textWe have developed continuous random network (CRN) model based Metropolis Monte Carlo simulation tools which are capable of predicting the structural properties of amorphous semiconductor and oxide materials as well as their interface. To bolster the reliability of the CRN model, we have developed force fields based on gradient corrected density functional theory (DFT) calculations. Our in-house CRN-MMC tools have been massively parallelized, which allows us to create fairly large model structures within a reasonable computational time. Using the integrated CRN-MMC tools, we have elucidated the complex growth and structure of self-interstitial and vacancy clusters in silicon and the effect of strain on the structure and stability of the ...
To establish a description of realistic structural evolution of a growth film, we propose a local de...
Although multicrystalline silicon (mc-Si) currently is the most widely used material for fabricating...
A computational framework is presented for describing the nucleation and growth of vacancy clusters ...
textWe have developed continuous random network (CRN) model based Metropolis Monte Carlo simulation ...
As the device dimension in semiconductor silicon transistors reach sub-20nm, it significantly enhanc...
Atomic structure of amorphous silicon consistent with several reported experimental measurements has...
A completely first-principles procedure for the creation of experimentally validated amorphous silic...
The structure of amorphous silicon is widely thought of as a fourfold-connected random network, and ...
As the device dimension in semiconductor silicon transistors reach sub-20nm, it significantly enhanc...
It is widely accepted in the materials modeling community that defect-free realistic networks of amo...
As the device dimension in semiconductor silicon transistors reach sub-20nm, it significantly enhanc...
Understanding the structural origins of the properties of amorphous materials remains one of the mos...
Understanding the structural origins of the properties of amorphous materials remains one of the mos...
In this thesis we apply a variety of computational methods based on density-functional theory (DFT) ...
The structural control of silicon nanocrystals embedded in amorphous oxide is currently an important...
To establish a description of realistic structural evolution of a growth film, we propose a local de...
Although multicrystalline silicon (mc-Si) currently is the most widely used material for fabricating...
A computational framework is presented for describing the nucleation and growth of vacancy clusters ...
textWe have developed continuous random network (CRN) model based Metropolis Monte Carlo simulation ...
As the device dimension in semiconductor silicon transistors reach sub-20nm, it significantly enhanc...
Atomic structure of amorphous silicon consistent with several reported experimental measurements has...
A completely first-principles procedure for the creation of experimentally validated amorphous silic...
The structure of amorphous silicon is widely thought of as a fourfold-connected random network, and ...
As the device dimension in semiconductor silicon transistors reach sub-20nm, it significantly enhanc...
It is widely accepted in the materials modeling community that defect-free realistic networks of amo...
As the device dimension in semiconductor silicon transistors reach sub-20nm, it significantly enhanc...
Understanding the structural origins of the properties of amorphous materials remains one of the mos...
Understanding the structural origins of the properties of amorphous materials remains one of the mos...
In this thesis we apply a variety of computational methods based on density-functional theory (DFT) ...
The structural control of silicon nanocrystals embedded in amorphous oxide is currently an important...
To establish a description of realistic structural evolution of a growth film, we propose a local de...
Although multicrystalline silicon (mc-Si) currently is the most widely used material for fabricating...
A computational framework is presented for describing the nucleation and growth of vacancy clusters ...