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The ab initio molecular dynamics method is used to simulate the friction process of the graphene sheet as lubricant added to the silicon-based material interface under the action of compression and shear, and the influence of water molecules and oxidation of graphene surface on the movement behavior of graphene sheet are studied. In a dry environment, the pristine graphene (PG) sheet will slip only when the pressure is high. Owing to the presence of surface functional groups, a strong force is formed between the graphene oxide (GO) sheet and the substrate. The direction of the hydroxyl groups on the surface of the upper slab is consistent as the upper slab moves at a constant speed, resulting in the fact that the force between the GO sheet and the upper slab is greater and the GO sheet slides forward with the upper slab. Owing to the formation of mechanical interlock between the GO sheet and the lower slab surface, the GO sheet no longer slips when the pressure is high. In a humid environment, the interface structure affects the overall distribution and movement state of water molecules. The water molecules between the PG sheet and the upper slab are adsorbed only on the surface of the upper slab and always remain in a “flat” state, and their motion behavior is consistent with the upper slab’s. Comparing with a dry environment, the PG sheet starts to slip only when the pressure is high. Since the hydroxyl orientation angle on the surface of the upper slab is greater than the hydroxyl orientation angle on the surface of the GO sheet, the water molecules gradually change from the "flat" state to the slightly “upright” state as the pressure increases. The change of the orientation of water molecules makes the bonding strength between water molecules and the GO sheet gradually decrease, leading to a relative slip between them. The change in the movement behavior of the graphene sheet causes the shear plane to change. There is a positive correlation between the velocity fluctuation mean square error of the graphene sheet and the friction coefficient as the oxidation rate of graphene sheet increases under different coverages of water molecules, indicating that the motion behavior of the lubricant affects the interface friction characteristics.
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Keywords:
- graphene oxide /
- water /
- silica /
- ab initio molecular dynamics
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[24] Gongyang Y, Qu C, Zhang S, Ma M, Zheng Q 2018 Carbon 132 444Google Scholar
[25] Humphrey W, Dalke A, Schulten K 1996 J. Mol. Graph. 14 33Google Scholar
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[27] Gao W, Xiao P H, Henkelman G, Liechti K M, Huang R 2014 J. Phys. D: Appl. Phys. 47 255301Google Scholar
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图 5 水分子偶极矩角在不同压强下的概率分布 (a) Gr/H2O-12模型; (b) GO-50%/H2O-12模型; (c)水分子偶极矩角拟合峰值随压强变化
Figure 5. Probability distribution of the dipole moment angle of water molecules under different pressure in the model: (a) Gr/H2O-12; (b) GO-50%/H2O-12; (c) fitting peak values of the dipole momentangle of water molecule change with pressure.
图 6 (a) 潮湿环境下不同类型的界面氢键; GO片层/水分子之间(b)及水分子/SiO2上基底之间(c)氢键数量随压强变化
Figure 6. (a) Different patterns of interfacial hydrogen bonds in a humid environment; changes of numbers of hydrogen bonds between the GO sheet and water molecules (b) and between water molecules and the SiO2 upper slab (c) with pressure.
图 8 潮湿环境下SiO2上基底、水分子层和石墨烯片层沿滑移方向上的位移以及摩擦力随压强的变化情况 (a) Gr/H2O-0模型; (b) GO-50%/H2O-0模型
Figure 8. The displacements of the SiO2 upper slab, water layer and the graphene sheet by the slide direction and friction force change with pressure of (a) Gr/H2O-0 and (b) GO-50%/H2O-0 model in a humid environment.
图 9 (a)不同水分子覆盖率下石墨烯片层的速度波动均方差与摩擦系数随石墨烯氧化率变化; 干燥环境(b)和潮湿环境(c)下石墨烯片层速度随压强变化
Figure 9. (a) Velocity fluctuation mean square error of the graphene sheet and the friction coefficient changes with the graphene oxidation rate under different water molecule coverage; The velocity of graphene sheet changes with pressure in a (b) dry and (c) humid environment.
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[1] Wang X D, Yu J X, Chen L, Qian L M, Zhou Z R 2011 Wear 271 1681Google Scholar
[2] Chandross M, Lorenz C A, Grest G S, Stevens M J, Webb E B 2005 JOM 57 55Google Scholar
[3] Chen H, Filleter T 2015 Nanotechnology 26 135702Google Scholar
[4] Koenig S P, Boddeti N G, Dunn M L, Bunch J S 2011 Nat. Nanotechnol. 6 543Google Scholar
[5] Li A, Liu Y, Szlufarska I 2014 Tribol. Lett. 56 481Google Scholar
[6] Dong Y L, Wu X W, Martini A 2013 Nanotechnology 24 375701Google Scholar
[7] Zeng X Z, Peng Y T, Yu M C, Lang H J, Cao X A, Zou K 2018 ACS Appl. Mater. Interfaces 10 8214Google Scholar
[8] Ou J F, Wang Y, Wang J Q, Liu S, Li Z P, Yang S R 2011 J. Phys. Chem. C 115 10080Google Scholar
[9] Arif T, Colas G, Filleter T 2018 ACS Appl. Mater. Interfaces 10 22537Google Scholar
[10] Kim B I, Boehm R D, Bonander J R 2013 J. Chem. Phys. 139 054701Google Scholar
[11] Ramin L, Jabbarzadeh A 2013 Langmuir 29 13367Google Scholar
[12] Ootani Y, Xu J X, Hatano T, Kubo M 2018 J. Phys. Chem. C 122 10459Google Scholar
[13] Hasz K, Ye Z J, Martini A, Carpick R W 2018 Phys. Rev. Mater. 2 126001Google Scholar
[14] Rana M K, Chandra A 2013 J. Chem. Phys. 138 204702Google Scholar
[15] Lee H, Ko J H, Choi J S, Hwang J H, Kim Y H, Salmeron M, Park J Y 2017 J. Phys. Chem. Lett. 8 3482Google Scholar
[16] Wang C, Qian C, Li Z, Wei N, Zhang N, Wang Y, He H 2020 Ind. Eng. Chem. Res. 59 8028Google Scholar
[17] Cheng Y, Ma M 2020 Phys. Rev. Mater. 4 113606Google Scholar
[18] van Wijk M M, de Wijn A S, Fasolino A 2016 J. Phys.: Condens. Matter 28 134007Google Scholar
[19] Levita G, Righi M C 2017 ChemPhysChem 18 1475Google Scholar
[20] Car R, Parrinello M 1985 Phys. Rev. Lett. 55 2471Google Scholar
[21] Giannozzi P, Baroni S, Bonini N, Calandra M, Car R, Cavazzoni C, Ceresoli D, Chiarotti G L, Cococcioni M, Dabo I, Dal Corso A, de Gironcoli S, Fabris S, Fratesi G, Gebauer R, Gerstmann U, Gougoussis C, Kokalj A, Lazzeri M, Martin-Samos L, Marzari N, Mauri F, Mazzarello R, Paolini S, Pasquarello A, Paulatto L, Sbraccia C, Scandolo S, Sclauzero G, Seitsonen A P, Smogunov A, Umari P, Wentzcovitch R M 2009 J. Phys.: Condens. Matter 21 395502Google Scholar
[22] Yue D C, Ma T B, Hu Y Z, Yeon J, van Duin A C T, Wang H, Luo J B 2013 J. Phys. Chem. C 117 25604Google Scholar
[23] Lu N, Yin D, Li Z, Yang J 2011 J. Phys. Chem. C 115 11991Google Scholar
[24] Gongyang Y, Qu C, Zhang S, Ma M, Zheng Q 2018 Carbon 132 444Google Scholar
[25] Humphrey W, Dalke A, Schulten K 1996 J. Mol. Graph. 14 33Google Scholar
[26] Chateauneuf G M, Mikulski P T, Gao G T, Harrison J A 2004 J. Phys. Chem. B 108 16626Google Scholar
[27] Gao W, Xiao P H, Henkelman G, Liechti K M, Huang R 2014 J. Phys. D: Appl. Phys. 47 255301Google Scholar
[28] Lee M J, Choi J S, Kim J, Byun I, Lee D H, Ryu S, Lee C, Park B H 2012 Nano Res. 5 710Google Scholar
[29] McKenzie S, Kang H C 2014 Phys. Chem. Chem. Phys. 16 26004Google Scholar
[30] Yang J J, Wang E G 2006 Phys. Rev. B 73 035406Google Scholar
[31] Bonnaud P A, Coasne B, Pellenq R J M 2010 J. Phys.: Condens. Matter 22 284110Google Scholar
[32] Notman R, Walsh T R 2009 Langmuir 25 1638Google Scholar
[33] Cimas A, Tielens F, Sulpizi M, Gaigeot M P, Costa D 2014 J. Phys.: Condens. Matter 26 244106Google Scholar
[34] Kajita S, Righi M C 2016 Tribol. Lett. 61 17Google Scholar
[35] Lee D, Ahn G, Ryu S 2014 J. Am. Chem. Soc. 136 6634Google Scholar
[36] Lang H, Peng Y, Zeng X, Cao X A, Liu L, Zou K 2018 Carbon 137 519Google Scholar
[37] Peng Y, Wang Z, Zou K 2015 Langmuir 31 7782Google Scholar
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