Chen Bai1, Judith Herzfeld1. 1. Department of Chemistry, Brandeis University , Waltham, Massachusetts 02453, United States.
Abstract
The surface charge of water, which is important in a wide range of chemical, biological, material, and environmental contexts, has been a subject of lengthy and heated debate. Recently, it has been shown that the highly efficient LEWIS force field, in which semiclassical, independently mobile valence electron pairs capture the amphiproticity, polarizability and H-bonding of water, provides an excellent description of the solvation and dynamics of hydroxide and hydronium in bulk water. Here we turn our attention to slabs, cylinders, and droplets. In extended simulations with 1000 molecules, we find that hydroxide consistently prefers the surface, hydronium consistently avoids the surface, and the two together form an electrical double layer until neutralization occurs. The behavior of hydroxide can largely be accounted for by the observation that hydroxide moving to the surface loses fewer hydrogen bonds than are gained by the water molecule that it displaces from the surface. At the same time, since the orientation of the hydroxide increases the ratio of dangling hydrogens to dangling lone pairs, the proton activity of the exposed surface may be increased, rather than decreased. Hydroxide also moves more rapidly in the surface than in the bulk, likely because the proton donating propensity of neighboring water molecules is focused on the one hydrogen that is not dangling from the surface.
The surface charge of water, which is important in a wide range of chemical, biological, material, and environmental contexts, has been a subject of lengthy and heated debate. Recently, it has been shown that the highly efficient LEWIS force field, in which semiclassical, independently mobile valence electron pairs capture the amphiproticity, polarizability and H-bonding of water, provides an excellent description of the solvation and dynamics of hydroxide and hydronium in bulk water. Here we turn our attention to slabs, cylinders, and droplets. In extended simulations with 1000 molecules, we find that hydroxide consistently prefers the surface, hydronium consistently avoids the surface, and the two together form an electrical double layer until neutralization occurs. The behavior of hydroxide can largely be accounted for by the observation that hydroxide moving to the surface loses fewer hydrogen bonds than are gained by the water molecule that it displaces from the surface. At the same time, since the orientation of the hydroxide increases the ratio of dangling hydrogens to dangling lone pairs, the proton activity of the exposed surface may be increased, rather than decreased. Hydroxide also moves more rapidly in the surface than in the bulk, likely because the proton donating propensity of neighboring water molecules is focused on the one hydrogen that is not dangling from the surface.
Water
molecules occasionally autoionize, forming hydronium and
hydroxide ions with surface propensities that are important in a wide
range of contexts. However, despite intensive experimental and theoretical
efforts, it has proved vexing to establish the surface population
of ions, with some results suggesting excess hydroxide and others
excess hydronium.[1−5]It has long since been known that air bubbles and oil droplets
in water respond to electric fields as though negatively charged,
and experimentalists have gone to great lengths to exclude artifacts
due to impurities.[6−10] The simplest explanation of this electrophoretic behavior is that
hydroxide accumulates at the interface while hydronium is located
on the other side of the slip plane. This interpretation is supported
by the time constant for the decline of the surface tension from the
value for a newly prepared surface to the equilibrium value.[11] It is also consistent with the variation of
the surface tension with pH and salt concentration.[12−14]Surface-sensitive
spectroscopy has also been used to study the
surface character of water, including second harmonic generation (SHG),[15−17] vibrational sum-frequency spectroscopy (VSFS),[18] and photoemission spectroscopy (PES).[19] However, interpretation of data from those techniques is
difficult. One problem is uncertainty about the range of depths being
probed.[1] Another concern is that detection
of the spectroscopic signature of hydroxide requires high concentrations
achievable only by the addition of counterions[1,20] at
concentrations that are likely to be significantly perturbative.[11,21] An analogous concern arises from the high surface concentration
of pH indicator required for spectroscopic measurement of surface
pH.[22]Theoretical results have proven
highly sensitive to the approach
taken. First-principles calculations depend on the choice of density
functional: different functionals give very different pictures of
ion solvation and ion dynamics.[23] First-principles
calculations also impose severe practical limitations on the numbers
of molecules, concentrations of species, and durations of simulations.
Previous DFT studies provide mixed results for the air–water
interface. Some of them predict a preference of hydronium for the
surface,[24,25] some show a slight hydroxide enhancement
at the surface,[26] and some conclude that
there is no significant surface preference for either ion.[27]Molecular mechanics and MS-EVB results
also depend on the model
used[28] and the parametrization[29] of hydroxide vs hydronium vs water. Several
studies using MS-EVB have hydronium favoring the surface[30−33] and hydroxide avoiding it.[34] However,
in a recent study, Wick showed that hydronium’s attraction
to the surface in previous MS-EVB studies was due to neglect of polarizability.[28] Moreover, Wick and Dang showed that their polarizable
MS-EVB potential predicts little free-energy change in moving hydroxide
to the surface.[35]Recently, water
has been modeled with the LEWIS force field in
which valence electron pairs are efficiently described as explicit
semiclassical particles that interact pairwise with each other and
with semiclassical kernels that comprise nuclei and core electrons.
The resulting water is amphiprotic and intrinsically polarizable.[36] No reparametrization is involved in describing
different protonation states or intermediates between them. A study
of the self-ions shows hydroxide solvation that largely mirrors that
of hydronium (with the Eigen form most common and the Zundel form
as the transition state for proton transfer) and ion diffusion rates
relative to water that are consistent with experiment.[37]Here we use LEWIS to simulate systems
with an ion among 1000 molecules
in bulk (B), slab (S), cylinder (C), and droplet (D) configurations
(i.e., volume concentration ∼0.05 M or surface concentration
∼1 ion/10 nm2). To avoid bias in positioning the
ions in systems with broken symmetry, we condense from the gas state
at 1000 K to a slab, cylinder, or droplet at 300 K. For each box,
we first equilibrate at 1000 K for 500 ps to generate a fully distributed
gas state. A subsequent shift to 300 K resulted in a slab, cylinder,
or droplet. Ten systems were studied as follows:protonated to result in 1 hydronium
and 999 water molecules.deprotonated to result
in 1 hydroxide and 999 water molecules.1000 neutral water molecules.protonated to result
in 1 hydronium
and 999 water molecules.deprotonated to result
in 1 hydroxide and 999 water molecules.1 hydronium, 1 hydroxide
and 998 water molecules.protonated to result in 1 hydronium
and 999 water molecules.deprotonated to result
in 1 hydroxide and 999 water molecules.protonated to result in 1 hydronium
and 999 water molecules.deprotonated to result
in 1 hydroxide and 999 water molecules.System S0 was designed to investigate the ion-free process of condensation
from a 1000 K gas to a 300 K slab and to characterize H-bonding within
the slab. Systems S+ and S– were used to study the distribution
of hydronium and hydroxide ions, respectively. We used system S±
to compare the behavior of coexisting ions with the behavior of the
solitary ions in systems S+ and S–. Systems B+ and B–
were built to compare the H-bonding of ions in the bulk with that
in the slab. We also constructed systems C+, C–, D+, and D–
to test the influence of surface curvature.
Results and Discussion
Figure a shows
a typical condensation in system S0. Before condensation, water molecules
are distributed throughout the box. When the temperature is decreased,
water molecules begin to form clusters and concentrate in one region
of the box (translated to the middle after the simulation). After
60 ps a stable slab is formed. Figure b shows the evolution of the number of H-bonds and
the distribution of oxygen atoms. The rmsd is for the z-coordinates of oxygen atoms and decreases from the value expected
for a uniform gas to that expected for a uniform slab. Meanwhile,
the number of H-bonds increases from a small number due to some dimers
in the gas to 1.5 per water molecule in the condensed phase.
Figure 1
Condensation
in system S0. (a) Configurations starting from the
homogeneous gas state previously equilibrated at 1000 K. Oxygen atoms
are red, protons white, and electron pairs green. (b) Number of H-bonds
(black) and root-mean-square deviation along the long axis of the
box (red) for the condensation shown in panel a. Circles at t = 0 in panel b indicate starting values. Final values
are as expected for a homogeneous slab at the density of bulk water.
Condensation
in system S0. (a) Configurations starting from the
homogeneous gas state previously equilibrated at 1000 K. Oxygen atoms
are red, protons white, and electron pairs green. (b) Number of H-bonds
(black) and root-mean-square deviation along the long axis of the
box (red) for the condensation shown in panel a. Circles at t = 0 in panel b indicate starting values. Final values
are as expected for a homogeneous slab at the density of bulk water.
Ion Distribution
To obtain initial
statistics for the
surface propensities of the ions, nine parallel simulations were performed
for systems S+ and S–. Figure a–b shows the z-coordinates
of the oxygen in each ion relative to the average for all the molecules
(i.e., the middle of the slab). At t = 0 ps, before
condensation starts, ions could appear at any position in the evenly
distributed gas state. After cooling, ions move with water molecules
as the slab begins to form. Figure a shows that, after 150 ps, hydronium ions are distributed
at many depths, but avoid the surface (located at z – ⟨z⟩ ∼ ±15.5
Å). In contrast, Figure b shows that, after 150 ps, all hydroxide ions are located
at the slab surface, independent of their earlier positions. These
preferences did not change for the coexisting anion and cation in
system S± (Figure c). Until they neutralize (not until ∼300 ps in this particular
simulation), the ions form a double layer.
Figure 2
Ion distributions relative
to the middle of the slab. Trajectories
for (a) hydronium in system S+, (b) hydroxide in system S–,
and (c) both ions in system S±. The 9 condensations for systems
S+ and S– were each started from a different configuration
of the gas phase that had been fully equilibrated at 1000 K. The single
trajectory for S± was obtained by removing a proton from an equilibrated
S+ slab to create a buried hydroxide that is seen to rapidly move
to the surface and stay there. (d) Statistics for water (black), hydrogen
bonds (purple), hydroxide (red), and hydronium (blue). Water and hydrogen
bond statistics were derived from 5000 snapshots obtained at 10 fs
intervals from the final 50 ps of the simulation of system S0. The
vertical dashed line identifies the Gibbs dividing surface. Hydroxide
statistics (red) were derived from 4500 snapshots obtained at 100
fs intervals from the final 50 ps of 9 parallel simulations of system
S–. Hydronium statistics (blue) were obtained from 29,500 snapshots
obtained at 100 fs intervals from the final 50 ps of 57 parallel simulations
of system S+. The bin width is 0.1 Å.
Ion distributions relative
to the middle of the slab. Trajectories
for (a) hydronium in system S+, (b) hydroxide in system S–,
and (c) both ions in system S±. The 9 condensations for systems
S+ and S– were each started from a different configuration
of the gas phase that had been fully equilibrated at 1000 K. The single
trajectory for S± was obtained by removing a proton from an equilibrated
S+ slab to create a buried hydroxide that is seen to rapidly move
to the surface and stay there. (d) Statistics for water (black), hydrogen
bonds (purple), hydroxide (red), and hydronium (blue). Water and hydrogen
bond statistics were derived from 5000 snapshots obtained at 10 fs
intervals from the final 50 ps of the simulation of system S0. The
vertical dashed line identifies the Gibbs dividing surface. Hydroxide
statistics (red) were derived from 4500 snapshots obtained at 100
fs intervals from the final 50 ps of 9 parallel simulations of system
S–. Hydronium statistics (blue) were obtained from 29,500 snapshots
obtained at 100 fs intervals from the final 50 ps of 57 parallel simulations
of system S+. The bin width is 0.1 Å.Although the hydronium ions in our initial nine trajectories
seem
to avoid the surface, as shown in Figure a, this could be a coincidence. To obtain
better statistics, we performed 48 additional simulations for system
S+ and collected data from the last 50 ps of each trajectory. These
results appear in Figure d, along with those for water and hydroxide. Here, the black
curve shows the uniform distribution of water molecules, through the
interior of the slab, with the decline beyond 14.5 Å defining
the surface. As expected, the Gibbs dividing surface (vertical dashed
line) is located at 15.6 Å. The purple curve shows the variation
of the ratio of the average number of H-bonds in each bin to the average
number of oxygens in that bin. This measure also shows that the interior
of the slab is uniform, although H-bonding is somewhat disrupted in
the water layer just inside the surface. In sharp contrast, the red
curve shows that hydroxide strongly prefers the surface and the blue
curve shows that hydronium strongly avoids the surface. The variations
of the blue curve at greater depths are more difficult to interpret.
While our slab contains only ∼5 water layers from each surface,
the water and H-bond distributions cited above suggest that the surface
does not perturb the structure of the water beyond the first layer
inside the surface. However, perturbations by hydronium may depend
on distance from the surface. Another possibility is that 57 parallel
trajectories are still not enough to generate a flat distribution
for hydronium.
Influence of an Electric Field
The
surface adsorption
energy for hydroxide has been estimated to be 16–25 kBT, from the pH dependence
of the ξ potential of oil droplets in water[38] and from an analysis of the relaxation of the surface tension
of the air–water surface.[11] These
values are impressive since they are larger than the 40.65 kJ/mol
heat of vaporization of water,[39] and presumably
represent significant effects of charge.To test the surface
adsorption energies of both ions using the LEWIS model, we applied
an electric field to systems S+ and S–. We chose 0.5 V/nm because,
at 300 K, 20 kBT amounts
to 4.98 × 104 (V·C/mol) or 0.5 V per electronic
charge (9.65 × 104 C/mol). Our chosen electric field
provides that energy difference in 1 nm.We performed simulations
with 0.5 V/nm electric fields oriented
in the positive and negative z directions, starting
from the last frame of well-equilibrated slabs in S+ and S–
systems. Statistics for the rmsd and the number of H-bonds during
these simulations (not shown) indicated that the electric fields do
not have a significant effect on the density of the slab or the structure
of the H-bond network.Figure a shows
the hydronium position under the influence of electric fields in opposite
directions. We see that 0.5 V/nm suffices to drive the ion across
the slab, but not to drive it into the surface region on either side.
On the other hand, Figure b shows that 0.5 V/nm can shift the hydroxide slightly within
the slab surface, but not drive it out of the surface. These results
indicate that the barrier to hydronium moving into the slab or hydroxide
moving out of the slab is steeper than 20 kBT/nm. We also tried doubling the E-fields to 1.0 V/nm. But such strong fields caused the slabs to break
down. In those simulations, hydronium remains solvated in water clusters
while hydroxide escapes and travels across the box boundaries.
Figure 3
Ion trajectories
under the influence of electric fields perpendicular
to the slab in each direction: (a) hydronium in system S+ and (b)
hydroxide in system S–. The magnitude of the electric field
in each case is 0.5 V/nm.
Ion trajectories
under the influence of electric fields perpendicular
to the slab in each direction: (a) hydronium in system S+ and (b)
hydroxide in system S–. The magnitude of the electric field
in each case is 0.5 V/nm.
Driving Force
To gain insight into the molecular basis
for the surface propensity of both ions, we begin by comparing the
H-bonding of all three species in the bulk and at the surface. Based
on the water distribution in Figure d, it is reasonable to define the outmost layer |z – ⟨z⟩| > 14.5
Å
as the slab surface in systems S+ and S–. For bulk statistics
we use trajectories for systems B+ and B–. The results are
shown in Figure .
Figure 4
The average
number of H-bonds accepted (gray) and donated (black,
imperceptible for hydroxide) by the indicated species, in the slab
surface (S) vs in the bulk (B). The slab statistics were obtained
from the same trajectories as used in Figure d. We consider |z – ⟨z⟩| > 14.5
Å as the surface region in the slab. The bulk statistics are
obtained from systems B+ and B–.
The average
number of H-bonds accepted (gray) and donated (black,
imperceptible for hydroxide) by the indicated species, in the slab
surface (S) vs in the bulk (B). The slab statistics were obtained
from the same trajectories as used in Figure d. We consider |z – ⟨z⟩| > 14.5
Å as the surface region in the slab. The bulk statistics are
obtained from systems B+ and B–.In principle, possibilities for donating:accepting H-bonds
in bulk
water are 2:2 for H2O, 3:1 for H3O+, and 1:3 for OH–. The balance in H2O is expected to lend uniformity and strength to the H-bond network,
and the imbalance H3O+ and OH– is expected to be disruptive. In practice, we find that all three
species in the bulk participate in only three H-bonds, on average,
at 300 K. In the case of H2O, donating and accepting remain
well balanced at ∼1.5:1.5. However, the skew increases to ∼3:0
for H3O+ and ∼0:3 for OH–. These considerations alone suggest that both H3O+ and OH– might be better situated at the
surface, especially if they are able to each form H-bonds with three
neighboring waters molecules and if the water molecules that they
displace from the surface are able to form more H-bonds in the bulk.The surface statistics in Figure show that both water and hydroxide gain some H-bonds
in moving from the surface to the bulk. However, the extent differs
dramatically: on average, while water gains 0.8690 H-bond, hydroxide
gains only 0.2805. These numbers indicate that, when a hydroxide displaces
a water molecule from the surface, there is a net gain of 0.5885 hydrogen
bond. This is qualitatively consistent with the tendency of hydroxide
to prefer the surface.For a more quantitative assessment, we
note that the heat of vaporization
of water is 40.65 kJ/mol.[39] Dividing this
number by an average of 1.5 H-bonds/water molecule (see Figure ) we estimate that each H-bond
costs about 27.1 kJ/mol, such that, when hydroxide displaces water
from the surface, the energy decreases by 16.0 kJ/mol. This value
is smaller than the about 20 kBT adsorption energy estimated by experiments.[11,38] The underestimate may be due to limiting our analysis to H-bonds
inside the first solvation shell. Nevertheless, at 300 K, where kBT = 2.49 kJ/mol, our estimate
of 16.0 kJ/mol gives a dramatic surface/bulk Boltzmann factor of 590
for hydroxide ion.Unfortunately, we are unable to carry out
a similar analysis for
hydronium ions because they are never found at the surface in our
simulations. However, their absence suggests that, whereas surface
hydroxide is able to accept almost three H-bonds, surface hydronium
is unable to accept an adequate number of H-bonds, contrary to suggestions
elsewhere.[17,33] This may be due to the difference
between the diffuse, ringlike distribution of the lone pair electrons
in hydroxide vs the relatively rigid, tetrahedrally directed distribution
of the protons in hydronium.
Hydroxide Orientation and Surface pH
The reactivity
of surface species should be related to their orientations. As shown
in Figure , although
water loses H-bonds at the surface relative to the bulk, it loses
less than half of them and it still donates and accepts H-bonds in
approximately equal numbers, such that the numbers of “dangling”
lone pairs are similar to the numbers of “dangling”
protons. This balance between donated and accepted H-bonds is consistent
with a surface H-bond network that lends strength to the surface tension
of water and contradicts DFT simulations that indicate large differences
between numbers of donated and accepted H-bonds in the vicinity of
the surface.[40]In the case of hydroxide,
very few H-bonds are lost at the surface relative to the bulk. The
ion continues to accept an average of almost three H-bonds and must
therefore be oriented with all lone pairs buried. Figure shows statistics for θ,
defined as the angle between the O–H vector and the slab normal,
as pictured in the figure inset. It is clear that the hydrogen atom
of the hydroxide always points to the air side. The distribution is
well fit bywhich
assumes that the energy increases quadratically
with θ and takes the sin(θ) dependence of the cone size
into account.
Figure 5
Distribution of hydroxide ion orientations. The angle
θ is
defined in the inset. Bin size is 1°. Statistics were obtained
from the same 9 trajectories of system S– as used in Figure d. The solid line
shows the fit to eq .
Distribution of hydroxide ion orientations. The angle
θ is
defined in the inset. Bin size is 1°. Statistics were obtained
from the same 9 trajectories of system S– as used in Figure d. The solid line
shows the fit to eq .The irony is that, while hydroxide’s
preference for the
surface gives the surface a negative charge, the ion’s orientation
in the surface renders the outermost surface somewhat enriched in
dangling hydrogens and somewhat depleted in proton acceptors (i.e.,
dangling lone pairs). Thus, since pH properly refers to proton activity,
water may present a mildly acidic surface even though it harbors excess
hydroxide.
Hydroxide Surface Mobility
Much
attention has been
paid to the diffusion of water ions in the bulk liquid. Whereas the
diffusion of water requires movement of the whole molecule, its ions
can diffuse by proton hopping. The diffusion of hydronium is the fastest,
as it requires only that the excess proton move from one water to
a neighboring water. For hydroxide, proton hopping is more difficult
as it involves breaking up a neighboring water molecule. Figure shows that hydroxide
diffuses more rapidly on the surface than it does in the bulk. Whereas D = (1/6)d⟨r2⟩/dt = 0.15 Å2 ps–1, in the bulk, on the surface D =
(1/4)d⟨r2⟩/dt = 0.28 Å2 ps–1. This
is consistent with the fact that water molecules in the surface are
each donating just one hydrogen bond. With one proton dangling from
the surface, the propensity to donate is focused entirely on the other
proton, making it more readily available to transfer to a hydroxide.
Figure 6
Diffusion
of hydroxide. The mean square distance vs time is shown
for hydroxide in the bulk (solid line) and hydroxide at the surface
(dashed line). The latter was derived from the last 125 ps of the
7 trajectories in Figure b in which hydroxide arrives at the surface relatively quickly.
Diffusion
of hydroxide. The mean square distance vs time is shown
for hydroxide in the bulk (solid line) and hydroxide at the surface
(dashed line). The latter was derived from the last 125 ps of the
7 trajectories in Figure b in which hydroxide arrives at the surface relatively quickly.
Curvature Dependence
As has generally been the case
elsewhere, the above results concern the overall flat air–water
interface of a slab, and it is worth considering whether ion behavior
might be different at a curved interface. In order to evaluate the
influence of curvature we varied box dimensions to condense water
into cylinders and droplets that contain one ion (systems C+, C–,
D+, and D−).[41] As for the slabs,
systems were equilibrated at 1000 K for 500 ps and then condensed
and equilibrated at 300 K for another 500 ps. The linear and parabolic
water distributions shown in black in Figures a and 7b are characteristic
of cylinder and droplet shapes, respectively. In both the cylinder
and the droplet, as in the slab, hydroxide prefers the surface and
hydronium avoids it.
Figure 7
Distribution of ions relative to curved surfaces. (a)
Ion distances
from the central axis of a cylinder. (b) Ion distances from the center
of a droplet. Color code is as in Figure d. Statistics were obtained from snapshots
at 100 fs intervals during the last 100 ps of five parallel 500 ps
simulations of systems C+, C–, D+, and D–. The bin width
is 0.1 Å.
Distribution of ions relative to curved surfaces. (a)
Ion distances
from the central axis of a cylinder. (b) Ion distances from the center
of a droplet. Color code is as in Figure d. Statistics were obtained from snapshots
at 100 fs intervals during the last 100 ps of five parallel 500 ps
simulations of systems C+, C–, D+, and D–. The bin width
is 0.1 Å.
Methods
In this
work, boxes with periodic boundary conditions were constructed
for studying 1000 molecules in bulk (B), slab (S), cylinder (C), and
droplet (D) configurations. The dimensions wereNote that the density of 1000 water molecules
in a box of type B is 997.05 g/cm, i.e, the experimental density at
300 K and 1 atm.[39]We use the reactive
and polarizable LEWIS model of water, comprising
independently mobile valence electron pairs, protons and oxygen kernels,
with a fictitious electron mass of 1 amu and interactions truncated
with compensation at 9 Å.[36] The pairwise
potentials describing the interactions between these particles were
trained on the structures and relative energies of neutral, protonated,
and deprotonated water monomers and dimers.[42] The resulting force field provides an excellent description of Grotthuss
transport in water chains,[42] the polarization
of water in the neat liquid,[36] and the
correct trend for diffusion of water, proton holes, and excess protons
in bulk water.[37]The NVT molecular
dynamics simulations were performed in the GROMACS
package (version 4.6.3)[43] using the velocity-rescaling
thermostat[44] with a time constant of 0.01
ps. The time step was 0.2 fs for all simulations. Equilibration for
500 ps was at 300 K for the bulk systems and at 1000 K for systems
to be condensed into anisotropic systems. Cooling of the latter to
300 K generally resulted in a stable slab after ∼60 ps, and
a stable cylinder or droplet after ∼350 ps. The delay in the
latter systems is due to the larger sizes of the boxes. For S0, snapshots
were stored every 10 fs over 500 ps. For systems S+, S–, S±, B+, and B–, snapshots were stored every 100
fs over 200 ps trajectories. For systems C+, C–, D+, and D–,
snapshots were stored every 100 fs over 500 ps trajectories.Counts of numbers of H-bonds depend on the water model and the
somewhat arbitrary definition of an H-bond.[45] Using an H-bond defined by an attraction of 9.4 kJ/mol or more between
two water molecules, Jorgenson et al. obtained an average of 3.59
H-bonds for a TIP4P water molecule at 298 K.[46] More recently, defining an H-bond by (1) a H···O
distance no longer than 0.25 nm (i.e., the first minimum on the O–H
radial distribution function) and (2) an O–H···O
angle exceeding 150°, Zielkiewicz obtained an average of 2.357
H-bonds for a TIP4P water, 2.457 for a SPC/E water, and 2.082 for
a TIP5P water, at 298 K.[47] In this work,
we use the GROMACS[48] requirements of (1)
an O···O distance smaller than 0.35 nm and (2) a H–O···O
angle not larger than 30°. These criteria gave an average of
3.0 H-bonds for a LEWIS water molecule, as shown in Figure .
Authors: Bernd Winter; Manfred Faubel; Ingolf V Hertel; Christian Pettenkofer; Stephen E Bradforth; Barbara Jagoda-Cwiklik; Lukasz Cwiklik; Pavel Jungwirth Journal: J Am Chem Soc Date: 2006-03-29 Impact factor: 15.419
Authors: Jae Kyoo Lee; Hyun Soo Han; Settasit Chaikasetsin; Daniel P Marron; Robert M Waymouth; Fritz B Prinz; Richard N Zare Journal: Proc Natl Acad Sci U S A Date: 2020-11-23 Impact factor: 11.205
Authors: Haoran Wei; Eric P Vejerano; Weinan Leng; Qishen Huang; Marjorie R Willner; Linsey C Marr; Peter J Vikesland Journal: Proc Natl Acad Sci U S A Date: 2018-06-25 Impact factor: 11.205