2022
DOI: 10.1016/j.commatsci.2021.111016
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Insight of displacement cascade evolution in gallium arsenide through molecular dynamics simulations

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Cited by 7 publications
(10 citation statements)
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“…In this case, we obtain defects must be predominantly of interstitial-type, as RBS/C is highly sensitive to them, and since interstitial defects in GaAs do induce a positive strain because they exhibit a positive relaxation volume [39]. Besides, atomistic simulations pointed out that both vacancy and interstitial clusters are formed in collision cascades, but interstitial clusters are bigger and more numerous [40][41]. Secondly, amorphous-like clusters form, surrounded by defective but still crystalline regions that eventually transform into an amorphous state (hence the detected strain that increases up to full amorphization).…”
Section: Iv1 Modelling Of the Damage Build-upmentioning
confidence: 84%
“…In this case, we obtain defects must be predominantly of interstitial-type, as RBS/C is highly sensitive to them, and since interstitial defects in GaAs do induce a positive strain because they exhibit a positive relaxation volume [39]. Besides, atomistic simulations pointed out that both vacancy and interstitial clusters are formed in collision cascades, but interstitial clusters are bigger and more numerous [40][41]. Secondly, amorphous-like clusters form, surrounded by defective but still crystalline regions that eventually transform into an amorphous state (hence the detected strain that increases up to full amorphization).…”
Section: Iv1 Modelling Of the Damage Build-upmentioning
confidence: 84%
“…Fatigue loading was applied using a strain-controlled approach, 19,21 as depicted in Figure 1B. The simulation results were imported into OVITO 33 for analysis using the common neighbor analysis (CNA), 34 dislocation analysis (DXA), 35,36 Wigner-Seitz defect analysis (W-S), [37][38][39] polyhedral template matching (PTM), 40 and grain segmentation (GS) methods. 41 3 | RESULTS AND DISCUSSION…”
Section: Methods and Crack Modelsmentioning
confidence: 99%
“…The microanalysis of the crack model above reveals the presence of crystal defects, such as vacancies and prismatic dislocations, emerging within the structure under various loading conditions. To gain a deeper understanding of how these dislocations and vacancy structures are influenced by the loading conditions, dynamic statistics of the percentage of prismatic <a> dislocation density and vacancies are conducted using the DXA method 35,36 and W-S method, [37][38][39] respectively. As shown in Figure 8A1-A3, the number of vacancies under different loading conditions exhibits a continuous increase with cyclic strains.…”
Section: Microstructure Evolution Analysismentioning
confidence: 99%
“…In recent years, the MD simulations of primary displacement damage in GaAs have focused on several influencing factors such as the energy and type of primary knock-on atoms (PKAs), ambient temperature, and electronic stopping power on the defect evolution of point defects and cluster defects. 2,6,7 Concurrently, the radiation fluence of energetic particles has a certain impact on the primary displacement damage of semiconductor materials. 5,8 In the literature, the defect evolution caused by radiation fluence has been investigated by employing overlapping cascades in MD simulations to correlate the radiation fluence with displacement damage.…”
Section: Article Pubsaiporg/aip/advmentioning
confidence: 99%
“…3,5 The defect evolution triggered by the displacement damage can last for tens of picoseconds within the material, while the subsequent longterm defect evolution resulting from thermally activated processes can endure from nanoseconds to years. 4,6 The primary displacement damage involves the intense energy dissipation of energetic particles in materials by collision cascades and determines the subsequent long-term defect evolution, which leads researchers to pay attention to the mechanism of primary displacement damage. 1,2,4…”
Section: Introductionmentioning
confidence: 99%