WETTING TRANSITIONS IN ALKANE-WATER NANODROPLETS G. WILEMSKI1, F. HRAHSHEH1,2 and P. NEUPANE1 1 Department of Physics, Missouri University of Science and Technology, Rolla, Missouri, 65409, United States. 2 Department of Physics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. Keywords: Nanodroplets, Wetting, Droplet Morphology, MD Simulations. INTRODUCTION Interest in the morphology of liquid-liquid phase separated aerosol droplets has grown considerably of late. Qiu and Molinero, (2015) present of large list of experimental and theoretical investigations that have helped to advance our understanding of this subject. Most of these prior investigations have focused on the effects of droplet composition and relative humidity on droplet morphology at a single temperature. In contrast, our efforts have used molecular dynamics simulations to study the temperature dependent wetting behavior of nonane-water nanodroplets and its influence on droplet structure. We use the SPC/E water model and a unified atom 6-12 Lennard-Jones (LJ) model for alkanes. Water-alkane interactions are treated using a LJ potential with energy and size parameters adjusted to reproduce experimentally observed wetting behavior for nonane at 295 K. For reasonable values of the LJ parameters, core-shell structures of nonane-water nanodroplets are observed at low temperatures, T < 235 K, indicating that nonane perfectly wets supercooled SPC/E water with a zero contact angle at low temperatures. At higher T, imperfect wetting is found as a nonane lens forms on the water drop with a finite, non-zero contact angle yielding a partially engulfed Russian Doll structure. We also studied planar alkane-water interfaces. For these systems, our simulation results are consistent with the occurrence of low temperature and high temperature wetting transitions. Within the imperfect wetting region at low temperature, the contact angle formed by alkanes on water initially increases with temperature until a maximum dewetting temperature (MDT) is reached. Beyond the MDT, the contact angle decreases as the system approaches the usual high temperature wetting transition. COMPUTATIONAL MODELS AND METHODS All simulations were performed with either the GROMACS (Berendsen et al., 1995; Hess et al., 2008) or LAMMPS (Plimpton, 1995) molecular dynamics simulation packages. Long time simulations of 10-50 ns were carried out using the (NVT) canonical ensemble with periodic boundary conditions and a time step of 2 fs. The Nosé-Hoover algorithms (Nosé, 1984a, 1984b; Hoover, 1985) were used to control the system temperature with a coupling time constant of 0.2 ps. Water was treated with the SPC/E potential (Berendsen et al., 1987) Methyl and methylene groups of the alkanes were treated in the united atom approximation. All short-range intermolecular interactions were handled with Lennard-Jones (LJ) potentials with a cut-off radius of 1.5 nm. The long-range coulomb interaction between water molecules was also cut-off at 1.5 nm. Both of the short-range and long-range interactions were handled with twinrange cutoffs and the neighbor list was updated every fifth time step (10 fs). For the alkane models, we used force field parameters from Yi and Rutledge (2009). In our earlier work (Hrahsheh and Wilemski, 2013), we used the geometric mean combining rule to determine the LJ parameters (ε,σ) between unlike atoms, but these values produced much larger contact angles for nonane drops on water compared to thermodynamic estimates using the best measured values for the nonane-water interfacial tension (Goebel and Lunkenheimer, 1997). Because our simulated surface tensions for pure water and nonane are systematically somewhat lower than the experimental values, we chose to adjust the (ε,σ) values not to fit the measured nonane-water interfacial tension, but rather to approximate the spreading coefficient S for nonane (N) on water (W). The spreading coefficient is defined as the following difference of interfacial tensions γ, S = γW – (γN + γNW). While adjusting the (ε,σ) values, we discovered that the simulated contact angles were rather sensitive to small changes in either parameter. A similar observation has been reported by Qiu and Molinero (2015). In addition to the nanodroplet simulations, we also performed many simulations of alkane-water planar interfaces. Two types of planar simulation systems were used: (1) liquid (alkane or water) slab inserted in vapor and (2) a slab of water sandwiched between a pair of identical alkane slabs surrounded by vapor. From these simulations, the interfacial tensions for liquidvapor and liquid-liquid interfaces could be determined. These values could then be used with the rigorous thermodynamic formula, (Rowlinson and Widom, 1982) cos 𝜗 = 2 2 𝛾𝑊 − (𝛾𝑁2 + 𝛾𝑁𝑊 ) 2𝛾𝑁 𝛾𝑁𝑊 to calculate the contact angle 𝜗. Similar values of 𝜗 would also be obtained from the simpler Young’s equation, as shown by Qiu and Molinero (2015). RESULTS AND CONCLUSIONS Nonane-water nanodroplets containing 1000 water molecules and 500 nonane molecules were simulated at T = 230 K and 295 K using the adjusted cross interaction parameters ε = 0.65 kJ/mol and σ = 0.362 nm. For comparison, the values used in our earlier simulations were ε = 0.55 kJ/mol and σ = 0.359 nm. Snapshots of cross-sections of the simulated nanodroplets are shown in Fig. 1. The low temperature droplet clearly has a core-shell structure indicative of perfect wetting with a contact angle of 0o. In contrast, the higher temperature droplet has assumed a Russian doll structure characteristic of imperfect wetting. The nonane lens has a nonzero contact angle on water. Figure 1. Cross-sectional snapshots of simulated water (blue) and nonane (yellow) nanodroplets at T =230 K (left) and T = 295 K (right). The core-shell structure is evident on the left, while the warmer droplet on the right has a Russian doll structure characteristic of imperfect wetting. The occurrence of perfect wetting at low temperatures is consistent with the unusual behavior found previously by Hrahsheh and Wilemski (2013) in which 𝜗 increased with T. We explored this further by calculating 𝜗 from interfacial tensions obtained from simulations of planar bulk interfaces using cross interaction parameters ε = 0.65 kJ/mol and σ = 0.359 nm. The results obtained so far for nonane and water are shown in Figure 2. Figure 2. Temperature dependence of the nonane-water contact angle found from MD simulations of planar bulk interfaces. Two sets of results are shown: The older results of Hrahsheh were found using GROMACS; the newer results of Neupane (with error bars) were obtained with LAMMPS. The two sets are in good agreement. The solid line is based on fits to the simulated interfacial tensions. Calculated contact angles are quite sensitive to small fluctuations in the simulated values of the interfacial tensions. To reduce this sensitivity, we also calculated 𝜗 using fits to the simulated interfacial tensions. This results in a much smoother variation of 𝜗 with T, as can be seen in Figure 2. Using the fitted surface tensions, the calculated contact angles show that both an upper and lower wetting transition temperature occurs for the nonane-water and octane-water (not shown here) systems. In contrast to conventional expectations, the simulated contact angles formed by octane and nonane on water at low temperature (T≈250K) tend to increase with temperature until reaching a maximum dewetting temperature (MDT). Similar behavior was observed in nonane-water nanodroplet simulations but only at low T (< 300) where droplet simulations can be performed. For the planar systems, after the MDT is passed, the contact angle decreases, as expected, until perfect wetting is achieved at a higher temperature. Although lower wetting transition temperatures have been reported for partially miscible liquids with lower consolute points, the presence of a low-T wetting transition in the essentially immiscible alkane-water systems is highly unusual and has not been reported before. 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