flow of information in the research community will be able to gain the most commercial advantage. Individual companies will no doubt develop proprietary databases and proprietary models of their tools and processes. However, this practice should not restrict the public flow of information to and from research teams. Toward this end, it seems desirable to establish at least one data center, in which database information, including collisional process characterization data and mechanism data, would be archived, evaluated, and disseminated.
Models of low-temperature, nonequilibrium plasmas, especially for the description of physical phenomena, have developed rapidly in the last 5 years. Computing power per unit cost continues to increase rapidly. However, few of the currently available plasma models can be used easily by process engineers. Although attempts have been made to model plasmas with realistic chemistries, the parameter space that can be addressed is limited. Only a handful of studies have been made that attempt to validate models of plasma processes with industrially relevant chemistries. Models that attempt to link the relevant length scales (from tool scale to feature scale to atomic scale) are just now emerging. Simulations can be no more accurate than the data and assumptions on which they are based. The lack of fundamental data for the most important chemical species is the single largest factor limiting the successful application of models to problems of industrial interest.
1. See, for example, "Special Issue on Modeling Collisional Low-Temperature Plasmas," eds. M.J. Kushner and D.B. Graves, IEEE Trans. Plasma Sci . 19(2):61 (1991), and "Special Issue on Modeling Collisional Low-Temperature Plasmas," eds. J. Wu, M. Meyyappan, and D. Economou, IEEE Trans. Plasma Sci. (August 1995).
2. A. Krishnan, Workshop on Database Needs in Plasma Processing, Washington, D.C., April 1-2, 1995.
3. M.E. Barone and D.B. Graves, J. Appl. Phys. 77:12-65 (1995).