers, which is beyond the scope of this post.

Table 3: Reaction energies and barrier heights for C+C -> CC reaction on Fe 100 surface with different number of atomic layers in the slab.

Number of layersReaction energy (eV)Barrier Energy (eV)
41.632.14
61.692.19
81.722.22

Conclusions

In this post, the reaction energy and barrier are calculated for the C + C -> CC reaction on a Fe 100 surface. The transition state calculations performed using the CI-NEB[8] method implemented in VASP[2,3] shows a good agreement with the literature study[1]. The post also investigates the effect of including more atomic layers in the energy calculations. It can be concluded that adding more atomic layers for such calculations should be carefully decided based on the desired accuracy and available computational power.

 

References

[1] Yin, J., He, Y., Liu, X., Zhou, X., Huo, C.F., Guo, W., Peng, Q., Yang, Y., Jiao, H., Li, Y.W. and Wen, X.D., 2019. Visiting CH4 formation and C1+ C1 couplings to tune CH4 selectivity on Fe surfaces. Journal of Catalysis, 372, pp.217-225.

[2] G. Kresse, J. Furthmuller, Efficiency of ab-initio total-energy calculations for metals and semiconductors using a plane-wave basis set, Comput. Mater. Sci., 6 (1996) 15-50.

[3] G. Kresse, J. Furthmuller, Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set, Phys. Rev. B, 54 (1996) 11169-11186.

[4] G. Kresse, D. Joubert, From ultrasoft pseudopotentials to the projector augmented-wave method, Phys. Rev. B, 59 (1999) 1758-1775.

[5] J.P. Perdew, K. Burke, M. Ernzerhof, Generalized gradient approximation made simple, Phys. Rev. Lett., 77 (1996) 3865-3868.

[6] J.P. Perdew, J.A. Chevary, S.H. Vosko, K.A. Jackson, M.R. Pederson, D.J. Singh, C. Fiolhais, Atoms, Molecules, Solids, And Surfaces – Applications of the Generalized Gradient Approximation for Exchange and Correlation, Phys. Rev. B, 46 (1992) 6671-6687.

[7] Greenwood, Norman Neill, and Alan Earnshaw. Chemistry of the Elements. Elsevier, 2012.

[8] G. Henkelman, H. Jónsson, Improved tangent estimate in the nudged elastic band method for finding minimum energy paths and saddle points, The Journal of Chemical Physics, 113 (2000) 9978-9985.

[9]  G. Henkelman, B.P. Uberuaga, H. Jónsson, A climbing image nudged elastic band method for finding saddle points and minimum energy paths, The Journal of Chemical Physics, 113 (2000) 9901-9904.

Hydrogen adsorption on Fe(100) surface

Introduction

The interaction of hydrogen with transition-metal surfaces is of great importance in heterogeneous catalysis, metallurgy, energy storage, and fuel cell technology [1]. One can find differing studies in the literature regarding the preferred adsorption site of atomic hydrogen. Periodic DFT-GGA calculations by Eder et al. [1] suggested that H-atom favors the 2-fold bridge site on Fe(100), and the 4-fold hollow site is slightly higher in energy. Whereas, the study by Jiang and Carter [2] concludes that the fourfold-hollow site is the most stable while both the 2-fold bridge and the 4-fold hollow sites are true minima. In this post, spin-polarized density functional theory calculations are performed to characterize the atomic hydrogen (H) adsorption on the Fe (100) surface using the Vienna Ab initio Simulation Package (VASP).

Methodology 

We use the plane wave DFT calculations to evaluate the adsorption energy of atomic hydrogen on the Fe (100) surface on the bridge, hollow and on the top site as shown in Fig.1. All the calculations are performed using the Vienna Ab initio Simulation Package (VASP). The exchange and correlation energies were calculated using the PBE functional described within the projector augmented wave method (PAW). Electronic convergence tolerance of 1E-05 was used for all the calculations. The core electrons were treated using pseudo-potential with a core radius of 2.3 Bohrs (1.22 Angstrom) generated with a panel of 8 valence electrons ( 3d6 4s2). All the calculations are performed with the spin-polarized calculations. 

Fig. 1 H adsorption sites shown on the Fe (1 0 0) 3×3 cell

Cut-off Energy and K-Point Optimization 

The essential step before performing a plane-wave basis set calculation is to optimize the k-points and cut-off energy. This process is performed as follows:

K-point  

The numerically determined optimal lattice parameter for Fe bcc crystal structure is 2.835 Angstrom which agrees reasonably with the experimental value of 2.856 Angstrom [3]. The K-point optimization is performed at this lattice parameter with a 2×2 Fe (100) surface with 5 atomic layers containing 20 Fe atoms in the slab.

Table 1: K-point grid vs the number of K-points used

K-point gridK-points used
3x3x15
4x4x18
5x5x113
6x6x118
7x7x125
8x8x132

Fig.2  shows the absolute change in the consecutive total energy (|ΔE|) with respect to the number of irreducible k-points. The corresponding K-point grid is shown in Table 1. As a convergence criterion of |ΔE| less than 0.002 eV is used for the K-point convergence. This corresponds to the optimal grid of 7x7x1. 

Cut-off energy 

In Fig. 3, the absolute change in the consecutive total energy (|ΔE|) is plotted as a function of the cut-off energy. As a convergence criterion, it is assumed that the total energy is converged if |ΔE| is less than 0.005 eV. From Figs. 3 and 4it is clear that the cut-off energy of 600 eV sufficient considering both the functionals. A lattice parameter of 2.835 Angstrom and K-point grid of 7x7x1 is used for this convergence. 

H adsorption energy 

As mentioned earlier a 5 atomic layer 2×2 Fe (100) slab with a 10 Angstrom vacuum layer containing  20 Fe-atoms is constructed (see Fig.1). Later, the H-atom is placed on several probable surface sites and a geometry optimization is performed for 0.25 ML coverage. The adsorption energy of the H-atoms is calculated as per the following expression

Eadsorption, H-atom = EFe-H – EFe – 0.5EH2

Based on the K-point and cut off energy convergence study, cut-off energy of 600 eV and a K-point grid of 7x7x1 is employed in these calculations.  

Results

Table 2 The adsorption energies of H-atom on a Fe (100) surface in eV.

SiteTopBridgeHollow
Current+0.217-0.382-0.327
Eder et al. [1]+0.17-0.36-0.35
Jiang and Carter [2]+0.23-0.32-0.38

Table. 2 shows the adsorption energy for the different sites on a Fe (100) surface. It also contains data from the references cited earlier. The current calculations match quite well with the literature data. The current calculations predict that the hollow site is energetically favored for H-atom adsorption. Additionally, calculations with more number of layers of Fe are also performed to assess its effect on the adsorption energy. Table. 3 lists the adsorption energies for different Fe layers for all the sites. The typical differences converge to within 0.01 eV or 2-5% of the adsorption energy value for 9 layers. 

Table 3 The adsorption energies of H-atom on a Fe (100) surface with different atomic layers.

SiteTopBridgeHollow
5 layers+0.217-0.382-0.327
7 layers+0.200-0.395-0.339
9 layers +0.197-0.390-0.347
11 layers+0.194-0.389-0.355

Conclusions

This post investigates the preferred adsorption site of H-atom on the Fe (100) surface using DFT calculations. The calculations show consistent results with the previous theoretical studies. The results of current calculations predict that the hollow site to be slightly favorable compared to the bridge site for H-atom adsorption. The calculations also demonstrate the effect of using a bigger metal slab for the calculations. The adsorption energy change becomes less than 0.01 eV from 9 layers onwards.

 

References

  1. Eder, M.; Terakura, K.; Hafner, J. Phys. ReV. B 2002, 64, 115426
  2. Jiang, D. E., and Emily A. Carter. “Diffusion of interstitial hydrogen into and through bcc Fe from first principles.” Physical Review B 70.6 (2004): 064102.
  3. Greenwood, Norman Neill, and Alan Earnshaw. Chemistry of the Elements. Elsevier, 2012.

Optimal lattice parameter determination of Fe bcc structure using the generalized gradient approximations with PBE and PW91 functionals

Introduction

Iron (Fe) is known to have a bcc crystal structure at temperatures lower than 1100 K [1]. Its optimal lattice parameters for this structure are derived using Density-Functional Theory (DFT) methods. The Cambridge Serial Total Energy Package (CASTEP) software package, which uses plane-wave basis sets in order to analyze crystal structures, is implemented to analyze the bcc lattices of Fe to determine the optimal parameters. Two functionals in the generalized gradient approximations, PBE and PW91, are used to derive these parameters. The PBE and PW91 functionals are expected to produce virtually identical results [2]. A comparison between the results obtained from these functionals is made along with the computational costs associated with both of them.  

Methodology 

We use the plane wave DFT calculations to evaluate the optimal lattice parameter for Fe bcc crystal structure. All the calculations were performed using the CASTEP Simulation Package in Material Studio. The exchange and correlation energies were calculated using the PBE and the PW 91 functional described within the generalized gradient approximation (GGA). Electronic convergence tolerance of 2E-06 was used for all the calculations. The core electrons were treated using “on the fly” generated (OTFG) ultra-soft pseudo-potential with a core radius of 2.4 Bohrs (1.27 Angstrom) generated with a panel of 8 valence electrons ( 3d6 4s2). All the calculations are performed with the spin-polarized option ON as Fe is a magnetic element. 

Cut-off Energy and K-Point Optimization 

The essential step before performing a plane-wave basis set is to optimize the k-points and cut-off energy. This process is performed with both the functionals. 

K-point  

Fig.1 K-point convergence for PW91 functional. The Y-axis is the energy difference between successive calculations. The red line represents the convergence criteria.

Fig. 2 K-point convergence for PBE functional. The Y-axis is the energy difference between successive calculations. The red line represents the convergence criteria.

The experimentally determined optimal lattice parameter for Fe bcc crystal structure is 2.856 Angstrom [1]. However, it is more appropriate to perform k-point optimization on the lowest lattice dimension being investigated. As the smallest lattice parameter in real space gives the longest parameter in k-space. Hence the K-point optimization is performed at the lattice parameter of 2.3 Angstrom. A very high cut-off energy value is selected here 500 eV to avoid its effects on k-point optimization.

Table 1: K-point grid vs the number of K-points used

K-point gridK-points used
3x3x34
4x4x46
5x5x510
6x6x614
7x7x720
8x8x826
9x9x935
10x10x1044
12x12x1268
15x15x15120

Figs.1 and 2 show the absolute change in the consecutive total energy (|ΔE|) with respect to the number of irreducible k-points. The corresponding K-point grid is shown in Table 1. As a convergence criterion of |ΔE| less than 0.04 eV is used for both the functionals. This corresponds to the optimal grid of 9x9x9. 

Cut-off energy 

Fig. 3 Cut-off energy convergence for PW91 functional. The Y-axis is the energy difference between successive calculations. The red line represents the convergence criteria.

Fig. 4 Cut-off energy convergence for PBE functional. The Y-axis is the energy difference between successive calculations. The red line represents the convergence criteria.

In Figs. 3 and 4, the absolute change in the consecutive total energy (|ΔE|) is plotted as a function of the cut-off energy. As a convergence criterion, it is assumed that the total energy is converged if |ΔE| is less than 0.03 eV. From Figs. 3 and 4it is clear that the cut-off energy of 400 eV sufficient considering both the functionals. A lattice parameter of 2.856 Angstrom and K-point grid of 9x9x9 is used for this convergence. 

Fe lattice optimization 

To optimize the Fe bcc lattice parameter, the crystal structure energy is calculated for the bcc geometry while changing the lattice parameters from 2.3 to 3.5 angstrom with an interval of 0.1 Angstrom. Based on the K-point and cut off energy convergence study, cut-off energy of 400 eV and a K-point grid of 9x9x9 is employed in these calculations.  

Results

 

Fig. 5 shows the lattice parameter optimization. A curve is fitted to the DFT data to get an estimate of the energy minima with respect to the lattice parameter. A polynomial fit of order 4 is used for this purpose for data ranging from lattice parameter 2.6 to 3. Table 2 compares the optimum lattice parameters calculated using both the functionals. Both the functionals give optimum lattice parameter values close to the experimental data. There is hardly any difference between the values determined by both functionals. Table 2 shows the time required for calculations using both the functionals, which is not much different. 

Table 2: Results of calculations

PropertyExperimental optimum lattice parameterDFT optimum lattice parameter (PBE) in AngstromDFT optimum lattice parameter (PW91) in AngstromTotal time for calculations (PBE) in sTotal time for calculations (PW91) in s
Value2.8562.8112.79961.8259.42

Conclusions 

Density Functional Theory-based calculations are used to ascertain the lattice parameters of the Fe bcc crystal. It is determined by varying the lattice parameters and calculating their respective energies. The optimized lattice parameters obtained are reasonably coherent with the experimental results. A comparative study of the PBE and the PW91 functionals is also performed. It shows that both the functionals give very similar results while using similar computational time although PBE is a simplification of PW91 functional [2]. 

References

  1. Greenwood, Norman Neill, and Alan Earnshaw. Chemistry of the Elements. Elsevier, 2012.
  2. Mattsson, Ann E., et al. “Nonequivalence of the generalized gradient approximations PBE and PW91.” Physical Review B 73.19 (2006): 195123.