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Article

Molecular Dynamics Simulation of the Influence of Nanoscale Structure on Water Wetting and Condensation

Department of Mechanical Engineering, Kogakuin University, Tokyo 163-8677, Japan
*
Author to whom correspondence should be addressed.
Micromachines 2019, 10(9), 587; https://doi.org/10.3390/mi10090587
Submission received: 23 May 2019 / Revised: 27 August 2019 / Accepted: 29 August 2019 / Published: 31 August 2019

Abstract

:
Recent advances in the microfabrication technology have made it possible to control surface properties at micro- and nanoscale levels. Functional surfaces drastically change wettability and condensation processes that are essential for controlling of heat transfer. However, the direct observation of condensation on micro- and nanostructure surfaces is difficult, and further understanding of the effects of the microstructure on the phase change is required. In this research, the contact angle of droplets with a wall surface and the initial condensation process were analyzed using a molecular dynamics simulation to investigate the impact of nanoscale structures and their adhesion force on condensation. The results demonstrated the dependence of the contact angle of the droplets and condensation dynamics on the wall structure and attractive force of the wall surface. Condensed water droplets were adsorbed into the nanostructures and formed a water film in case of a hydrophilic surface.

Graphical Abstract

1. Introduction

With recent advances in the micro- and nanoscale processing and measurement technology, it has become possible to add fine structures to surfaces [1,2,3]. These microstructures are known to have significant effects on wettability of liquids [4,5,6] and are expected to be able to control water–surface interactions and wettability by changing the size of wall structures [7,8]. Wettability of metals and nanostructures changes the friction of objects, chemical reaction on the surface, and crystallization of proteins [9,10,11,12,13,14,15]. Mirco-nanosurface is also expected to be used as a highly efficient heat transport device. In case of the condensation heat transfer, micro-nanostructure of a condensation surface is quite essential for achieving a high heat transfer [16]. The condensation growth morphology depends on micro-nanoscale surface topography [17,18]. Also, the condensation form, filmwise and dropwise condensation, is controlled by the surface structures [19,20]. For this reason, the impact of surface structure and wettability on the condensation characteristics has been experimentally investigated [21,22,23,24,25,26,27,28,29]. However, it is still difficult to observe the initial stage of liquid condensation on nanoscale surfaces directly and analyze the mechanism of the observed phenomena using experimental methods alone. Wettability is affected not only by the shape and size of asperities but also the molecular scale crystal structure of materials [30,31]. Therefore, detailed observations at the atomic scale are required to understand the mechanism of condensation on nanoscale structures.
Analysis using a molecular simulation is one way to elucidate such nanoscale phenomena [32,33]. In previous studies, wettability and the contact angle of droplets with nanoscale surfaces were analyzed using molecular dynamics simulations [6,34,35]. They demonstrated that the Wenzel state [36] and Cassie-Baxter state [37] can be observed depending on the size and spacing of nanostructures, as well as parameters of the molecular interactions between water and surface molecules. The schematic diagrams of the Wenzel state and Cassie-Baxter state are shown in Figure 1. Larger adsorption energy between a wall and water puts the former in the Wenzel state. Also, the smaller the height of a structure, the lower the gap between its wall and droplets, which puts the structure in the Wenzel state [34]. While molecular dynamics calculations have been performed for droplets on nanosurfaces, there are not enough studies focusing on condensation, except only a few investigating condensations on nanostructures under limited conditions [38,39]. These latter studies analyzed the temperature change during condensation and heat flux on surfaces. In the condensation heat transfer on wall surfaces, the size of the structure, material, and water–solid interaction are considered to play an important role. Widely analyzing the size of structures and their interaction with water is essential for understanding the micro- and nanostructure effects on water condensation. Therefore, in this study, we performed a molecular dynamics simulation to reveal the condensation mechanism of water droplets from vapor on nanoscale structures. In addition, we analyzed the contact angles in the static state in relation to the condensation types. The wall–water interaction parameter was changed in the range of hydrophilic to hydrophobic region.

2. Computational Methods

We performed a molecular dynamics simulation to analyze the effect of the surface structure on the water wettability and condensation process. Coulombic and van der Waals interactions were treated as the intermolecular interactions. The TIP4P model [40], which is the four-site model, was employed as a water molecule model and the Lennard-Jones particle was used as the wall surface. To investigate the effect of adhesion force of wall on the wetting and condensation, the parameter ε was changed as shown in Table 1, ε = 19.74 kJ/mol (hydrophilic) to 0.06168 kJ/mol (hydrophobic). This approach that changes the ε parameter is similar to the previous molecular dynamics simulation in graphene [35]. The molecular size parameter was set to σ = 0.233 nm, the distance at which the intermolecular potential between the two particles is zero. The LJ parameter ε = 19.74 kJ/mol, the upper value of ε, and σ = 0.233 nm are same values used for copper, a typical hydrophilic metal [27]. The cutoff radius for the van der Waals interaction was 1.3 nm, and timestep was set to 2.0 fs. The Ewald method was employed for the calculation of Coulombic interaction. The calculation was performed using GROMACS [41,42]. The simulation was performed under constant number of molecules, volume, and temperature (NVT). The temperature was controlled by Nose–Hoover thermostat [43,44].
Three patterns of a nanostructure with different heights and a flat surface were employed as the microfabricated surface as shown in Figure 2. The heights of the nanostructure were set as multiples of the length of the lattice constant of fcc copper 0.362 nm (0.724 nm, 1.448 nm, and 2.896 nm, respectively). The surface wall was a 10 nm square, 1.448 nm in thickness, under periodic boundary condition. The length of the height direction of the simulation box was 50 nm.
The contact angle of droplets deposited on the wall was measured using the half-angle method [45]. The schematic figure of the determination of contact angle θ on the nanosurface in this study is illustrated as Figure 3. The contact angle was determined as the angle of the line from the triple phase point to the apex of the drop and the line of the top of the wall. In the initial state of the simulation, a droplet was placed 0.5 nm from the wall and its natural adsorption on the wall was analyzed. To understand the effect of the size of the droplet on the wall, two diameters of the droplet, about 5 nm (2259 water molecules) and about 6 nm (3787 water molecules) were explored. The contact angle was calculated after 4 ns to reach the equilibrium at 300 K.
The condensation process of water vapor on the nanostructured surface was calculated by 5 ns simulation under 300 K. The initial structure of the calculation was prepared by the 2 ns calculation under 600 K for 2259 water molecules on the surface as shown in Figure 4. We changed the LJ potential parameter ε in three patterns, 19.74 kJ/mol, 1.974 kJ/mol, 0.06168 kJ/mol. Three calculations were performed for each condition to obtain average values.

3. Results and Discussions

Figure 5 and Table 2 and Table 3 show the calculated contact angles when the droplets with sizes of 5 nm and 6 nm were on the wall surface. Both contact angle dependence on the water–wall interaction and height of pillar showed similar trends with the previous study on graphene [35]. In Table 2 and Table 3, the numbers on the gray background correspond to the Wenzel state, the numbers without any background represent the Cassie-Baxter state, while no number means no droplet. The contact angle was determined as the angle at the top of the surface of asperity. The part where the angle could not be calculated corresponds to the area where the solid–liquid part was not formed stably because the liquid spread over the entire surface. Figure 6 shows a snapshot of the case, where water molecules spread into a film and the contact angle could not be determined on the plane of ε = 19.74 kJ/mol. When the adsorption force of the wall was large, water spread into a film on both the flat and uneven surfaces. Even when there was unevenness, water adhered to the available contact area and did not form droplets. The process of forming such a liquid film is consistent with previous molecular simulations on copper surfaces [39]. This behavior is similar to that of macroscopic films spread thinly when droplets are adsorbed on a hydrophilic surface [46,47]. Two layers of water molecules were found on the surface in the case of a film formed by 5 nm droplets on the flat surface. The hydrophilic surface adsorbed water molecules and aligned them. The boundary ε for the wetting state changing from Wenzel to Cassie-Baxter was 1.974 or 0.9869 kJ/mol, depending on the pillar height. There was no difference in the size of the droplets.
Figure 7 shows the change in the wetting state when asperity changed for a wall adsorption force of ε = 3.948 kJ/mol and a droplet with a diameter of 6 nm. While the liquid spreads over the whole plane on a flat wall, the Wenzel state is manifested by adding unevenness. Similarly, Figure 8 shows how the Wenzel and Cassie states are switched depending on the size of unevenness for the wall adsorption energy ε = 0.9869 kJ/mol. Overall, the contact angles were increased by the nanostructures by about 10° to 40°. The contact angle tended to increase with asperity and as the interaction between water molecules and the wall surface decreased. It was also possible to estimate how the liquid film, Wenzel state, and Cassie state changed depending on the surface adsorption force and nanoscale unevenness size when droplets adhered to the solid surface.
Figure 9, Figure 10 and Figure 11 show the appearance of the convex surface in the case of ε = 19.74 kJ/mol, 1.974 kJ/mol, and 0.06168 kJ/mol. These parameters correspond to the liquid film, Wenzel state, and Cassie-Baxter state, respectively, in the calculation of the water droplets. When water molecules cooled down, both condensation near the surface and in the vapor could be observed. Figure 9 shows the snapshot of condensation with a strong water–surface interaction. Condensed water molecules formed a liquid film and uniformly attached to the inner wall of asperities. The surface of the hydrophilic nanostructure was wet in the initial stage of the condensation process. In addition, the small water droplets formed in the water vapor were observed to be absorbed into the asperity surface. Figure 12 shows the absorption behavior of water droplets intruding into the inside of asperities. It was found that the time scale of droplet adsorption is several tens to hundreds of ps. In such a hydrophilic nanostructure, water molecules spreading thinly inside asperities formed an orderly structure different from a bulk liquid. Figure 13 illustrates a snapshot of the two-dimensional structure of water observed in the nanostructured surface. This type of ordered structure is unique to confined systems such as inside nanotubes and graphene plates [48,49]. These results indicate that water molecules in nanostructured hydrophilic metal surfaces form unusual phase structures similar to other confined systems. Figure 10 demonstrates condensation of water on a wall with a low interaction level. When the interaction level became smaller, smaller droplets gradually attached to the solid surface but were not uniformly spread. Several droplets formed and gradually integrated. Figure 11 demonstrates the case of condensation on a hydrophobic surface with a very small interaction level. Even when a small number of water molecules formed a few clusters within the asperity, they gradually discharged to the outside of the asperity. In the end, almost no water molecules were left inside the asperities, and the droplets were attached to the surface.
Figure 14 shows the average number of water molecules inside the surface nanostructure for each case. The number of water molecules was increased for the cases of ε = 19.74 kJ/mol and ε = 1.974 kJ/mol by adsorption on the surface. For the first 1 ns, isolated water molecules near the surface adsorbed on the nanostructures continuously. After 1 ns, the increase in the number of water molecules showed jumps due to the adsorption of water droplet formed in the vapor phase. On the other hand, the number of water molecules was decreased in the case of ε = 0.06168 kJ/mol. After 1 ns, a small number of water molecules was trapped in the nanostructure. Figure 15 shows the mean square displacement (MSD) of the water molecules in the nanostructure. The MSD of the case of ε = 19.74 kJ/mol and ε = 1.974 kJ/mol is small because the water molecules on the surface were almost fixed or restricted in the droplet. The MSD for the case of ε = 0.06168 kJ/mol is much larger than the others. The small number of water molecules trapped in the nanostructure moved quickly on the surface.
As demonstrated here, the three types of condensation behavior—film, droplet, and discharge—appeared according to the difference in the strength of the surface interaction. In particular, when the adsorptive force was large, as is the case with copper, water molecules aggregated on the surface of the asperity and prepared a water film. The differences in the condensation behavior affected the condensation speed and diffusion of water molecules on the surface.

4. Conclusions

The impact of the wall nanostructure and adsorption force on the contact angle of droplets and condensation was analyzed using molecular dynamics simulation. As a result, the dependence of the contact angle and condensation behavior on the microfabrication shape and size of the wall was revealed. As the condensation behavior, the liquid film formation, droplet adsorption in the structure, and droplet discharge process were observed. The water molecules adsorbed on the surfaces showed little diffusion in the case of ε = 19.74 kJ/mol and ε = 1.974 kJ/mol. In addition, a two-dimensional structure of water molecules spread into the fine structure was observed.

Author Contributions

Conceptualization, M.H.; Investigation, M.H. and M.E.; Supervision, A.K. and S.I.; Writing original draft, M.H.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Biró, L.P.; Nemes-Incze, P.; Lambin, P. Graphene: Nanoscale processing and recent applications. Nanoscale 2011, 4, 1824–1839. [Google Scholar]
  2. Tan, X.; Tao, Z.; Yu, M.; Wu, H.; Li, H. Anti-Reflectance Optimization of Secondary Nanostructured Black Silicon Grown on Micro-Structured Arrays. Micromachines 2018, 9, 385. [Google Scholar] [CrossRef] [PubMed]
  3. Meng, J.; Dong, X.; Zhao, Y.; Xu, R.; Bai, X.; Zhou, H. Fabrication of a Low Adhesive Superhydrophobic Surface on Ti6Al4V Alloys Using TiO2/Ni Composite Electrodeposition. Micromachines 2019, 10, 121. [Google Scholar] [CrossRef] [PubMed]
  4. Yoshimitsu, Z.; Nakajima, A.; Watanabe, T.; Hashimoto, K. Effects of Surface Structure on the Hydrophobicity and Sliding Behavior of Water Droplets. Langmuir 2002, 18, 5818–5822. [Google Scholar] [CrossRef]
  5. Wang, J.; Liu, M.; Ma, R.; Wang, Q.; Jiang, L. In Situ Wetting State Transition on Micro- and Nanostructured Surfaces at High Temperature. ACS Appl. Mater. Interfaces 2014, 6, 15198–15208. [Google Scholar] [CrossRef]
  6. Chen, S.; Wang, J.; Chen, D. States of a Water Droplet on Nanostructured Surfaces. J. Phys. Chem. C 2014, 118, 18529–18536. [Google Scholar] [CrossRef]
  7. Yong, X.; Zhang, L.T. Nanoscale Wetting on Groove-Patterned Surfaces. Langmuir 2009, 25, 5045–5053. [Google Scholar] [CrossRef]
  8. Introzzi, L.; Fuentes-Alventosa, J.M.; Cozzolino, C.A.; Trabattoni, S.; Tavazzi, S.; Bianchi, C.L.; Schiraldi, A.; Piergiovanni, L.; Farris, S. “Wetting Enhancer” Pullulan Coating for Antifog Packaging Applications. ACS Appl. Mater. Interfaces 2012, 4, 3692–3700. [Google Scholar] [CrossRef]
  9. Ho, T.A.; Papavassiliou, D.V.; Lee, L.L.; Striolo, A. Liquid water can slip on a hydrophilic surface. Proc. Natl. Acad. Sci. USA 2011, 108, 16170–16175. [Google Scholar] [CrossRef] [Green Version]
  10. Wang, C.; Wen, B.; Tu, Y.; Wan, R.; Fang, H. Friction Reduction at a Superhydrophilic Surface: Role of Ordered Water. J. Phys. Chem. C 2015, 119, 11679–11684. [Google Scholar] [CrossRef]
  11. Tocci, G.; Joly, L.; Michaelides, A. Friction of Water on Graphene and Hexagonal Boron Nitride from ab initio Methods: Very Different Slippage Despite Very Similar Interface Structures. Nano Lett. 2015, 14, 6872–6877. [Google Scholar] [CrossRef] [PubMed]
  12. Lu, P.; Liu, X.; Zhang, C. Electroosmotic Flow in a Rough Nanochannel with Surface Roughness Characterized by Fractal Cantor. Micromachines 2017, 8, 190. [Google Scholar] [CrossRef]
  13. Gao, W.; Zhang, X.; Han, X.; Shen, C. Role of Solid Wall Properties in the Interface Slip of Liquid in Nanochannels. Micromachines 2018, 9, 663. [Google Scholar] [CrossRef] [PubMed]
  14. Yang, Z.; Shi, B.; Lu, H.; Xiu, P.; Zhou, R. Dewetfting Transitions in the Self-Assembly of Two Amyloidogenic β-Sheets and the Importance of Matching Surfaces. J. Phys. Chem. B 2011, 115, 11137–11144. [Google Scholar] [CrossRef] [PubMed]
  15. Weibel, D.E.; Michels, A.F.; Feil, A.F.; Amaral, L.; Teixeira, S.R.; Horowitz, F. Adjustable Hydrophobicity of Al Substrates by Chemical Surface Functionalization of Nano/Microstructures. J. Phys. Chem. C 2010, 114, 13219–13225. [Google Scholar] [CrossRef]
  16. Miljkovic, N.; Wang, E.N. Condensation heat transfer on superhydrophobic surfaces. MRS Bull. 2013, 38, 397–406. [Google Scholar] [CrossRef]
  17. Miljkovic, N.; Enright, R.; Wang, E.N. Effect of Droplet Morphology on Growth Dynamics and Heat Transfer during Condensation on Superhydrophobic Nanostructured Surfaces. ACS Nano 2012, 6, 1776–1785. [Google Scholar] [CrossRef]
  18. Enright, R.; Miljkovic, N.; Al-Obeidi, A.; Thompson, C.V.; Wang, E. Condensation on Superhydrophobic Surfaces: The Role of Local Energy Barriers and Structure Length Scale. Langmuir 2012, 28, 14424–14432. [Google Scholar] [CrossRef]
  19. Miljkovic, N.; Enright, R.; Nam, Y.; Lopez, K.; Dou, N.; Sack, J.; Wang, E.N. Jumping-Droplet-Enhanced Condensation on Scalable Superhydrophobic Nanostructured Surfaces. Nano Lett. 2013, 13, 179–187. [Google Scholar] [CrossRef]
  20. Hou, Y.; Yu, M.; Chen, X.; Wang, Z.; Yao, S. Recurrent Filmwise and Dropwise Condensation on a Beetle Mimetic Surface. ACS Nano 2015, 9, 71–81. [Google Scholar] [CrossRef]
  21. Erb, R.A. Wettability of Metals under Continuous Condensing Conditions. J. Phys. Chem. 1965, 69, 1306–1309. [Google Scholar] [CrossRef]
  22. Varanasi, K.K.; Hsu, M.; Bhate, N.; Yang, W.; Deng, T. Spatial control in the heterogeneous nucleation of water. Appl. Phys. Lett. 2009, 95, 094101. [Google Scholar]
  23. Boreyko, J.B.; Chen, C.H. Self-Propelled Dropwise Condensate on Superhydrophobic Surfaces. Phys. Rev. Lett. 2009, 103, 184501. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Dietz, C.; Rykaczewski, K.; Fedorov, A.G.; Joshi, Y. Visualization of droplet departure on a superhydrophobic surface and implications to heat transfer enhancement during dropwise condensation. Appl. Phys. Lett. 2010, 978, 033104. [Google Scholar]
  25. Chen, X.; Wu, J.; Ma, R.; Hua, M.; Koratkar, N.; Yao, S.; Wang, Z. Nanograssed Micropyramidal Architectures for Continuous Dropwise Condensation. Adv. Funct. Mater. 2011, 21, 4617–4623. [Google Scholar] [CrossRef]
  26. Cheng, J.; Vandadi, A.; Chen, C.L. Condensation heat transfer on two-tier superhydrophobic surfaces. Appl. Phys. Lett. 2012, 101, 131909. [Google Scholar] [CrossRef]
  27. Lee, S.; Cheng, K.; Palmre, V.; Bhuiya, M.D.M.H.; Kim, K.J.; Zhang, B.J.; Yoon, H. Heat transfer measurement during dropwise condensation using micro/nano-scale porous surface. J. Heat Mass Transf. 2013, 65, 619–626. [Google Scholar] [CrossRef]
  28. Quang, T.S.B.; Leong, F.Y.; An, H.; Tan, B.H.; Ohl, C.D. Growth and wetting of water droplet condensed between micron-sized particles and substrate. Sci. Rep. 2016, 6, 30989. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. He, M.; Ding, Y.; Chen, J.; Song, Y. Spontaneous Uphill Movement and Self-Removal of Condensates on Hierarchical Tower-Like Arrays. ACS Nano 2016, 6, 9456–9462. [Google Scholar] [CrossRef]
  30. Zhu, C.; Li, H.; Huang, Y.; Zeng, X.C.; Meng, S. Microscopic Insight into Surface Wetting: Relations between Interfacial Water Structure and the Underlying Lattice Constant. Phys. Rev. Lett. 2013, 110, 126101. [Google Scholar] [CrossRef] [Green Version]
  31. Xu, Z.; Gao, Y.; Wang, C.; Fang, H. Nanoscale Hydrophilicity on Metal Surfaces at Room Temperature: Coupling Lattice Constants and Crystal Faces. J. Phys. Chem. C 2015, 119, 20409–20415. [Google Scholar] [CrossRef]
  32. Carrasco, J.; Hodgson, A.; Michaelides, A. A molecular perspective of water at metal interfaces. Nat. Matt 2012, 11, 667. [Google Scholar]
  33. Van Vreumingen, D.; Tewari, S.; Verbeek, F.; van Ruitenbeek, J.M. Towards Controlled Single-Molecule Manipulation Using “Real-Time” Molecular Dynamics Simulation: A GPU Implementation. Micromachines 2018, 9, 270. [Google Scholar] [CrossRef] [PubMed]
  34. Koishi, T.; Yasuoka, K.; Fujikawa, S.; Ebisuzaki, T.; Cheng, X. Coexistence and transition between Cassie and Wenzel state on pillared hydrophobic surface. Proc. Natl. Acad. Sci. USA 2009, 206, 8435–8440. [Google Scholar] [CrossRef] [PubMed]
  35. Koishi, T.; Yasuoka, K.; Zeng, X.C. Molecular dynamics simulation of water nanodroplet bounce back from flat and nanopillared surface. Langmuir 2017, 33, 10184–10192. [Google Scholar] [CrossRef]
  36. Wenzel, R.N. Resistance of Solid Surfaces to Wetting by Water. Ind. Eng. Chem. 1936, 28, 988–994. [Google Scholar] [CrossRef]
  37. Cassie, A.B.D.; Baxter, S. Wettability of Porous Surfaces. Trans. Faraday Soc. 1944, 40, 546–551. [Google Scholar] [CrossRef]
  38. Niu, D.; Tang, G.H. The effect of surface wettability on water vapor condensation in nanoscale. Sci. Rep. 2016, 67, 19192. [Google Scholar] [CrossRef]
  39. Gao, S.; Liao, Q.; Liu, W.; Liu, Z. Effects of solid fraction on droplet wetting and vapor condensation: A molecular dynamic simulation study. Langmuir 2017, 33, 12379–12388. [Google Scholar] [CrossRef]
  40. Jorgensen, W.L.; Chandrasekhar, J.; Madura, J.D.; Impey, R.W.; Klein, M.L. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 1983, 79, 926–935. [Google Scholar] [CrossRef]
  41. Spoel, D.V.D.; Lindahl, E.; Hess, B.; Groenhof, G.; Mark, A.E.; Berendsen, H.J.C. GROMACS: Fast, flexible, and free. J. Comp. Chem. 2005, 26, 1701–1718. [Google Scholar] [CrossRef] [PubMed]
  42. Hess, B.; Kutzner, C.; van der Spoel, D.; Lindahl, E. GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation. J. Chem. Theory Comput. 2008, 4, 435–447. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Nosé, S. A unified formulation of the constant temperature molecular-dynamics methods. J. Chem. Phys. 1984, 81, 511–519. [Google Scholar] [CrossRef]
  44. Hoover, W.G. Canonical dynamics: Equilibrium phase-space distributions. Phys. Rev. A 1985, 31, 1695–1697. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Gu, H.; Wang, C.; Gong, S.; Mei, Y.; Li, H.; Ma, W. Investigation on contact angle measurement methods and wettability transition of porous surfaces. Surf. Coat. Technol. 2016, 292, 72–77. [Google Scholar] [CrossRef]
  46. Wang, C.; Lu, H.; Wang, Z.; Xiu, P.; Zhou, B.; Zuo, G.; Wan, R.; Hu, J.; Fang, H. Stable Liquid Water Droplet on a Water Monolayer Formed at Room Temperature on Ionic Model Substrates. Phys. Rev. Lett. 2009, 103, 137801. [Google Scholar] [CrossRef]
  47. Yuan, Q.; Zhao, Y.P. Precursor Film in Dynamic Wetting, Electrowetting, and Electro-Elasto-Capillarity. Phys. Rev. Lett. 2010, 104, 246101. [Google Scholar] [CrossRef] [PubMed]
  48. Zhu, Y.; Wang, F.; Bai, J.; Xeng, X.C.; Wu, H. Compression Limit of Two-Dimensional Water Constrained in Graphene Nanocapillaries. ACS Nano 2015, 9, 12197–12204. [Google Scholar] [CrossRef]
  49. Gao, Z.; Giovambattista, N.; Sahin, O. Phase Diagram of Water Confined by Graphene. Sci. Rep. 2018, 8, 6228. [Google Scholar] [CrossRef]
Figure 1. Schematic diagrams of Wenzel state and Cassie-Baxter state.
Figure 1. Schematic diagrams of Wenzel state and Cassie-Baxter state.
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Figure 2. Prepared surface structure. (flat, asperity height 0.724 nm, asperity height 1.448 nm, and asperity height 2.896 nm).
Figure 2. Prepared surface structure. (flat, asperity height 0.724 nm, asperity height 1.448 nm, and asperity height 2.896 nm).
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Figure 3. Schematic diagram of contact angle θ measurement on nanostructures by half angle method.
Figure 3. Schematic diagram of contact angle θ measurement on nanostructures by half angle method.
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Figure 4. Snapshot of water vapor and nanostructure prepared as the initial condition of the condensation simulation.
Figure 4. Snapshot of water vapor and nanostructure prepared as the initial condition of the condensation simulation.
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Figure 5. Relation between the water–wall interaction and the contact angle. The surface with asperity resulted in the increase of the contact angle.
Figure 5. Relation between the water–wall interaction and the contact angle. The surface with asperity resulted in the increase of the contact angle.
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Figure 6. Snapshot of the water film on the flat and nanostructured surfaces with the Lennard-Jones parameter ε = 19.74 kJ/mol (the left upper: 2259 water molecules, others: 3787 water molecules).
Figure 6. Snapshot of the water film on the flat and nanostructured surfaces with the Lennard-Jones parameter ε = 19.74 kJ/mol (the left upper: 2259 water molecules, others: 3787 water molecules).
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Figure 7. Droplets on nanostructures with ε = 3.948 kJ/mol.
Figure 7. Droplets on nanostructures with ε = 3.948 kJ/mol.
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Figure 8. Droplets on nanostructures with ε = 0.9869 kJ/mol.
Figure 8. Droplets on nanostructures with ε = 0.9869 kJ/mol.
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Figure 9. Snapshot of water molecules during the condensation on the ε = 19.74. kJ/mol surface from the different viewpoints. The water molecules are adsorbed into the pillar and formed water film.
Figure 9. Snapshot of water molecules during the condensation on the ε = 19.74. kJ/mol surface from the different viewpoints. The water molecules are adsorbed into the pillar and formed water film.
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Figure 10. Snapshot of water molecules during the condensation on the ε = 1.974. kJ/mol surface from the different viewpoints. The water molecules formed small clusters in the pillar.
Figure 10. Snapshot of water molecules during the condensation on the ε = 1.974. kJ/mol surface from the different viewpoints. The water molecules formed small clusters in the pillar.
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Figure 11. Snapshot of water molecules during the condensation on the ε = 0.06168. kJ/mol surface from the different viewpoints. The water droplet did not enter the nanostructure.
Figure 11. Snapshot of water molecules during the condensation on the ε = 0.06168. kJ/mol surface from the different viewpoints. The water droplet did not enter the nanostructure.
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Figure 12. Absorption behavior of water droplets intruding into the inside of asperities with ε = 1.976 kJ/mol. (0 s, 35 ps, 90 ps, 350 ps).
Figure 12. Absorption behavior of water droplets intruding into the inside of asperities with ε = 1.976 kJ/mol. (0 s, 35 ps, 90 ps, 350 ps).
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Figure 13. Snapshot of the two-dimensional structure of water observed in a nanostructured surface with ε = 19.74. kJ/mol.
Figure 13. Snapshot of the two-dimensional structure of water observed in a nanostructured surface with ε = 19.74. kJ/mol.
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Figure 14. Number of water molecules in the nanostructure on surfaces.
Figure 14. Number of water molecules in the nanostructure on surfaces.
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Figure 15. Mean square displacement (MSD) of water molecules in the nanostructure on surfaces.
Figure 15. Mean square displacement (MSD) of water molecules in the nanostructure on surfaces.
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Table 1. The parameters of ε in the calculation. The ε = 19.74 kJ/mol is the case of copper.
Table 1. The parameters of ε in the calculation. The ε = 19.74 kJ/mol is the case of copper.
Ratioε (kJ/mol)
1.019.74
0.917.76
0.815.79
0.713.82
0.611.84
0.59.869
0.47.895
0.35.921
0.23.948
0.11.974
1/200.9869
1/400.4935
1/800.2467
1/1600.1234
1/3200.06168
Table 2. Contact angle and wetting state of 5-nm droplets on each surface. The numbers on the gray background correspond to the Wenzel state, whereas the numbers without background correspond to the Cassie state.
Table 2. Contact angle and wetting state of 5-nm droplets on each surface. The numbers on the gray background correspond to the Wenzel state, whereas the numbers without background correspond to the Cassie state.
ε (kJ/mol)Flat0.724 nm1.448 nm2.896 nm
19.74-10.6--
17.76-8.1--
15.79-10.0--
13.82-7.5--
11.84-11.8--
9.869-7.0--
7.895-15.816.7-
5.921-18.521.125.3
3.94826.539.034.337.2
1.97485.499.799.974.4
0.9869108.8120.0143.4137.5
0.4935124.4157.1153.7151.8
0.2467143.3167.0162.0171.3
0.1234139.6170.5171.9171.4
0.06168153.0174.5174.6170.5
Table 3. Contact angle and wetting state of 6-nm droplets on each surface. The numbers on the gray background correspond to the Wenzel state, whereas the numbers without background correspond to the Cassie state.
Table 3. Contact angle and wetting state of 6-nm droplets on each surface. The numbers on the gray background correspond to the Wenzel state, whereas the numbers without background correspond to the Cassie state.
ε (kJ/mol)Flat0.724 nm1.448 nm2.896 nm
19.74----
17.76----
15.79----
13.82----
11.84----
9.869--10.9-
7.895--12.3-
5.921--18.127.4
3.948-44.059.636.0
1.97482.695.087.383.8
0.9869103.2124.1130.6140.3
0.4935124.6144.1148.2145.9
0.2467143.7170.1161.8153.0
0.1234146.3168.5167.5163.7
0.06168152.1173.2170.3170.7

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Hiratsuka, M.; Emoto, M.; Konno, A.; Ito, S. Molecular Dynamics Simulation of the Influence of Nanoscale Structure on Water Wetting and Condensation. Micromachines 2019, 10, 587. https://doi.org/10.3390/mi10090587

AMA Style

Hiratsuka M, Emoto M, Konno A, Ito S. Molecular Dynamics Simulation of the Influence of Nanoscale Structure on Water Wetting and Condensation. Micromachines. 2019; 10(9):587. https://doi.org/10.3390/mi10090587

Chicago/Turabian Style

Hiratsuka, Masaki, Motoki Emoto, Akihisa Konno, and Shinichiro Ito. 2019. "Molecular Dynamics Simulation of the Influence of Nanoscale Structure on Water Wetting and Condensation" Micromachines 10, no. 9: 587. https://doi.org/10.3390/mi10090587

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