ebook img

Atomistic Modeling Of Co Growth On Cu(111] PDF

6 Pages·2002·6.2 MB·English
by  KhalilJoseph
Save to my drive
Quick download
Download
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.

Preview Atomistic Modeling Of Co Growth On Cu(111]

Mat. Res. SOC. Symp. Proc. Vol. 696 0 2002 Materials Research Society N9.3 Atomistic Modeling Of Co Growth On Cu(ll1) Joseph Khalil', Guillermo BOZZOIOD~a, niel Farias2, A.L. Vazquez de Parga2, J.J. de Miguel' and R. Miranda' ' Ohio Aerospace Institute, 22800 Cedar Point Road, Cleveland, OH 44142, USA and National Aeronautics and Space Administration, Glenn Research Center, Cleveland, OH, 44 135, USA * Departamento de Fisica de la Materia Condensada, Universidad Aut6noma de Madrid, Madrid, Spain. ABSTRACT The BFS method for alloys is applied to the study of Co growth on Cu( 1 1 1). The parameter- ization of the Co-Cu system is obtained from first-principles calculations, and tested against known experimental features for low coverage Co deposition on Cu(100) and Cu(lI1). Atomistic simulations are performed to investigate the behavior of Co on Cu(l11) as a function of coverage. INTRODUCTION Recent experimental analysis of Co growth on Cu( I1 I) has raised interesting questions regarding the low coverage regime and the identification of the driving mechanisms that lead to the observed structures. The understanding of such phenomena would allow for controlling the structure and morphology of the growing films to achieve the desired properties. Some of the observed features include triangular-shaped islands with a height of two layers above the surface, decoration of the Cu step edges with mixed Co and Cu clusters, and monatomic-deep pools of vacancies in the surface [I]. We present preliminary results of a modeling effort based on the BFS method for alloys [2], meant to elucidate the main characteristics of the early growth stages of Co films on Cu( 1 1 1). Analytical calculations for the determination of the surface structure are supplemented with temperature-dependent Monte Carlo simulations. After testing the validity of the BFS parameterization (done with first-principles methods) by reproducing basic known fea- tures of the system, the methodology is applied to the study of multi-layer islands, their shape, composition and orientation. THE BFS METHOD The BFS method [2] is based on the concept that the energy of formation of a given atomic configuration is the superposition of the individual atomic contributions AH =ZE;. Each contribution E; is the sum of two terms: a strain energy, E?, computed in the actual lattice as if every neighbor of the atom i was of the same atomic species i, and a chemical energy, E,: computed as if every neighbor of the atom i was in an equilibrium lattice site of a crystal of species i, but retaining its actual chemical identity. The computation of E,: using Equivalent Crystal Theory [3], involves three pure element properties for atoms of species i: cohesive energy, lattice parameter and bulk modulus. The chemical energy, E?, includes two BFS concentration-dependent perturbative parameters (AcOcua nd Acuc0) [2]. A reference chemical 265 Lattice Cohesive Bulk - parameter (A) energy (eV) modulus (GPa) p a (k’) 1 (A-’) k(A) . co 3.45803 5.56374 255.21 6 3.01887 0.26166 0.73527 cu 3.63255 3.55808 141.79 6 2.87 I72 0.27390 0.76966 energy, E?, is also included to insure a complete decoupling of structural and chemical features. c From the theoretical standpoint, the immiscibility of Co and Cu in the bulk presents a challenge, Table due to the lack of accurate experimental evidence that would help validate the parameterization betwec used. However, although these binary phases do not exist, their properties can be readily atom ; computed via first-principles methods. Therefore, in this work, all the necessary parameters were the COI determined using the linearized augmented plane wave method (LAPW) [4], by computing the in an equilibrium properties of Co and Cu in the fcc phase, as well as the equilibrium properties of surfacl overla Co3Cu (Llz), CoCu (Llo) and CoCu3 (LIZ)o rdered alloys. Moreover, this calculational scheme (co(s: enables an accurate determination of the concentration-dependence of the BFS parameters A. (co(s: The functions used in this work are given by ACdU(xc,,) = O.O45003ln(x~,,)- 0.047823 and and (e’ Ac,,c,,(x.c,,) = -0.2 10 1 13xc,, + 0.4 1035 1, where xc,, (sc,,)d enotes the fraction of nearest-neighbors of a given Cu (Co) atom that are Co (Cu) atoms. Finally, the strain and chemical energies are linked with a coupling function g, which ensures the correct volume dependence of the BFS chemical energy contribution. Therefore, the contribution of atom i to the energy of foiination of the system is given by E, = E?+ g,(E,c - E?) (1) Table I lists the necessary parameters for applying the BFS method to the Co-Cu system. The procedure used to determine the A(x) functions exceeds the scope of this paper and will be published elsewhere. We refer the reader to Ref. 2 for a detailed discussion of the BFS method, com] its definitions, operational equations and their implementation. relatl RESULTS AND DISCUSSION calci indic favo: Obtaining atomically sharp interfaces between different layers is one of the main problems to O( in the preparation of thin films or superlattices. Intermixing is a common phenomenon, even diffe between elements that are immiscible in the bulk. A typical example is shown in Fig. 1, where in an the STM image shows a Cu(l11) surface after growing 0.3 ML of Co at room temperature. A over. detailed study of the image reveals the presence of multilayer, mixed composition islands, with KO( two or more atomic layers over the Cu(l 11) surface [SI. It is also found that there are pools of ,, perfc single-atomic-depth vacancies between the islands, absent in clean Cu( 1 1 1) surfaces. Other cu tl remarkable features include the fact that the total volume of the islands exceeds the amount of I indic Co deposited, as well as evidence for the segregation of Cu to the island surface, as confirmed by detai ion scattering spectroscopy [6] and chemical titration [SI experiments. These features are -* the d highlighted in the inset in Fig.1, where an enlarged view of one of the islands clearly shows changes in the right side corners of the islands. STM experiments [7] also suggest that the on th islands include a subsurface Co layer. In addition, theoretical calculations using empirical to ex interatomic potentials indicate that two-dimensional Co islands become unstable above a certain exch critical size and “explode” upwards, dragging Cu atoms from the surface layer forming mixed- if it ( 2 4 266 CU( 100) Cu( I11 ) 0) 2.525 3.356 CO(S)C~(O)l 2.403 3.176 co(s)cu(o),. 2.359 3.08 1 hases of Co 2f. 2). Co( 1b ) 2.632 3.360 Co(2b) 2.646 3.415 :a1 features. c1 ic hallenge, Table II: BFS total energy difference (in eV) neterization between different configurations including a Co be readily atom and a Cu( 100) or a Cu( 11 1) substrate and neters were the corresponding clean surfaces: (a) a Co atom nputing the in an overlayer site (Co(O)), a Co atom in a surface site with the ejected Cu atom in ai roperties of overlayer site at (b) nearest-neighbor distance nal scheme (CO(S)CU(O)~or) (c) far from the Co(S) atom ‘ameters A. (CO(S)CU(O)~an~d, with the Co atom (d) one 147823 and and (e) two planes below the surface. t-neighbors nergies are 3f the BFS Figure I: A 50x50 nin STM image of 0.3 ML Co deposited at mnation of room temperature on Cu( 1 11). The islands that appear on the sur- face are 4.1 nm high over the Cu( 11 I) surface, corresponding to a double layer of Co. The inset shows an enlarged view of one of the islands, highlighting the fact that the composition of the islands is not homogeneous. The black hexagons correspond to Cu system. vacancy pools in the Cu surface. and will be FS method, composition islands several layers high [8]. From a modeling standpoint, the growth pattern of Co on Cu with increasing Co coverage is related to the ability of Co to interdiffuse in the Cu substrate. A simple atom-by-atom BFS calculation of several configurations including one Co atom deposited on a Cu( 1 1 1) substrate indicates that an exchange mechanism by which Co atoms substitute for Cu surface atoms is favored. The calculation also shows that a lower energy state is reached if the Cu atom is allowed n problems to occupy an overlayer site away from the inserted Co atom (Co(S)).T able 2 lists the energy enon, even differences between a pure Cu( 100) or Cu( 1 1 1) substrate and a state where (a) the Co atom stays g. 1, where in an overlayer site (Co(O)), (b) Co replaces a Cu surface atom which stays in a nearest-neighbor perature. A overlayer site (CO(S)CU(O)I()c, ) far from the inserted Co atom (Co(S)Cu(O)& (d) in the first lands, with (Co(1b)) and (e) in the second (Co(2b)) layer below the surface. The noticeable energy gain in re pools of performing the exchange from Co(0) to Co(S)Cu(O) is a result of the lower surface energy of ices. Other Cu than that of Co. For both surfaces, the Co(S)Cu(O)f is the configuration with lowest energy amount of indicating that, in principle, Co atoms would not interdiffuse beyond the surface plane. A more nfirmed by detailed discussion concerning the different BFS energy contributions and their consequences in zatures are 8, the deposition of Co on Cu will be presented elsewhere. arly shows Beyond the simple case of one adatom, Monte Carlo simulations provide useful information :st that the on the resulting behavior for higher coverages. In these simulations, dissimilar atoms are allowed ; empirical to exchange sites at nearest-neighbor distance, as long as the Metropolis criterion is met, i.e., the de a certain exchange is accepted if it lowers the energy of the cell or it is accepted with a certain probability ing mixed- if it does not benefit the energy balance of the system. An indicative example is shown in Fig. 2 4 w hich displays the final state of a Monte Carlo simulation. Unless otherwise noted, all 261 A;----,sim,u$la?tio ns where performed at room temperature in a rigid Cu lattice. In all cases it is observed that the ejected Cu 4.- . >, / atoms diffuse on the surface layer, forming clusters. The overlayer is denoted by a rectangle above the surface layer. Clearly, the difference in coordination between the (1 00) and (1 11) surfaces is small enough to ensure that the same ;s behavior is to be expected for a Cu( 1 1 1) surface, as shown ~ i; in Fig. 2.b. With increasing Co coverage, the simulations show \' that Co atoms form patches in the surface and lb layers (Fig. 3.a-c). The formation of Co aggregates is expected, due to the immiscibility of Co and Cu. The interdiffusion to subsurface (1b ) layers, however, deserves further study. Fig Figure 2: Final state of 4 Co atoms These patches, with high surface energy, act as pinning Cal (black spheres) in a Cu (a) (100) and sites for the Cu islands (Fig. 3.d), leading to the formation cor (b) (11 1) surface, at T = 300 K. of bi-layer Co/Cu islands with one of the layers immersed in the substrate surface layer. It should be noted, however, that the process of Co diffusion on the surface and insertion in the surface layer is greatly bet! enhanced with increasing temperature, as shown in Figs. 3.e-f, which repeat the results shown in ma: Figs. 3.c-d for T = 1 K, where Co insertion in the surface layer competes with the formation of B F: shapeless Co/Cu patches in the overlayer. Moreover, it is precisely the diffusion of Cu atoms that along the edges of the forming Co/Cu islands that determines their triangular form, as seen in not Fig. 4, where an initial state characterized by a Co/Cu island of undetermined shape evolves into a CI nearly triangular islands. all0 The small difference in energy between Co(S) and Co( 1b ) substitutions, indicated in Table 2 con for the case of one single Co atom, facilitates the interdiffusion of Co atoms in the substrate, lay( unless alternative mechanisms are allowed that identify other energetically favored processes. wit1 Experimental results, usually available for high Co coverage. suggest the presence of bi-layer layc islands (i.e., two layers above the surface) which, naturally, should be preceded by the formation layc of single-layer islands. As long as atoms are allowed to populate only the first overlayer, the resulting islands adopt a triangular form where Co atoms cluster in the center of the island, surrounded by a Cu brim, as shown in Fig. 5. In general, the Co core also adopts a triangular form, inverted with respect to the overall island shape, thus maximizing the exposed Cu surface and therefore minimizing the surface energy of the island. x ML 5OI Figure 3: Final state of Monte Carlo simulations of a Cu(ll1) surface with (a) 0.056, (b) 0.083. (c) 0.167, and (d) 0.250 ML Co coverage. In every case, the initial state is given by similar cells where Co atoms are randomly dispersed on the Cu substrate. All simulations were performed at T = 300K. except (e) and (t) where T = 1K. 268 ire in a rigid : ejected Cu lusters. The urface layer. :n the (100) iat the same I :e, as shown ations show J id lb layers is expected, rdiffusion to :r study. Figure 4: Initial and final states of a Monte Figure 5: Final state of room temperature Monte Carlo :t as pinning Carlo simulation at room temperature, simulations ofa Cu( 1 11) surface with (a) 0.069, (b) 0.194, and le formation corresponding to 0.25 ML Co coverage. (c) 0.313 ML Co coverage. 111 every case. the initial state is given by similar cells with Co islands. -s immersed 'd, however, However, this is not the lowest energy configuration. A calculation showing the competition :r is greatly between single- and bi-layer (on the Cu(ll1) surface layer) islands shows that there is a Its shown in maximum island size beyond which the growth of a second layer is favored. Fig. 6 shows the 'ormation of BFS formation energies of single- and bi-layer islands with the same number of atoms. It is seen tf Cu atoms that while the BFS chemical energy favors the bi-layer island, regardless of size, there is a I, as seen in noticeable gain in strain energy that drives the transition from single- to bi-layer growth beyond evolves into a certain island size. The Monte Carlo procedure used in the preceding simulations does not allow for the growth of a second layer above the surface, as exchanges of pairs of atoms are d in Table 2 considered one at a time. However, creating an initial state with some Co atoms on the second le substrate, layer suffices to trigger the corresponding process. Allowing the Monte Carlo simulations to deal 3 processes. with the growth of a second layer on the Co/Cu islands leads to a similar mixed composition : of bi-layer layer at the expense of the subsurface Co, thus leading to tri-layer Co/Cu islands where the first le formation layer is immersed in the Cu substrate. As observed in the single layer case, the simulations show ierlayer, the ' the island, a triangular 1 Cu surface *=e- - - - -;i *=E&. . _ - ((I, JIII 5 0 011 (I, Island Size (# of Co atoms) Figure 6: BFS total, chemical and strain Figure 7: Final state of room temperature simulations of a energies for different I- and 2-layer island\ with varying i~lands ize. Single- (bi-) layer Cu( 11 1) surface with (a) 0.299, (b) 0.396, and (c) 0.507 ML Co coverage. In every case, the initial state consists of Co 0.167, aid (d) islands are denoted with Tolid (dot-dashed) islands. are randomly lines. 1K. '= 269 that each layer in the bi-layer islands is of mixed composi- tion, with Co in the center of the island, once again exposing as much Cu as possible (Le., inverted Co triangles), as indicated in Fig. 7. At this point, it is clear that the critical size or, correspondingly, the critical Co:Cu ratio in the composition of the island can be reached if additional sources of Cu atoms - besides those replaced by Co insertions in the surface layer - are available. Fig. 8 shows the initial and final states of a simulation where additional Cu atoms were initially randomly distributed on the Cu( 1 11 ) surface, thus simulating the possibility of Cu atoms (decoupled from nearby vacancy pools, as seen in Fig. 1) diffusing along the surface. This additional amount of Cu clearly optimizes the energy balance of the resulting island, drastically inhibiting Co interdiffusion to Figure 8: Initial and final states of a subsurface layers, thus achieving a final shape and room temperature simulation of a structure consistent with experiment. Cu(ll1) surface with 0.17 ML Co coverage. CONCLUSIONS The basic features of the process of island formation in the deposition of Co on Cu( 11 1) were described within the framework of a simple modeling approach based on the BFS method for alloys: 1) intermixing of Co with the Cu( 1 1 1) substrate, 2) formation of a Co surface layer on which mixed composition shgle- and bi-layer islands form, 3) evidence for a triangular island shape, 4) the existence of a critical island size, establishing the transition from a single- to a bi- layer growth pattern, 5) details on the distribution of Co and Cu atoms in the different layers, both in composition and location of the different atoms, and 6) hints on the temperature dependence of the above mentioned processes. The BFS analysis of the energetics of the system allows for the identification of competing driving mechanisms for the observed behavior. ACKNOWLEDGMENTS Fruitful discussions with N. Bozzolo are gratefully acknowledged. This work was supported by the HOTPC project at NASA Glenn Research Center, and by the European Community under grant HPRN-CT-2000-00134. REFERENCES 1. J. de la Figuera, J.E. Prieto, C. Oca1 and R. Miranda, Surf. Sci. 307-309 (1994) 538. 2. G. Bozzolo, R.D. Noebe, J. Ferrante and C. Amador, J. Coinput.-Aided Mater. Design 6 (1999) 1. 3. J. R. Smith, T. Perry, A. Banerjea, J. Ferranre and G. Bozzolo, Phys. Rev. B 44 (1991) 6444; G. Bozzolo, J. Ferrante and A. M. Rodriguez, J. Computer-Aided Mater. Design 1 (1993) 285. 4. P. Blaha, K. Schwartz and J. Luitz, WIEN97, Vienna Universiry of Technology. Improved and updared Unix version of the copyrighted WIEN code, P. Blaha, P. Schwartz, P. Sorantin and S B Trickey, Comput. Phys. Commun. 59 (1990) 399. 5. J. de la Figuera, J. E. Prieto, C. Oca1 and R. Miranda, Phys. Rev. B 47 (1993) 13043; Surf. Sci. 349 (1996) L139. 6. A. Rate, N. Memmel, A. Steltenpohl and T. Fauster, Phys. Rev. Lett. 73 (1994) 2728. 7. M. 0.P edersen, I. A. Bonicke, E. kgsgaard, I. Stensgaard, F. Besenbacher, A. Ruban, and J. K. N~rskov.S urf. Sci. 387 ( 1997) 86. 8. L. Gomez, C. Slutzky, J. Ferrh, J. de la Figuera, J. Camarero, A. L. Vizquez de Parga, J. J. de Miguel, and R. Miranda, Phys. Rev. Lett. 84 (2000) 4397. 270

See more

The list of books you might like

Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.