dynamics simulation of cluster beam deposition (1 0 0) substrate

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Nuclear Instruments and Methods in Physics esearch B 160 (2000) 372±376 www.elsevier.nl/locate/nimb Molecular dynamics simulation of cluster beam Al deposition on Si (1 0 0) substrate H. Zhang, Z.N. Xia * Department of Materials Science and Engineering, Tsinghua University, Beijing 100084, People's epublic of China eceived 1 December 1998; received in revised form 2 August 1999 Abstract A molecular dynamics simulation to study thin lm properties and formation of Al cluster beam on a Si (1 0 0) substrate is presented. In this simulation, a new modi ed Lennard-Jones potential is used to describe the interaction between aluminum atoms. The migration of Al-atom clusters and the structure of grown lm have been studied as functions of substrate temperature and cluster energy. The migration distance of the Al cluster reaches maximum when the substrate temperature is 473 K. The crystalline of Al on the Si (1 0 0) substrate was obtained under room temperature depositing and subsequent 673 K annealing. Ó 2000 Elsevier Science B.V. All rights reserved. Keywords: Molecular dynamics simulation; Ionized cluster beams deposition; Thin lm; Migration distance; Aluminum; Silicon 1. Introduction Thin lm deposition assisted by ions beam has gained increasing interest because it enables tailoring of speci c material properties in a wide range and well-de ned manner. Ionized cluster beams (ICB) techniques for thin lm deposition were rst developed at Kyoto University in 1972. Subsequently several applications have been used in industry [1]. ecently, various thin- lm materials have been prepared by this method. These include semiconductors, metals, optical coatings, * Corresponding author. Tel.: +86-10-6278-5767; fax: +86-10-6277-1160. E-mail address: dmslyw@mail.tsinghua.edu.cn (Z.N. Xia). optoelectronic devices, magnetic materials, dielectrics for electronic devices, thermoelectric and organic materials. Since high quality thin lm can be obtained at relative low temperature and deposition parameters such as the kinetic energy of the ion cluster beam and the percentage of the ionized cluster can be controlled easily, it has become a promising lm growth technique. The use of single-crystal or epitaxial metal lms has been proposed in order to reduce the integration size threshold of VLSI circuits, and a lot of experimental and computational work of metal lms on Si substrate has been done [2±6]. The epitaxial growth of Al on Si (1 1 1) and Si (1 0 0) by ICB was investigated by Yamada et al. [7], molecular dynamics simulation of cluster beam deposition of thin lm was studied by Muller [8], and 0168-583X/00/$ - see front matter Ó 2000 Elsevier Science B.V. All rights reserved. PII: S 0 168-583X(99)00614-X

H. Zhang, Z.N. Xia / Nucl. Instr. and Meth. in Phys. es. B 160 (2000) 372±376 373 another molecular dynamics study on epitaxial growth of SiGe on Si (1 0 0) was also performed by Ethier and Lewis [9]. In this paper, Al ionized cluster beam depositing on Si (1 0 0) substrate is investigated by molecular dynamics simulation. The cluster migration distance under di erent conditions and Al thin lm structure on Si (1 0 0) substrate have been paid more attention. 2. The simulation model 2.1. Interactions potentials Many empirical potentials have been developed to describe the structural properties of silicon. Among them, the one proposed by Stillinger and Weber [10] has certainly been the most extensively used, so we chose this three body potential for the interaction between silicon atoms. In order to simplify the simulation procedure and reduce CPU time, we have employed two body Lennard-Jones potentials for Al±Si and Al± Al. The parameters for the mixed interactions of Al±Si were determined by the standard combination rules, i.e., arithmetic mean for lattice parameter, and geometric mean for energy well depth. In order to simulate the Al lm structure more accurately, having referred to the work of Ercolessi and Adams [11] we proposed a modi ed empirical Lennard-Jones potential for Al±Al, which can be expressed as follows: " 12 2:5479711 U ˆ4 0:368 2:5479711 # 6 ; < 3:4; a ˆ 0:7897537; b ˆ 7:1675137; c ˆ 21:053315; d ˆ 19:550741: The nal potential, shown in Fig. 1, was built by two traditional Lennard-Jones potentials that have potential minimax at 0.286 nm and 0.405 nm, respectively, and with a polynomial function as transition. All the parameters in Al±Al potential were calculated from thermodynamic data and the connection polynomial function was tted by cubic spline. 2.2. The simulation system The molecular dynamics simulation in this work is fully dynamical three-dimensional calculations. Our simulation system includes a Si (1 0 0) substrate with two immobile layers and four movable layers. The former models the underlying crystal at the bottom; the latter consists of two upper unscaled layers and two lower rescaled layers. In order to prevent the substrate temperature from rising too high during the metal atoms depositing, the velocities of the two lower layers are rescaled for every 10 time steps. A cube cell with dimensions 3.07 nm and consisting of 8 8 Si atoms per layer is used. The system is open along the positive z-axis and periodic boundary conditions are applied in the x±y plane. In our simulation, the Verlet algorithm was used to integrate Newton's equations of motion. The time step for a collection of substrate and deposited Al atoms is 5 fs which is smaller than the silicon-optical-phonon period of 0.0628 ps and is U ˆ4 0:368 3:8 < < 5:6; " 12 3:608 3:608 # 6 ; U ˆa 3 b 2 c d; 3:4 6 6 3:8; Fig. 1. The modi ed Lennard-Jones potential for Al.

374 H. Zhang, Z.N. Xia / Nucl. Instr. and Meth. in Phys. es. B 160 (2000) 372±376 also proper for the maximum cluster velocity. (Al) 20 clusters have a simple cube structure and their velocity has a range of 0.2±3 ev per atom and the substrate temperature varies from 300 to 673 K. In all cases, clusters were deposited every other 4 ps. 3. esults and discussion 3.1. Migration distance Adatom migration on the substrate is one of the most important mechanisms for the control of lm growth. The migration e ect helps the adatoms to interact with each other and to form stable nuclei. The energy of the cluster and the temperature of the substrate are the two main factors a ecting the migration distance. Di usion distance index, a mean distance from the initial position for every atom, is de ned as v u, u d t ˆt X N iˆ1 x i t x i 0 Š 2 y i t y i 0 Š 2 where x i (t) and y i (t) are the coordinates of the ith atoms in the cluster at time t, and x i (0) and y i (0) are the initial position of the ith atoms. The di usion distance index under di erent levels of cluster energy is shown in Fig. 2. The di usion distance increases with increasing of N; cluster energy and the adatoms reach equilibrium after 1 ps. The simulation shows that in order to obtain high quality thin lm, high cluster energy is necessary, and that the migration distance remarkably increases with increasing of cluster energy. Substrate temperature is another important factor that can dramatically a ect adatoms migration and the quality of thin lm. In this paper, we investigated the di usion distance index at di erent substrate temperatures. According to the work of Levenson et al. [12], we choose ve kinds of substrate temperature: 300, 373, 473, 573 and 673 K. Three clusters were used at each temperature and the mean migration distance was obtained after Al adatoms reached equilibrium, which means the di usion distance index was calculated after 2 ps. The result is shown in Fig. 3. Obviously, the migration distance increases with increasing of substrate temperature. However when the temperature reaches 473 K, the migration distance does not increase any longer. In fact, it decreases dramatically and reaches the minimum when the temperature is 673 K. In the study of anisotropic surface mobility of aluminum on Si (1 1 1) by Levenson et al. [12], it was found that the di usion distance is near maximum at a surface temperature of 200 C for both 0 and 3 kv acceleration. A similar phenomenon was found in our simulation. We think two factors have contributed to this result. First and foremost, the high substrate temperature makes Fig. 2. The di usion distance of the Al cluster under di erent cluster energy. The substrate temperature is 300 K, and the cluster energies were 0.2, 1, 2 and 3 ev/atom. Fig. 3. The di usion distance of Al cluster under di erent substrate temperatures. The cluster energy is 2 ev/atom, and the substrate temperature is 300, 373, 473, 573 and 673 K.

H. Zhang, Z.N. Xia / Nucl. Instr. and Meth. in Phys. es. B 160 (2000) 372±376 375 re-evaporation a high possibility. The migration distance increases with increasing substrate temperature until the higher kinetic energy of adatoms causes larger number of atoms to desorb. That means around 473 K there may be a balance point for absorbing and desorbing. Second, sole adatoms tend to re-evaporate more than those adatoms that interact with each other. So the farther the atoms migrate, the bigger the possibility of the re-evaporation. The result mentioned above indicates that high cluster energy and proper substrate temperature are bene cial for the high quality thin lm. But extremely high cluster energy can make the substrate defective and degrade the thin lm properties. performing an undisturbed molecular dynamics relaxation. The deposited thin lm is shown in Fig. 4 and part of it after annealing is shown in Fig. 5. The graph clearly indicates that compact Al thin lm can be obtained by ICBD at the room temperature, and that subsequent to 673 K annealing, part of Al thin lm can form Al (1 1 0) crystal on Si (1 0 0) substrate. The crystalline orientation of Al on Si (1 0 0) is shown in Fig. 6. 3.2. Thin lm structure According to the experiment of Yamada et al. [13], we have performed a deposition simulation of 15 Al clusters on a small system ± Si (1 0 0) 5 5 6 substrate at 300 K with 2 ev/atom. The time interval between two deposited clusters is 4 ps, and the whole system is annealed at 673 K after depositing. Before the deposition, we rst let the substrate attain thermodynamic equilibrium by Fig. 5. Part of thin lm structure in Fig. 4 after annealing at 673 K. Fig. 4. The thin lm structure of 15 Al clusters depositing on Si (1 0 0) by ICB under the following conditions: substrate temperature is 300 K and cluster energy is 2 ev/atom. Fig. 6. The micrograph of crystalline orientation of an Al lm on Si (1 0 0) surface.

376 H. Zhang, Z.N. Xia / Nucl. Instr. and Meth. in Phys. es. B 160 (2000) 372±376 4. Conclusions We have used the molecular dynamics simulation to investigate the Al cluster properties on Si (1 0 0) substrate, especially the migration distance with di erent cluster energy and at di erent substrate temperatures. Our simulation shows high cluster energy is bene cial to form thin lm and proves Levenson's experimental result that migration distance can reach the maximum at 473 K. The decrease of surface mobility above 473 K is mainly caused by the increased evaporation rate of Al. Also Al thin lm formed by ICBD at room temperature and subsequent annealing at 673 K proves the experiment of Yamada that Al (1 1 0) crystal can be obtained on Si (1 0 0) substrate. Meanwhile, the simulation result has testi ed that the modi ed Lennard-Jones potential we proposed is feasible in this molecular dynamics simulation. eferences [1] I. Yamada, G.H. Takaoka, Jpn. J. Appl. Phys. 32 (1993) 2121. [2] C. Sosa, in: Gas-Phase and Surface Chemistry in Electronic Materials Processing Symposium, 1995, p. 289. [3] M. Hou, Nucl. Instr. and Meth. B 135 (1998) 501. [4] V.G. Zavodinsky, I.A. Kuyanov, Computational Materials Science 11 (1998) 138. [5] A. Wawro,. Czajka, A. Kasuya, Y. Nishina, Surf. Sci. 365 (1996) 503. [6] S.K. Koh, W.K. Choi, Thin Solid Film 287 (1996) 266. [7] I. Yamada, H. Inokawa, T. Takagi, J. Appl. Phys. 56 (1984) 2746. [8] K.H. Muller, J. Appl. Phys. 61 (1987) 2516. [9] S. Ethier, L.J. Lewis, J. Mater. es. 7 (1992) 2817. [10] F.H. Stillinger, T.A. Weber, Phys. ev. B 31 (1985) 5262. [11] F. Ercolessi, J.B. Adams, Europhys. Lett. 26 (8) (1994) 583. [12] L.L. Levenson, H. Usui, I. Yamada, T. Takagi, A.B. Swartzlander, J. Vac. Sci. Technol. A 7 (1989) 1206. [13] I. Yamada, H. Usui, S. Tanaka, U. Dahmen, K.H. Westmacott, J. Vac. Sci. Technol. A 8 (1990) 1443.