On Modulating Interfacial Structure towards Improved Anti-Icing Performance

The design of anti-icing surfaces presents an interface with high causal density that has been challenging to quantify in terms of individual contributions of various interactions and environmental factors. In this commentary, we highlight the role of interfacial water structure as uniquely expressing the physico-chemical aspects of ice accretion. Recent work on the topic that focuses on control of interfacial structure is discussed along with results by our research group on wettability of chemically modified surfaces and the role of ions in modulating interfacial structure. Suggestions for systematic studies to understand the fundamental interactions at play in ice adhesion at interfaces are made especially in the under-explored areas of cooperative hydrogen bonding and the role of solvated counterions. Insights expected from such studies would contribute to design of robust anti-icing hierarchies.


Introduction
Understanding of ice nucleation mechanisms and their application to anti-icing solutions have been long-standing topics of scientific interest [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18], with special focus on the area in the last decade .As characterization methods and theoretical models have become more probative and computationally feasible, the surface science community has intensified efforts towards mitigating the major issue of icing on material surfaces.Innovative material design for improved anti-icing effectiveness has implications for improvement in safety and efficiency in a number of systems such as wind turbines, power transmission lines, and aircraft wings.As case examples, for wind turbines, ice accretion decreases the energy output while being a danger to people in the proximity of operation [94,95]; for power lines, approximately 3% are replaced each year due to degradation caused by heavy icing [96,97]; and for aircraft wings even thin layers of ice are a major safety hazard [98,99].

Nucleation Mechanisms
The classical theory of Turnbull, Vonnegut, and Fletcher [129] has been used as a basis for examining heterogeneous ice nucleation on surfaces with varying wettability and phobicity [35,69] towards creating a thermodynamic framework that can lead to rational design of surfaces with freezing delays [130,131].Figure 2A shows possible modes of freezing, homogeneous and heterogeneous, for an ideal water droplet.Environmental factors, such as evaporation, and presence of contaminants would play a role in homogeneous ice nucleation [6], direct computation of the rates of which have been attempted through coarse-grained models [87].On flat, solid surfaces using a closed cell and accounting for the effects of evaporation and condensation, normalized rate of ice nucleation was found to be an order of magnitude higher for hydrophobic surfaces (Figure 2B).

Roughness and Wettability
From the observations above, it is apparent that one approach to decrease ice-adhesion would be to tune surface energy and roughness.Figure 3A is a computational analysis of the feasibility of this approach, using supercomputer based molecular dynamics (MD) simulations, wherein hydrophobicity is seen to suppress heterogeneous ice nucleation rates.However, if homogeneous nucleation occurs, and is self-propagating, then the effect of the surface would not be the determinant in preventing ice-adhesion.Figure 3B shows an increase in wettability with decrease in temperature, pointing to condensation being a limiting factor.The condensation of droplets, and the resultant frosting, leads to lack of robustness of superhydrophobic solutions to anti-icing.Robust anti-icing solutions are needed for both dynamic (aircraft wings) and static (power lines) applications [21].The effect of surface energy and roughness on adhesion has been studied by various groups [46,56,70,73,132,133], with varying conclusions.Campbell et al. [133] found experimentally insignificant dependence of nucleation of supercooled water droplets on surface roughness, for glass, silicion and mica surfaces.They attribute this effect to a liquid intermediate that aids vapor deposition.Fu et al. [46] carried a systematic study on sol-gel coatings with varying surface energies and roughness, shown in Figure 4A.As the amount of fluoroalkylsilane (FAS) weight% increases from 8% to 12%, there is a Wenzel to Cassie transition, which was shown in a large jump in measured contact angles from 110.3 • for F-8 to 153.9 • and 163.5 • for F-12 and F-16, respectively.For formulations without FAS (M-x series, with silica nanoparticles), there is no such transition.The nucleation rates are two orders of magnitude higher for F-16, while all the M-x samples cluster together (Figure 4B,C).The authors hypothesize the nucleation behavior as occurring at the water-air-substrate contact line.Differences in test protocols, including size of droplets, surface microstructure, and environmental controls make it difficult to compare results from different research groups.

Substrate Composition
Early work by Petrenko et al. [12,134] utilized change in surface chemical composition through use of self-assembled monolayers to decrease ice-adhesion.It can be seen in Figure 5 that increase in the degree of H-bonding would increase adhesion to the surface.Modulated hydrogen bonds, for control of interfacial structures that aid or impede ice nucleation, remains an under-explored area of design.It should be noted that the wettability, in large part, depends on near-surface chemical group density [111][112][113][114]135].Understanding the fundamental interactions at chemically modified surfaces would allow design of interfaces critical to the development of the next generation of anti-icing solutions.It is to be noted that changes in near-surface concentration can occur not only through deposition of functional monolayers or surface oxidation of the substrate, but also through approaches that are more subtle, such as conformation of functional groups on the polymer backbone.For example, we have explored near-surface concentration as a function of stereoregularity (viz.tacticity) for a common polymer (PMMA) [136][137][138].In cases where information on buried interfaces is needed for functional design, validated models would provide understanding of the role of various interactions in behaviors such as modulation of hydrogen bond networks and orientation profiles that would be challenging to obtain empirically.Our work on self-assembled monolayers [139] shows disruption of network by wetting that is in contrast to disruption through high temperature annealing (non symmetric response by wetting displayed in Figure 6).Examination of tilt angles, extending from surface bound sulphur to the end-terminal oxygens shows a zig-zag network for hydroxyl terminated n-alkanethiols.
The displayed H-bond contours from our simulation are very sensitive to external stimuli such as wetting and heating, exhibiting quantification of response unobtainable from spectroscopic methods.Since the strength of hydrogen-bond regulates the ice formation, or is at least a key contributor to it, examining the S-O tilt angle profiles for a number of supercooling rates would shed light on the correlation of ice nucleation with functional distribution of chemically modified surfaces (viz.percentage of hydroxylated species; density of end-terminal chemical groups).
Seminal work by Meuler et al. [25] showed that ice adhesion on chemically modified surfaces is almost linearly related to the practical work of adhesion, which is a function of the receding contact angle (Figure 7).Through modification brought by coating with fluorodecyl POSS, the limits on decrease in ice adhesion through chemical composition were reached, and it was argued that any further decreases would occur through changes in surface texture.

Note on Ice Adhesion Measurements
The lack of common protocols and environmental standards for measuring ice-adhesion should serve as a note of caution to the reader when comparing results from different research groups [61].Quantification of ice-adhesion includes measurements for shear, dynamic impact, and adhesion and wear strengths [140][141][142][143][144]. At the surface of a soft polymeric coat, the stress build depends on a number of factors, such as modulus strength of the polymer (K) and thickness of the coat (t) (Figure 8).A number of mechanisms, such as saltwater ice-adhesion [52,145] are not completely understood.Also, the adhesion strength changes markedly after icing/de-icing cycles, which will be discussed in the following section.

Wettability Models
Droplets on surfaces are traditionally described as being in the wettable Wenzel or the non-wettable Cassie-Baxter regime (Figure 9A).On superhydrophobic surfaces, by definition, droplets should be in the Cassie-Baxter state.Wearing down of the surface and infiltration through condensed water eventually would lead to Wenzel states.By careful design of asperities, slippery Wenzel states have recently been demonstrated [147].The geometrical parameters allow for a critical angle of transition, wherein the Wenzel state is more favorable in designed nanotextured surfaces with additional incorporation of oils (Figure 9B).The competing factors in controlling wettability through phobicity are shown in Figure 10.Based on principles of accretion discussed in the preceding section, and the figure below, one innovative approach is to have a lubricating layer close to the substrate that would be enhanced by a hygroscopic component, while also allowing for a hydrophobic component that sheds water [29,40,41,55,148].Antagonistic chemistry and hierarchical design principles are utilized for supehydrophobic, slippery liquid-infused porous substrates, and biomimetic approaches discussed in the subsections that follow.

Supehydrophobic Surfaces
Superhydrophobic surfaces show delayed nucleation which has been hypothesized as a consequence of lower heat transfer from the substrate [20,149].Another contributing mechanism could be the decrease in water-substrate interfacial area, accompanied by an increase in free energy needed for nucleation [141].Figure 11 shows changes of up to two orders of magnitude with differentials in interfacial area.The extreme effect of substrate temperature shown in Figure 11 is further exhibited in experimental measurements of droplet shedding for different wettabilities at a higher temperature range [150].From these observations, one can infer that control in interfacial area of droplet-substrate through surface modification is a relevant factor in the technological design of anti-icing surfaces.The robustness of superhydrophobic surfaces has raised questions per their icephobic efficacy [21,47,110].Kulinich et al. [132] show a clear increase in ice-adhesion for three different samples with contact angles near or in excess of 150 • with increase in number of (icing/de-icing) cycles (Figure 12).Wear of coatings and surfaces leads to transition from an ideal Cassie to a non-desirable Wenzel regime and corresponding increase in surface contact area.In a study comparing all the factors that contribute to an ideal robust icephobic surface, Schutzius et al. posit that a micro-/nano-scale multi-tier texture has the best resistance to droplet impalement as well as ice nucleation [130].
Figure 12.The effect of icing/de-icing cycles on (A) ice adhesion and (B) surface roughness, measured for "artificial" glaze ice for three samples with high contact angles (>150 • ).Reprinted with permission from Ref. [132].c 2011 Elsevier.

Slippery Liquid Infused Porous Surfaces (SLIPS)
In concurrence with the design principle that maintaining a lubricating layer prevents ice adhesion, SLIPS were designed by the Aizenberg group with remarkable roll off properties [30,36].However, as Figure 13 illustrates, non-functional SLIPS after wear may have the additional issue of oil depletion upon frost formation.

Biomimetic Design
Hierarchical approach to biomimetic design has grown beyond the initial lotus-leaf inspiration, to creatures such as tropical frogs that secrete toxins when provoked.Building on a stimuli based approach, the Rykaczewski group [62] formed a bilayer structure with antifreeze reservoir bottom and a superhydrophobic porous top (Figure 14), which leaches the antifreeze on frost formation.A less complex hierarchy of superhydrophilic polyelectrolyte brushes hosting ions is also along the lines of inspiration from natural processes such as cloud and hydrate formation.The "hosted ion" architecture, an under-explored design theme, is able to control ice adhesion through a dispersed ion population with varying results for different ions [153,154].For a Li + ion, the reduction (in ice adhesion) is ca.70% at −10 • C, while for Ag + ion the corresponding reduction is by 80%.It is hypothesized that highly hydrated ions form a quasi-liquid layer (QLL) that impedes ice nucleation.The coordination of ions is directly related to the formation of QLL, with the temperature-thickness dependence a stated empirical challenge [155][156][157][158] that would be aided by a molecular understanding of the QLL structure.A larger hydration shell would correspond to increased order or negative entropy.Using "water structural entropy" as a quantifier of degree of hydration, ∆S struct was found to be −52 J K −1 mol −1 for Li + , and +47 J K −1 mol −1 for K + [159], which correlates well with decreased ice-adhesion for Li + and no effect on ice-adhesion for K + ions in the brushes, especially at −18 • C (Figure 15).While ion coordination affects ice formation, their dissociation is also key to improved anti-icing effect.The dissociation effect can be observed in Figure 15 wherein circles represent higher dissociation for sulfonate groups, and triangles represent lower dissociation for carboxylate groups as part of the brushes with different cations.Further, multivalent ions, even when exhibiting high hydration, change the overall structure of the polyelectrolyte brushes leading to negative effects in anti-icing efficacy.Figure 15 summarizes the ice-adhesion properties for a range of host-guest ion incorporated brushes, and shows the effects of competing factors at play [153].

Role of Interfacial Water
Near-surface concentration is key to the control of phobicity and can be expressed in terms of the structure of interfacial water.We observe in Figure 16A that increase in silanol concentration leads to variance in packing, and increase in ice-like behavior of water.Water structuring, measured through viscosity under confinement, shows increase at different separations (3-8 nm) for different silanol densities [160].For polymeric surfaces, we examined the effect of surface oxidation and found almost a linear dependence of degree of wettability on surface oxidation for atactic Polystyrene (Figure 16B) [161].This is important for many applications in biocompatibility, where the same principles of solvation shells in interfacial water structure, and displacement of proteins with water result in tunable biomacromolecular adhesion [162][163][164].There are distinct design implications of changes in near-surface concentration for amphiphilic anti-icing hierarchies [153] discussed earlier, as also the design and performance of de-icing macromolecules.For example, the surface conformations of ethylene glycol (EG) and its behavior as a hydrogen-bond acceptor which leads to various solvation shells at the EG-water interface and low probability of EG-EG complexation has been noted as key to its anti-icing behavior [102].Such an approach through tunable hydrogen bond coupling allows for programmable surfaces [165], and design of mimetic antifreeze materials based on traditionally employed structures such as PVA [166].
While the role of hydrogen bond in modulating interfacial behavior is to be expected, hydrogen bond interactions are one of the many factors that contribute to final accretion.The relative roles of roughness, supercooling rate, and other non-bond interactions such as van der Waals forces needs quantification for guided design of coatings and hierarchical substrates.Wetting under confinement with varying levels of phobicity would provide such information, and has been the focus of recent studies by our collaborators [167,168].

Quasi Liquid Layer (QLL)
A striking role that interfacial water structure plays is in the formation, geometry and thickness of the quasi-liquid layer [169], the thickness and nature of which is much debated.In Figure 17A we can see the pre-melt layer wetting the interface between substrate and ice.This could serve as a self lubricating layer, if it can be regulated.The ice accretion is often modeled as supercooled water droplets on the substrate [44].At the same time, the nature of the wetting layer would govern, and could be correlated to the ice-adhesion.Disruption of the QLL through charge, pH, and local electric fields would also be possible.This would have an impact on the heterogeneous ice nucleation mechanism for confinement in curvatures shown in Figure 17A.Along these same principles, designed interaction through formation of hydrogen bonds pre-and post-perturbation leads to a self-healing process that can be used for anti-fogging applications (Figure 18C).We also observe that the water structure close to an intrinsically hydrophobic surface such as rare earth metal oxide is much different than alumina (Figure 18A,B).Similar to these design approaches, control of QLL, wherein the water structure, its orientation and hydrogen bond formation can be modified, presents an opportunity for hierarchical design and delayed ice nucleation.

Role of Ions at the Interface
The complex behavior of ions has long been a puzzle for colloidal and protein based behavior at interfaces (Figure 19A) ever since the Hofmeister series was first proposed [172], and the various physico-chemical aspects are still not completely understood [173,174].While anions have the stronger impact in the behaviors listed in Figure 19A, counter-ion solvation also leads to differentials in biomacromolecular adsorption (Figure 19B) which can be expressed in terms of adsorption energies, conformational changes, and adhesive properties [175][176][177][178][179]. The effect on coagulation of polystyrene latex particles for both anions and cations [180] is shown in Figure 19C.Control of type and distribution of ions is a parameter that could be additionally exploited to disrupt the interfacial water structures as shown for the case of polyelectrolyte brushes (Figure 15).Additionally, the degree of substrate surface charge would control concentration and distribution of ions close to interfaces where ice accretion would occur, and hence influence the interfacial water structure.Traditionally, the role of ions in ice nucleation has been studied in atmospheric and geochemical contexts [181][182][183] and there is ambiguity in the exact mechanisms of ion-mediated ice nucleation [184][185][186][187]. Close to the interface, depending on local fields, the oxygens can point up or down (measured as a vector from hydrogen to oxygen), leading to variations in local structure and differentials in coordination geometry of ice formations (hexagonal vs. tetrahedral) [87,103,188].The hydrogen bonds towards the bulk are termed as "bilayer stitching" bonds, and have been hypothesized as the major contributor to the intense H-bonded band in sum frequency generation (SFG) spectra of ice [189,190].Charge transfer in the stitching bilayer could control local ordering [184], and a systematic study of the orientation profiles of interfacial water and ions would provide insight into the mechanisms at play for ice nucleation near solid surfaces.For a negatively charged surface, a proton disordered ice structure was observed compared to a proton ordered structure for positively charged surface [184].

Sum Frequency Generation and Molecular Dynamics Results
A systematic analysis of the freezing of water next to sapphire surfaces through sum frequency generation (SFG) spectroscopy was done by our collaborators [184].Sapphire was chosen because of the wide range of interaction strengths [191] possible through tunable hydroxylation (viz.change in pH) as evidenced by room temperature contact angle measurements [192].The spectra for pH 9.8 showed significantly lowered intensities compared to pH 3.3 near the transition temperatures (Figure 20), while the melting and freezing transition temperatures themselves did not change.A two-step transition is seen at pH 9.8 and it has been hypothesized that the disruption of the stitching bilayer and charge transfer through the presence of Na + ions contributes to both reduction in signal intensity and differences in the nature of transition.To analyze changes in behavior of water at sapphire surfaces with surface charge, we performed all-atom molecular dynamics (MD) simulations for neutral and 20% negatively charged surfaces.An α-sapphire surface of approximately 26 Å in thickness was used representing a complete replication of the hexagonal lattice along the c-axis through 6 O 2− and 6 ntermediate Al 3+ layers.The unit cell was replicated along the a and b dimensions for an area of approximately 54 × 50 Å 2 in the XY plane.20% negative charge was imparted through random removal of hydrogens from the (-OH terminated) sapphire surface.Water films of 30 and 100 Å thickness were placed on top of the sapphire surface corresponding to 2276 and 7779 water molecules, respectively.All simulations were run for 2.5 ns with an integration timestep of 0.5 fs.The sapphire surface was treated using the CLAYFF force field [193] while the water molecules were treated using a SPC/E model [194,195].
We observed significant changes in ordering and layering close to the 20% negatively charged α-sapphire surface.The θ values in Figure 21 represent the dipole angles of water molecules with respect to the normal to the surface.The probability distribution for θ shown in Figure 21A reveals peaks for the first and second layer that are close to 130 • indicating that the hydrogens are facing towards the α-sapphire surface.Interestingly, the second layer has a sharper peak than the first, which may be caused by a templating effect of the first layer.This has been reported in recent MD simulations of ice growth on facets of varying roughness [69] with a water overlayer acting as an in-plane template.The distribution shows equal probability, as expected, for the case of bulk water.We next compare the time averaged cos(θ) values for charged versus neutral surfaces, shown in Figure 21B.The layers of water close to the charged surface are significantly more ordered when compared to the neutral surface as shown by the sharp dip between 0-10 Å.The neutral surface quickly recovers to random distribution (displaying bulk behavior) around 10 Å and the ordering of the water surface close to the neutral sapphire surface (below 10 Å) is not as pronounced as for the charged sapphire surface (Figure 21C).It should be noted that the peak at the end in the opposite direction is at the water-air interface, where the density of water molecules indicates the presence of vapor phase.The hydrogens for a water molecule point towards the air, at the air-water interface, and towards sapphire, at the sapphire-water interface.On the charged surface, since we have not achieved bulk behavior even in the 100 Å water film, ordering anywhere in the film would be a combined contribution of water-air interface and water-sapphire interface.The layering shown by the density distribution also points to the charged surface having the first two layers at density almost twice that of pure bulk water.Such layering is more significant for the charged surface by approximately 30% when compared to the neutral surface (not shown).Since the ordering due to the negatively charged surface travels through the entirety of the 30 Å water film, we analyzed the effect of placing a larger film of water.As can be observed in Figure 21B, ordering of the water structure close to the negatively charged sapphire surface overlaps for the first few layers for both 30 and 100 Å films.Further, the effect of this ordering travels through the 100 Å film, with a gentler gradient after approximately 18 Å.This deviation is a result of the additive effect of ordering at the two water interfaces (air and sapphire) being different for the two thicknesses.For water on the charged sapphire surface even for a large thickness (100 Å of water), the ordering does not become random as observed for the neutral sapphire surface.This implies that ordering of the water structure on negatively charge surfaces is large, and may require an even thicker water layer for it to become random and show bulk behavior.The results from all-atom MD are in accordance with the hypothesis from SFG spectra that points to higher changes in ordering for a charged surface, in comparison to a neutral surface, when traveling away from the water-sapphire interface.

Conclusions and Outlook
With an overview of the mechanisms, factors, and design principles utilized in the current anti-icing hierarchies, we propose that robust design can additionally benefit from an analysis of the interfacial water structure.The design principles tell us that a self lubricating layer delays ice adhesion and is to be preferred in considering anti-icing solutions.The nature of quasi-liquid layer (QLL) and the role of ions close to the surface are not understood in terms of their effect on ice adhesion or nucleation.Mimetic designs based on hydrophilic brushes have attempted to utilize the anomalous hydration and entropic behavior of ions.
"Shape disrupting" versus "shape forming" ions, with different values for water structural entropy, delay ice adhesion by varying degrees.The thickness dependence of QLL on hydration shells and temperature and its correlation to nucleation remains an open question.While the role of cations has been traditionally examined in geological, atmospheric, bio-adhesion, and hydrate formation contexts, its effect on heterogeneous ice nucleation for anti-icing surface design needs further study.
Our outlook on the topic is that there exists a need for understanding of the interfacial water structure and its behavior with changes in ion distribution and local environments common to material applications being sought.Based on this understanding, a hierarchical design of interfaces can be proposed that selectively disrupts and delays nucleation in a given set of environments.We show initial MD results, in good agreement with the overall mechanistic understanding from SFG, that can be further developed for rational design of environmentally responsive ice-phobic materials, mimics, and coats.

Figure 1 .
Figure 1.Schematic showing the major approaches towards anti-icing.

Figure 2 .
Figure 2. (A) Illustrates regions on a water droplet where homogeneous and heterogeneous ice nucleation occur and the influence of outside factors such as evaporation; (B) Shows the normalized surface ice nucleation rate for water microdprolets on flat, solid, hydrophobic and hydrophilic surfaces.Reprinted with permission from Refs.[32,130], respectively.c 2014 and c 2012 American Chemical Society.

Figure 3 .
Figure 3. (A) Shows variation of activation energy for critical nucleation with temperature for different wettabilities.Red line represents region below which spontaneous freezing occurs; (B) Shows variation of contact angle with temeprature for surface with differing wettabilities.Reprinted with permission from Refs.[22,61], respectively.c 2013 Materials Research Society; c 2010 Elsevier.

Figure 4 .
Figure 4. (A) Shows values for surface energy and roughness for two differing types of samples, with and without fluoroalkylsilane (FAS).Both samples are additionally loaded with silica nanoparticles.For M-x and F-x, x denotes the weight % of silica nanoparticles and FAS respectively; (B,C) Show variations in the area nucleation rate with temperature for the non-fluorinated and fluorinated samples.Reprinted with permission from Ref. [46].c 2015 Royal Society of Chemistry.

Figure 5 .
Figure 5. Scaled shear strength as a function of degree of hydrogen-bonding for different self assembled monolayers.Reprinted with permission from Ref. [134].

Figure 6 .
Figure 6.Effect of wetting and high temperature heating on hydrogen bond network of -OH terminated SAM.Reprinted with permission from Ref. [139].c 2014 Royal Society of Chemistry.

Figure 7 .
Figure 7. Ice adhesion strength as a function of practical work of adhesion.Reprinted with permission from Ref. [25].c 2010 American Chemical Society.

Figure 8 .
Figure 8.Effect of coating modulus (K) and thickness (t) on ice-removal through regulation of stress buildup at polymer soft coat interface.Reprinted with permission from Ref. [146].c 2014 Virginia Commonwealth University.

Figure 9 .
Figure 9. (A) Shows droplet in Wenzel (wetted) and Cassie-Baxter regimes (nonwetted); (B) Shows design of a hierarchical surface with slippery Wenzel regime through addition of oil lubricant to the pillars.Reprinted with permission from Refs.[79,147], respectively.c 2014 Elsevier; c 2015 American Chemical Society.

Figure 10 .
Figure 10.(A) Advantages and disadvantages of hydrophobic and hydrophilic surfaces in anti-icing design; (B) Competing effects of wettability and surface roughness in heterogeneous nucleation at hydrophobic surfaces.Reprinted with permission from Refs.[50,110], respectively.c 2015 Royal Society of Chemistry; c 2011 American Chemical Society.

Figure 11 .
Figure 11.Freezing onset as a function of the interfacial area of contact between the substrate and the droplet for two different substrate temperatures.Reprinted with permission from Ref. [141].c 2012 American Chemical Society.

Figure 14 .
Figure 14.A two-layered coating, inspired by frog's skin that secretes anti-freeze as a response to ice accretion.Reprinted with permission from Ref. [62].c 2015 Wiley Online Library.

Figure 15 .
Figure 15.Changes in ice-adhesion for different ions incorporated in polyelectrolyte brushes.Filled symbols represent measuremenst at −18 • C, while open symbols represent measurments at −10 • C. Reprinted with permission from Ref. [153].c 2014 American Chemical Society.

Figure 16 .
Figure 16.Changes in interfacial water behavior for varying levels of surface oxygen enrichment.(A) Shows resonance shear measurements for plasma treated and untreated silica surfaces with differing silanol densities; (B) Shows spreading of water on untreated and oxidized atactic Polystyrene.Reprinted with permission from Refs.[160,161], respectively.c 2013 American Chemical Society.

Figure 18 .
Figure 18.(A) and (B) Represent wettability and water molecule orientation for an alumina and a neodymia (Rare Earth Oxide) surface, respectively; (C) Illustrates the hydrogen-bond modulated self-healing for a polymer thin film designed for anti-fogging applications.Reprinted with permission from Refs.[170,171], respectively.c 2015 AIP Publishing; c 2015 Nature Publishing Group.

Figure 19 .
Figure 19.Effect of cations and anions at the interface.(A) Shows Hofmeister effect for anions and their physico-chemical implication; (B) Shows effect of counterion hydration on adhesion at a clay surface; (C) Shows effect of cations and anions on stabilization of polystyrene latex particles.Reprinted with permission from Refs.[174,175,180], respectively.c 2006 Elsevier; c 2014 American Chemical Society; c 2015 American Chemical Society.

Figure 20 .
Figure 20.Sum frequency generation (SFG) collected in SSP polarization during cooling for two different pH scales.Water is represented as open squares while ice is shown by filled circles with the spectra showing transitions near the freezing and melt temperatures.Reprinted with permission from Ref. [184].c 2013 American Chemical Society.

Figure 21 .
Figure 21.Effect of surface charge and thickness of water layer on the structuring of interfacial water at charged and neutral sapphire surfaces.(A) Shows the probability of the cosine of the dipole angle (θ) of water, measured with respect to the surface normal, for the first, and second water layers at a charged sapphire surface as well as for bulk water for comparison; (B) Shows time averaged cos(θ) values for two different thicknesses of water at charged sapphire surface and a comparison with neutral sapphire surface.Also shown is the density distribution for 100 Å thickness of water on the charged sapphire surface; (C) Shows the zoomed in picture for the first 10 Å.