The growth of beta-SiC films via chemical vapor deposition (CVD) has been u
nder intensive investigation because this is viewed to be an enabling mater
ial for a variety of new semiconductor devices in areas where silicon canno
t effectively compete. However, the difficulty in achieving single-crystal
or highly textured surface morphology in films with low bulk defect density
has limited the use of beta-SiC films in electronic devices. Although seve
ral researchers have reported results relating the morphology of beta-SiC f
ilms to deposition parameters, including substrate temperature and gas comp
osition, detailed knowledge of the effects of deposition parameters on film
morphology and crystallographic texture is still lacking. If these relatio
nships between deposition parameters and film morphology can be quantified,
then it may be possible to obtain optimal beta-SiC film morphologies via C
VD for specific applications such as high-power electronic devices.
The purpose of this study is to predict the dependence of the surface morph
ology of beta-SiC films grown by CVD on substrate temperature and inlet ato
m ratio of Si:C, and to model the morphological evolution of the growing po
lycrystalline film. The Si:C ratio is determined by the composition of the
reactant gases, propane (C3H8) and silane (SiH4). A two-dimensional numeric
al model based on growth rate parameters has been developed to predict the
evolution of the surface morphology. The model calculates the texture, surf
ace roughness, and grain size of continuous polycrystalline beta-SiC films
resulting from growth competition between nucleated seed crystals of known
orientation. Crystals with the fastest growth direction perpendicular to th
e substrate surface are allowed to overgrow all other crystal orientations.
When a continuous polycrystalline film is formed, the facet orientations o
f crystals are represented on the surface. In the model, the growth paramet
er alpha(2D), the ratio of the growth rates of the {10} and {11} faces, det
ermines the crystal shapes and, thus, the facet orientations of crystals. T
he growth rate parameter alpha(2D) used in the model has been derived empir
ically from the textures of continuous beta-SiC films reported in the liter
ature. (C) 2000 Elsevier Science S.A. All rights reserved.