Atomistic understanding of interfacial processing mechanism of silicon in water environment: A ReaxFF molecular dynamics simulation
Atomistic understanding of interfacial processing mechanism of silicon in water environment: A ReaxFF molecular dynamics simulation
The interfacial wear between silicon and amorphous silica in water environment is critical in numerous applications. However, the understanding regarding the micro dynamic process is still unclear due to the limitations of apparatus. Herein, reactive force field simulations are utilized to study the interfacial process between silicon and amorphous silica in water environment, exploring the removal and damage mechanism caused by pressure, velocity, and humidity. Moreover, the reasons for high removal rate under high pressure and high velocity are elucidated from an atomic perspective. Simulation results show that the substrate is highly passivated under high humidity, and the passivation layer could alleviate the contact between the abrasive and the substrate, thus reducing the damage and wear. In addition to more Si-O-Si bridge bonds formed between the abrasive and the substrate, new removal pathways such as multibridge bonds and chain removal appear under high pressure, which cause higher removal rate and severer damage. At a higher velocity, the abrasive can induce extended tribochemical reactions and form more interfacial Si-O-Si bridge bonds, hence increasing removal rate. These results reveal the internal cause of the discrepancy in damage and removal rate under different conditions from an atomic level.
silicon / ReaxFF / molecular dynamics / friction / damage
[1] |
Demiri S, Boedo S, Grande W J. Conformality effects on the wear of low-speed, large aspect ratio silicon journal microbearings. Wear, 2010, 268(3–4): 361–372
CrossRef
ADS
Google scholar
|
[2] |
Bartsch S T, Lovera A, Grogg D,
CrossRef
ADS
Google scholar
|
[3] |
Zhang Z, Yan J, Kuriyagawa T. Manufacturing technologies toward extreme precision. International Journal of Extreme Manufacturing, 2019, 1(2): 022001
CrossRef
ADS
Google scholar
|
[4] |
Fang F, Zhang N, Guo D,
CrossRef
ADS
Google scholar
|
[5] |
Fang F Z. On atomic and close-to-atomic scale manufacturing—Development trend of manufacturing technology. China Mechanical Engineering, 2020, 31(9): 1009–1021 (in Chinese)
CrossRef
ADS
Google scholar
|
[6] |
Wang J, Fang F, Yan G,
CrossRef
ADS
Google scholar
|
[7] |
Li J, Liu Y, Dai Y,
CrossRef
ADS
Google scholar
|
[8] |
Asay D B, Kim S H. Effects of adsorbed water layer structure on adhesion force of silicon oxide nanoasperity contact in humid ambient. Journal of Chemical Physics, 2006, 124(17): 174712
CrossRef
ADS
Google scholar
|
[9] |
Israelachvili J N. Soft and biological structures. In: Israelachvili J N, ed. Intermolecular and Surface Forces. 3rd ed. Salt Lake City: Academic Press, 2011, 535–576
CrossRef
ADS
Google scholar
|
[10] |
Wang H, Song Z, Liu W,
CrossRef
ADS
Google scholar
|
[11] |
Wang Y G, Zhang L C, Biddut A. Chemical effect on the material removal rate in the CMP of silicon wafers. Wear, 2011, 270(3–4): 312–316
CrossRef
ADS
Google scholar
|
[12] |
Imoto R, Stevens F, Langford S C,
CrossRef
ADS
Google scholar
|
[13] |
Katsuki F. Single asperity tribochemical wear of silicon by atomic force microscopy. Journal of Materials Research, 2009, 24(1): 173–178
CrossRef
ADS
Google scholar
|
[14] |
Fang F Z, Wu H, Liu Y C. Modelling and experimental investigation on nanometric cutting of monocrystalline silicon. International Journal of Machine Tools and Manufacture, 2005, 45(15): 1681–1686
CrossRef
ADS
Google scholar
|
[15] |
Fang F Z, Venkatesh V C. Diamond cutting of silicon with nanometric finish. CIRP Annals, 1998, 47(1): 45–49
CrossRef
ADS
Google scholar
|
[16] |
Wen J, Ma T, Zhang W,
CrossRef
ADS
Google scholar
|
[17] |
Chen L, Wen J, Zhang P,
CrossRef
ADS
Google scholar
|
[18] |
Hasan R M M, Politano O, Luo X. ReaxFF molecular dynamics simulation study of nanoelectrode lithography oxidation process on silicon (100) surface. Applied Surface Science, 2019, 496: 143679
CrossRef
ADS
Google scholar
|
[19] |
Murad Hasan R M, Politano O, Luo X. Substrate orientation effects on nanoelectrode lithography: ReaxFF molecular dynamics and experimental study. Journal of Physics D: Applied Physics, 2020, 53(29): 295108
CrossRef
ADS
Google scholar
|
[20] |
Yu J, Kim S H, Yu B,
CrossRef
ADS
Google scholar
|
[21] |
Chen L, He H, Wang X,
CrossRef
ADS
Google scholar
|
[22] |
Yu J, Chen L, Qian L,
CrossRef
ADS
Google scholar
|
[23] |
Wang X, Kim S H, Chen C,
CrossRef
ADS
Google scholar
|
[24] |
Forsberg M. Effect of process parameters on material removal rate in chemical mechanical polishing of Si (100). Microelectronic Engineering, 2005, 77(3–4): 319–326
CrossRef
ADS
Google scholar
|
[25] |
Zarudi I, Han B S. Deformation and material removal rate in polishing silicon wafers. Journal of Materials Processing Technology, 2003, 140(1–3): 641–645
CrossRef
ADS
Google scholar
|
[26] |
Gelinck E R M, Schipper D J. Calculation of Stribeck curves for line contacts. Tribology International, 2000, 33(3–4): 175–181
CrossRef
ADS
Google scholar
|
[27] |
van Duin A C T, Dasgupta S, Lorant F,
CrossRef
ADS
Google scholar
|
[28] |
Chenoweth K, van Duin A C T, Goddard W A. ReaxFF reactive force field for molecular dynamics simulations of hydrocarbon oxidation. Journal of Physical Chemistry A, 2008, 112(5): 1040–1053
CrossRef
ADS
Google scholar
|
[29] |
Senftle T P, Hong S, Islam M M,
CrossRef
ADS
Google scholar
|
[30] |
Mao Q, Rajabpour S, Kowalik M,
CrossRef
ADS
Google scholar
|
[31] |
Yuan S, Guo X, Mao Q,
CrossRef
ADS
Google scholar
|
[32] |
Yuan S, Guo X, Huang J,
CrossRef
ADS
Google scholar
|
[33] |
Guo X, Yuan S, Huang J,
CrossRef
ADS
Google scholar
|
[34] |
Li X, Wang A, Lee K. Insights on low-friction mechanism of amorphous carbon films from reactive molecular dynamics study. Tribology International, 2019, 131: 567–578
CrossRef
ADS
Google scholar
|
[35] |
Hahn S H, Liu H, Kim S H,
CrossRef
ADS
Google scholar
|
[36] |
Fogarty J C, Aktulga H M, Grama A Y,
CrossRef
ADS
Google scholar
|
[37] |
Assowe O, Politano O, Vignal V,
CrossRef
ADS
Google scholar
|
[38] |
Hoover W G. Canonical dynamics: Equilibrium phase-space distributions. Physical Review A, 1985, 31(3): 1695–1697
CrossRef
ADS
Google scholar
|
[39] |
Carter S, Handy N C. A variational method for the calculation of ro-vibronic levels of any orbitally degenerate (Renner-Teller) triatomic molecule. Molecular Physics, 1984, 52(6): 1367–1391
CrossRef
ADS
Google scholar
|
[40] |
van Gunsteren W F, Berendsen H J C. Algorithms for macromolecular dynamics and constraint dynamics. Molecular Physics, 1977, 34(5): 1311–1327
CrossRef
ADS
Google scholar
|
[41] |
Nakano A. Parallel multilevel preconditioned conjugate-gradient approach to variable-charge molecular dynamics. Computer Physics Communications, 1997, 104(1–3): 59–69
CrossRef
ADS
Google scholar
|
[42] |
Janssens G O A, Baekelandt B G, Toufar H,
CrossRef
ADS
Google scholar
|
[43] |
Rappe A K, Goddard W A III. Charge equilibration for molecular dynamics simulations. Journal of Physical Chemistry, 1991, 95(8): 3358–3363
CrossRef
ADS
Google scholar
|
[44] |
Mortier W J, Ghosh S K, Shankar S. Electronegativity-equalization method for the calculation of atomic charges in molecules. Journal of the American Chemical Society, 1986, 108(15): 4315–4320
|
[45] |
Aktulga H M, Fogarty J C, Pandit S A,
CrossRef
ADS
Google scholar
|
[46] |
Plimpton S. Fast parallel algorithms for short-range molecular dynamics. Journal of Computational Physics, 1995, 117(1): 1–19
CrossRef
ADS
Google scholar
|
[47] |
Stukowski A. Visualization and analysis of atomistic simulation data with OVITO—The open visualization tool. Modelling and Simulation in Materials Science and Engineering, 2010, 18(1): 2154–2162
CrossRef
ADS
Google scholar
|
[48] |
Konicek A R, Grierson D S, Sumant A V,
CrossRef
ADS
Google scholar
|
[49] |
Wen J, Ma T, Zhang W,
CrossRef
ADS
Google scholar
|
/
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