Atomic scale modelling of chromium diffusion and melting in α-iron and iron-chromium alloys using high-temperature molecular dynamics simulation

Author(s):  
Dmitri A. Terentiev ◽  
Lorenzo Malerba ◽  
Par Olsson ◽  
Marc Hou
RSC Advances ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 5507-5515
Author(s):  
Liang Song ◽  
Feng-Qi Zhao ◽  
Si-Yu Xu ◽  
Xue-Hai Ju

The bimolecular and fused ring compounds are found in the high-temperature pyrolysis of NONA using ReaxFF molecular dynamics simulations.


2010 ◽  
Vol 59 (4) ◽  
pp. 2672
Author(s):  
Wang Wei ◽  
Zhang Kai-Wang ◽  
Meng Li-Jun ◽  
Li Zhong-Qiu ◽  
Zuo Xue-Yun ◽  
...  

Author(s):  
Mohammad Moulod ◽  
Gisuk Hwang

Fundamental understanding of the water in graphene is crucial to optimally design and operate the sustainable energy, water desalination, and bio-medical systems. A numerous atomic-scale studies have been reported, primarily articulating the surface interactions (interatomic potentials) between the water and graphene. However, a systematic comparative study among the various interatomic potentials is rare, especially for the water transport confined in the graphene nanostructure. In this study, the effects of different interatomic potentials and gap sizes on water self-diffusivity are investigated using the molecular dynamics simulation at T = 300 K. The water is confined in the rigid graphene nanogap with the various gap sizes Lz = 0.7 to 4.17 nm, using SPC/E and TIP3P water models. The water self-diffusivity is calculated using the mean squared displacement approach. It is found that the water self-diffusivity in the confined region is lower than that of the bulk water, and it decreases as the gap size decreases and the surface energy increases. Also, the water self-diffusivity nearly linearly decreases with the increasing surface energy to reach the bulk water self-diffusivity at zero surface energy. The obtained results provide a roadmap to fundamentally understand the water transport properties in the graphene geometries and surface interactions.


2019 ◽  
Vol 7 (32) ◽  
pp. 9984-9995 ◽  
Author(s):  
Flora D. Tsourtou ◽  
Stavros D. Peroukidis ◽  
Vlasis G. Mavrantzas

Phase diagram of α-nT oligomers with n = 5–8 from the MD simulations.


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