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Cl2/O2 Gas Reaction mixtures Plasma Kinetics Modeling

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주제분류재료공학

초록

A study on both etching characteristics and mechanism of Cl2/O2 gas were investigated. We obtained that the change of O2/(Cl2+O2) mixing ratio from 0 to 0.2 leads to the increase of electron average energy, electron drift rate and Electron Energy Distribution Function deformation due to a “transparency” effect and rate coefficients of electron impact processes also depend on a mixture content. The comparison of rate coefficients and rates of elementary processes have shown that the main mechanisms of Cl and O atoms formation are the direct electron impact dissociation of corresponding molecules while the contribution of all possible “secondary” processes is not significant in the case of a relatively low O2 addition. The main mechanisms of Cl and O atom formation are the direct electron impact dissociation of corresponding molecules while the contribution of all possible “secondary” processes is not significant in the case of a relatively low O2 addition.

Abstract

A study on both etching characteristics and mechanism of Cl2/O2 gas were investigated. We obtained that the change of O2/(Cl2+O2) mixing ratio from 0 to 0.2 leads to the increase of electron average energy, electron drift rate and Electron Energy Distribution Function deformation due to a “transparency” effect and rate coefficients of electron impact processes also depend on a mixture content. The comparison of rate coefficients and rates of elementary processes have shown that the main mechanisms of Cl and O atoms formation are the direct electron impact dissociation of corresponding molecules while the contribution of all possible “secondary” processes is not significant in the case of a relatively low O2 addition. The main mechanisms of Cl and O atom formation are the direct electron impact dissociation of corresponding molecules while the contribution of all possible “secondary” processes is not significant in the case of a relatively low O2 addition.

참고문헌 (7)

  1. J.M. Cook, "Etching issues in high density SF6 plasma”, IEEE Trans Plasma Sci.29 (1997) 315.C.D. Himmel and G.S. May. “Advantages of plasma etch modeling using neural networks over statistical techniques", J. . Vac. Sci. Technol. A, 18, pp.417~ (2000)
  2. R.J. Schutz, "in VLSI Technology", pp.183~ (1988), Mcgraw-Hill
  3. D.C. Monogomery, "Design and Analysis of Experiments", pp.259~ (1991), John Wiley & Sons
  4. B. Kim, "Modeling plasma equipment using neural networks", IEEE Trans Plasma Sci, 29, pp.238~ (2001)
  5. B. Chapman, "Glow discharge processes", pp.127~ (1980), Wiley
  6. B. Kim, "An optimal neural network process model for plasma etching", IEEE Trans Semicond. Manufact, 7, pp.125~ (1994)
  7. C.D. Himmel, "Advantages of plasma etch modeling using neural networks over statistical techniques", J. Vac. Sci. Technol. A, 18, pp.417~ (2000)

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