Predicting Graphene Growth on Cu: Universal Kinetic Growth Model and Its Experimental Verification

ACS Nano ◽  
2021 ◽  
Author(s):  
Paul Leidinger ◽  
Jürgen Kraus ◽  
Sebastian Günther
Keyword(s):  
Growth Model ◽  
Experimental Verification ◽  
Graphene Growth ◽  
Kinetic Growth

The kinetic growth model applied to micropipes in 6H-SiC

1997 ◽  
Vol 6 (10) ◽  
pp. 1269-1271 ◽  
Author(s):  
J. Heindl ◽  
W. Dorsch ◽  
R. Eckstein ◽  
D. Hofmann ◽  
T. Marek ◽  
...  
Keyword(s):  
Growth Model ◽  
Kinetic Growth

Segregation and Trapping of Erbium in Silicon at a Crystal-Amorphous or Crystal-Vacuum Interface

1996 ◽  
Vol 422 ◽  
Author(s):  
A. Polman ◽  
R. Serna ◽  
J. S. Custer ◽  
M. Lohmeier
Keyword(s):  
Molecular Beam Epitaxy ◽  
Epitaxial Growth ◽  
Growth Model ◽  
Molecular Beam ◽  
Solid Phase ◽  
Solid Phase Epitaxy ◽  
Kinetic Growth ◽  
Vacuum Interface ◽  
Amorphous Si

AbstractThe incorporation of erbium in silicon is studied during solid phase epitaxy (SPE) of Erimplanted amorphous Si on crystalline Si, and during Si molecular beam epitaxy (MBE). Segregation and trapping of Er is observed on Si(100), both during SPE and MBE. The trapping during SPE shows a discontinuous dependence on Er concentration, attributed to the effect of defect trap sites in the amorphous Si near the interface. Trapping during MBE is described by a continuous kinetic growth model. Above a critical Er density (which is lower for MBE than for SPE), growth instabilities occur, attributed to the formation of silicide precipitates. No segregation occurs during MBE on Si(111), attributed to the epitaxial growth of silicide precipitates.

Monte Carlo simulations for a kinetic growth model

1996 ◽  
Vol 29 (20) ◽  
pp. L527-L531 ◽  
Author(s):  
Roberto N Onody ◽  
Ubiraci P C Neves
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Growth Model ◽  
Kinetic Growth

scholarly journals Analysis of Material Transfer From a Soft Workpiece to a Hard Tool: Part II—Experimental Verification of the Proposed Lump Growth Model

2000 ◽  
Vol 123 (3) ◽  
pp. 474-478 ◽  
Author(s):  
M. B. de Rooij ◽  
D. J. Schipper
Keyword(s):  
Sheet Metal ◽  
Growth Model ◽  
Experimental Verification ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Material Transfer ◽  
Selection Of ◽  
Good Agreement

In this study, the lump growth model, described in an accompanying paper (de Rooij and Schipper, 2000) is validated by means of experiments performed on a deepdrawing simulator. In the experiments, the influence of material and roughness properties of both sheet and tool on the galling behavior is determined. For these experiments, a deepdrawing simulator and a selection of aluminum and zinc coated sheets with several (coated) deepdrawing tools are used. Good agreement is found between results of the lump growth model and the sheet metal forming experiments.

scholarly journals From the eden model to the kinetic growth walk: A generalized growth model with a finite lifetime of growth sites

1987 ◽  
Vol 47 (1-2) ◽  
pp. 1-16 ◽  
Author(s):  
Armin Bunde ◽  
Sasuke Miyazima ◽  
H. Eugene Stanley
Keyword(s):  
Growth Model ◽  
Kinetic Growth ◽  
Eden Model

Experimental Verification of a Stochastic Fatigue Crack Growth Model

2015 ◽  
Vol 1120-1121 ◽  
pp. 1419-1423 ◽  
Author(s):  
C.C. Ni
Keyword(s):  
Fatigue Crack ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Growth Model ◽  
Growth Curve ◽  
Experimental Verification ◽  
Random Factor ◽  
Alloy Plate ◽  
Crack Growth Curve ◽  
Crack Growth Model

The study is focused on the experimental verification of a proposed polynomial stochastic fatigue crack growth model. The model was assumed that the fatigue crack growth rate equals to a deterministic polynomial function multiplied by a stationary lognormal random factor. Compact-tension specimens cut from a 2024-T351 aluminum-alloy plate were used for fatigue crack growth experiments under constant-amplitude loads performed on thirty specimens. The comparison of median crack growth curves was made between analytical and experimental outcomes. For extreme case of lognormal random variable, the comparisons of the fatigue crack growth curve, percentile fatigue crack growth curve, probability of crack exceedance, and distribution function of random time between analytical and experimental results were also investigated.

Sign in / Sign up

Export Citation Format

Share Document