A Comprehensive Atomistic Kinetic Monte Carlo Model for Amorphization/Recrystallization and its Effects on Dopants

2008 ◽  
Vol 1070 ◽  
Author(s):  
Nikolas Zographos ◽  
Ignacio Martin-Bragado

ABSTRACTThis work shows a comprehensive atomistic model to describe amorphization and recrystallization, and its different effects on dopants in silicon. We begin by describing the physical basis of the model used, based on the transformation of ion-implanted dopants and generated point defects into amorphous pockets of different sizes. The growth and dissolution of amorphous pockets is simulated by the capture and recombination of point defects with different activation energies. In some cases, this growth leads to the formation of amorphous layers. These layers, composed of a set of amorphous elements, have an activation energy to be recrystallized. The recrystallization velocity is modeled not only depending on temperature, but also on dopant concentration. During the recrystallization, dopants move with the recrystallization front to simulate the dopant redistribution during solid phase epitaxial regrowth (SPER). At the edge of the amorphous-crystalline interface, the remaining damage forms end-of-range (EOR) defects.Once the model is explained, we discuss the calibration methodology used to reproduce several amorphous/crystalline (A/C) experiments, including the dependencies of the A/C transition temperature on dose rate and ion mass, and the A/C depth on ion implant energy.This calibrated model allows us to explore the redistribution of several dopants, including B, As, F, and In, during SPER. Experimental results for all these dopants are compared with relevant simulations.

2009 ◽  
Vol 1215 ◽  
Author(s):  
Tomoaki Suzudo ◽  
Masatake Yamaguchi ◽  
Hideo Kaburaki ◽  
Ken-ichi Ebihara

AbstractWe applied ab initio calculation and an object kinetic Monte Carlo modeling to the study of He-vacancy cluster nucleation under irradiation in bcc and fcc Fe, which are surrogate materials for ferritic/martensitic and austenitic steels, respectively. The ab initio calculations provided parameters for the object kinetic Monte Carlo model, such as the migration energies of point defects and the dissociation energies of He and vacancy to He-vacancy clusters. We specially focused on the simulation of high He/dpa irradiation such as He-implantation into the materials and tracked the nucleation of clusters and the fate of point defects such as SIAs, vacancies, and He atoms. We found no major difference of He-vacancy cluster nucleation between bcc and fcc Fe when we ignore the intracascade clustering even if the migration energies of point defects are significantly different between the two crystals.


Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4523
Author(s):  
Qilu Ye ◽  
Jianxin Wu ◽  
Jiqing Zhao ◽  
Gang Yang ◽  
Bin Yang

The mechanism of the clustering in Al-Mg-Si-Cu alloys has been a long-standing controversial issue. Here, for the first time, the mechanism of the clustering in the alloy was investigated by a Kinetic Monte Carlo (KMC) approach. In addition, reversion aging (RA) was carried out to evaluate the simulation results. The results showed that many small-size clusters formed rapidly in the early stages of aging. With the prolongation of aging time, the clusters merged and grew. The small clusters formed at the beginning of aging in Al-Mg-Si-Cu alloy were caused by initial vacancies (quenching vacancies). The merging and decomposition of the clusters were mainly caused by the capturing of vacancies, and the clusters had a probability to decompose before reaching a stable size. After repeated merging and decomposition, the clusters reach stability. During RA, the complex interaction between the cluster merging and decomposition leaded to the partial irregular change of the hardness reduction and activation energy.


2020 ◽  
Vol 102 (3) ◽  
Author(s):  
Leonardo Evaristo de Sousa ◽  
Pedro Henrique de Oliveira Neto ◽  
Demetrio Antônio da Silva Filho

2019 ◽  
Vol 209 ◽  
pp. 133-143 ◽  
Author(s):  
Gustavo Leon ◽  
Nick Eaves ◽  
Jethro Akroyd ◽  
Sebastian Mosbach ◽  
Markus Kraft

2020 ◽  
Vol 32 (15) ◽  
pp. 155401 ◽  
Author(s):  
Shuai Chen ◽  
Junfeng Gao ◽  
Bharathi M Srinivasan ◽  
Gang Zhang ◽  
Viacheslav Sorkin ◽  
...  

Author(s):  
Lai MingRui ◽  
Ramanarayan Hariharaputran ◽  
Khoong Hong Khoo ◽  
Jin Hongmei ◽  
Shunnian Wu ◽  
...  

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