Date of Award
Doctor of Philosophy (PhD)
Chemical and Biomolecular Engineering
Dr. Talid R. Sinno
As the device dimension in semiconductor silicon transistors reach sub-20nm, it significantly enhances the tolerance limits on the size and concentration of defects in the underlying crystalline silicon wafer. Understanding the evolution of defect clusters is critical for controlling the defect density and size distribution within crystalline silicon. The objective of this thesis is to develop the computational methodology that quantitatively describes the evolution of defect clusters in crystalline solids at an atomistic level, and provide a mechanistic understanding of underlying physics behind the defect aggregation process.
In first part of the thesis we develop a novel computational method for probing the thermodynamics of defects in solids. We use this to estimate the configurational entropy of vacancy clusters which is shown to substantially alter the thermodynamic properties of vacancy clusters in crystals at high temperature. The modified thermodynamic properties of vacancy clusters at high temperature are found to explain a longstanding discrepancy between simulation predictions and experimental measurements of vacancy aggregation dynamics in silicon.
In the next part, a comprehensive atomistic study of self-interstitial aggregation in crystalline silicon is presented. The effects of temperature and pressure on the aggregation process are studied in detail and found to generate a variety of qualitatively different interstitial cluster morphologies and growth behavior. A detailed thermodynamic analysis of various cluster configurations shows that both vibrational and configurational entropies are potentially important in setting the properties of small silicon interstitial clusters. The results suggest that a competition between formation energy and entropy of small clusters could be linked to the selection process between various self-interstitial precipitate morphologies observed in ion-implanted crystalline silicon.
Finally in the last section, we investigate the effect of carbon on self-interstitial aggregation. The presence of carbon in the silicon dramatically reduces cluster coalescence, with almost no direct effect on the single self-interstitials. This suggests that suppression of transient enhanced diffusion of boron (in presence of carbon), could be due to the direct interaction between carbon atoms and self-interstitial clusters.
Kapur, Sumeet S., "MULTISCALE MODELING AND SIMULATIONS OF DEFECT CLUSTERS IN CRYSTALLINE SILICON" (2010). Publicly accessible Penn Dissertations. Paper 109.