2008
DOI: 10.1016/j.nimb.2008.04.012
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Phase transformation during silica cluster impact on crystal silicon substrate studied by molecular dynamics simulation

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Cited by 12 publications
(4 citation statements)
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References 29 publications
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“…3͑b͒, the bottom of phase transformation zone starts to be locally disordered. 28. The result shows that the c-Si atoms in the impact zone have been transformed into a locally ordered transient structure, which seems to be a mixture of semi-Si-II and semi-bct5-Si.…”
Section: A Impact Loading Stagementioning
confidence: 93%
“…3͑b͒, the bottom of phase transformation zone starts to be locally disordered. 28. The result shows that the c-Si atoms in the impact zone have been transformed into a locally ordered transient structure, which seems to be a mixture of semi-Si-II and semi-bct5-Si.…”
Section: A Impact Loading Stagementioning
confidence: 93%
“…[10][11][12][13][14] The simulations showed that c-Si would transform into Si-II during indentation loading or a locally ordered transient structure during impact loading and then transform into amorphous phase during unloading. And the phase transformation from Si-II or the locally ordered structure to amorphous phase is a reversible process.…”
Section: Introductionmentioning
confidence: 99%
“…And the phase transformation from Si-II or the locally ordered structure to amorphous phase is a reversible process. [10][11][12] Reference 13 showed the Si-III and Si-XII would be formed under indentation loading. Reference 14 studied the change in conductivity of silicon during indentation by MD simulation.…”
Section: Introductionmentioning
confidence: 99%
“…The fundamental mechanisms of the micro-wear of the CMP process are not well understood even though there are so many published papers about CMP modeling. In the light of Jiang's research [6,7] , there are four types of approaches for CMP models: the purely fluid mechanical approach, the fluid dynamics lubrication approach, the contact mechanics approach, and the viscous flow approach. Using the results of the CMP modeling research of the Massachusetts Institute of Technology (MIT), Cadence developed a CMP predictor that can be used for technology below 65 nm.…”
Section: Introductionmentioning
confidence: 99%