Abstract
We present a firstprinciples calculation and mechanistic characterization of the ion product of liquid water (K _{ W }), based on Quantum Cluster Equilibrium (QCE) theory with a variety of ab initio and density functional methods. The QCE method is based on Tdependent Boltzmann weighting of differentsized clusters and consequently enables the observation of thermodynamically less favored and therefore low populated species such as hydronium and hydroxide ions in water. We find that common quantum chemical methods achieve semiquantitative accuracy in predicting K _{ W } and its Tdependence. Dominant ionpair water clusters of the QCE equilibrium distribution are found to exhibit stable 2coordinate buttresstype motifs, all with maximally Grotthusordered Hbond patterns that successfully prevent recombination of hydronium and hydroxide ions at 3coordinate bridgehead sites. We employ standard quantum chemistry techniques to describe kinetic and mechanistic aspects of ionpair formation, and we obtain NBObased bonding indices to characterize other electronic, structural, spectroscopic, and reactive properties of clustermediated ionic dissociation.
Introduction
The “ion product” of liquid water (K _{ W } = 1 × 10^{−14} mol^{2} L^{−2} at standard state conditions) is among the earliest facts taught to beginning chemistry students. This fact underlies all current understanding of aqueous acidbase phenomena but remains among the deepest mysteries of liquid phase studies, practically devoid of mechanistic explanation. From ancient times, liquid water has been recognized as a powerful solvating agent for a broad variety of polar substances. However, the nonnegligible value of K _{ W } quantifies the still more remarkable ability of liquid water to “selfsolvate”, i.e., to catalyze its own spontaneous dissociation into measurable ionic ${\mathrm{H}}_{(\mathrm{aq})}^{+},\phantom{\rule{.25em}{0ex}}{\mathrm{OH}}_{(\mathrm{aq})}^{}$ concentrations (pH = 7) under ambient conditions.
To emphasize how extraordinary such selfdissociation appears from a theoretical viewpoint, we may first consider the corresponding “${K}_{W}^{(g)}$” equilibrium constant for dissociation of isolated water molecules in the gaseous phase. A simple B3LYP/6311++G** estimate of the heterolytic dissociation energy (ΔE = 396 kcal mol^{−1}) and standardstate Gibbs energy (ΔG ^{(0)} = 389 kcal mol^{−1}) of a single water molecule leads [with the familiar thermodynamic relationship ${K}_{W}^{(g)}=\mathrm{exp}(\phantom{\rule{0.35em}{0ex}}\phantom{\rule{0.25em}{0ex}}\mathrm{\Delta}{G}^{(0)}/RT)$] to the result
In contrast, the corresponding experimental result for the aforementioned aqueousphase dissociation is
By any standard, the ca. 10^{271}fold enhancement in K _{ W } provides impressive evidence for the extraordinary catalytic effectiveness of liquid water in ionic dissociation phenomena.
The extreme improbability of heterolytic watersplitting in a free water molecule (Eq. 1) is in general accord with the expected strong force of Coulombic attraction between unlike charges. Such classical electrostatic forces are typically featured as an important contribution to empirical forcefields of popular molecular dynamics (MD) methods for simulating liquid properties^{1}. Even though a classical description is unsuitable for bondbreaking processes, whether heterolytic or homolytic, some conventional MD studies related to K _{ W } can be found in the literature (attempting to describe, e.g., pK _{ W } variations in the supercritical region for ad hoc ion and ionpair models at fixed concentration^{2}). Other mixed classical/quantum models (e.g., of RISM, COSMO, or QM/MM type) have been applied to aspects of pK _{ W } ^{3,4,5,6,7}, but all raise questions concerning the inherent ambiguities of describing water according to its ad hoc assignment as “solute” or “solvent” molecule. Numerical evaluation or a general mechanistic understanding of the thermodynamic K _{ W } property (Eq. 2) has not been provided by these methods.
Quantum chemical methods are routinely applied to estimate gasphase acidity, but the corresponding deduction of acidic constants in aqueous solution, or the ion product of water itself, is not straightforward^{8}. In order to get insights into the selfdissociation process or ion transport in water, ab initio molecular dynamics (AIMD) approaches have been used in past studies^{9,10,11,12,13,14,15}, typically with suitable constraints or other ad hoc assumptions. The phenomenon of autoionization can be conceived to be a result of three events in dynamic equilibrium: (i) dissociation of a neutral water molecule, (ii) transport of charged species through the aqueous medium, and (iii) ion recombination. However, due to the overall rarity of ions in liquid water, the observation of these events by means of standard simulation techniques would require system sizes and simulation times far beyond the scope of current AIMD methods.
The inadequacy of classical Coulomb concepts for understanding the properties of water and other hydrogenbonding (HB) liquids is now well recognized. The International Union of Pure and Applied Chemistry (IUPAC) recently adopted the recommendations of a blueribbon commission^{16} to replace the former electrostaticsbased definition of Hbonding in the IUPAC Gold Book^{17} by one that emphasizes quantum covalency (“evidence of chemical bonding”) as the characteristic signature of Hbonding^{18}. This revision is supported by considerable direct and correlative evidence for quantal 3center, 4electron (3c/4e) resonancetype interactions (of exchangetype exponential form) as the dominant feature of Hbonding^{19}. The relative unimportance of classical Coulombic effects is also indicated by more recent theoretical^{20} and experimental^{21,22,23,24} evidence for “antielectrostatic” Hbonding between likecharged ions, with IR detection signaling formation of even quadruply charged HBclusters in ionic liquids^{21,22,23}. These studies demonstrate how exponentialtype exchange forces of Hbonding can overcome what appear to be overwhelming classical (power law)type Coulombic attractions or repulsions. The present work illustrates still another aspect of competition between classical electrostatics vs. resonancetype quantum covalency^{25, 26} contributions to Hbonding.
Quantum Cluster Equilibrium (QCE) theory^{27,28,29,30,31,32,33} provides an alternative to MD simulations for predicting thermodynamic^{34,35,36,37} and kinetic^{38} properties of liquids. In the present study we will use the QCE method to obtain the ionic product of water from finite cluster structures containing dissociated species.
Results
Theory of Ionic Dissociation in the QCE Framework
A detailed introduction into the QCE method for pure liquids and binary systems can be found elsewhere^{27,28,29,30,31,32,33}. In short, basic QCE theory^{27} describes thermodynamic properties of gaseous and liquid phases in terms of an underlying set of clusters that serve as the conceptual building blocks (with different populations in different phases) throughout the fluid domain. Full (electronic plus rovibrational) partition functions for each cluster are calculated at a chosen level of quantum mechanical theory, with residual intercluster interactions included as empirical van der Waals (a _{mf}, b _{ xv }) corrections to the dominant intracluster interactions. Selfconsistent equilibrium populations for the simultaneous cluster equilibria are determined by standard equations of quantum statistical thermodynamics in the canonical ensemble, leading to the associated QCE phase diagram and other (p, T)dependent fluid properties. Interaction energies for each cluster which enter the electronic partition function can be found in Table S2 of the supporting information.
Superficially, QCE description of water ionization may seem to require separate “components” of neutral, cationic, and anionic clusters. However, the longrange character of Coulombic forces implies that simple meanfield approximations for intercluster interactions could never be justified. Instead, all such interactions must be treated in the fully quantummechanical intracluster framework of netneutral “ionpair” (IP) clusters (thereby also maintaining consistency with dimensional constraints of the Gibbs phase rule). This in turn implies that the usual dominant QCE clusters of neutral water, composed of a stable arrangement of neutral molecule units,
must be supplemented by stable IP clusters containing distinct hydronium and hydroxide constituent units, viz.,
As indicated, each such IP cluster (Eq. 4) must contain suitable “solvent separation” constituent structures (H_{2}O)_{n–2} that can successfully withstand the powerful energetics of ionic recombination.
Dominant QCE clusters (Eq. 3) are generally found to feature 2coordinate Grotthusordered chains or cycles of maximum HB cooperativity^{34}, such as structures ${\mathbf{W}}_{\mathbf{3}\mathbf{c}}$, ${\mathbf{W}}_{\mathbf{3}\mathbf{u}}$, ${\mathbf{W}}_{\mathbf{5}\mathbf{c}}$ depicted in the top left of Fig. 1. However, any attempt to employ such 2coordinate HB pattern is found to lead to spontaneous proton transfer and ionic recombination. Thus, successful IP clusters can only be obtained by positioning the ionic H_{3}O^{+}, OH^{−} moieties at 3coordinate “bridgehead” positions of polycyclic structures, separated by 2coordinate Grotthusordered neutral “buttresses” as illustrated in the propellanelike ${\mathbf{W}}_{\mathbf{5}\mathbf{i}\mathbf{p}}$,[2,2,2]bicycloctanelike ${\mathbf{W}}_{\mathbf{8}\mathbf{i}\mathbf{p}}$, or cubanelike ${\mathbf{W}}_{\mathbf{8}\mathbf{c}\mathbf{i}\mathbf{p}}$ structures of Fig. 1. (Still larger tricoordinate buckyballtype cages^{35} or highlycoordinated cluster motifs may also contribute to IP distributions, particularly at lower temperatures, but were not considered in the present work.) In all such cooperative buttresstype arrangements, proton transfer to achieve ionic recombination is opposed by the strong enthalpic advantage of cooperative HB Grotthusordering within each buttress linkage, resulting in a viable (electronically and vibrationally stable) IP structure that is the hallmark of each contributing QCE cluster. Note that lesssymmetric polycyclic IP motifs, such as that of [2,2,1]norbornane, are found to be unstable with respect to recombinative proton transfer, suggesting the exquisite balance of Coulombic and HB forces that is successfully achieved in ${\mathbf{W}}_{\mathbf{5}\mathbf{i}\mathbf{p}}$ or ${\mathbf{W}}_{\mathbf{8}\mathbf{i}\mathbf{p}}$ topology. Although the ${\mathbf{W}}_{\mathbf{5}\mathbf{i}\mathbf{p}}$ “nearcontact” pentamer is found to be of relatively high chemical potential (thus contributing negligibly to the final thermodynamic K _{ W } value compared to IP clusters of greater solvent separation), it plays a prominent role in the likely kinetics and mechanism of ionic dissociation (as discussed below) and is therefore retained in the full QCE cluster set of the present study (Fig. 1). According to the H_{2}O···H_{3}O^{+} hydrogen bond length given in Table S3 of the supporting information, the considered IP clusters can be classified as Eigen structures (${\mathbf{W}}_{\mathbf{8}\mathbf{i}\mathbf{p}}$, ${\mathbf{W}}_{\mathbf{8}\mathbf{c}\mathbf{i}\mathbf{p}}$), one Zundellike structure (${\mathbf{W}}_{\mathbf{10}\mathbf{i}\mathbf{p}\mathbf{2}}$) and intermediate structures in which two of the three distances are shortened (${\mathbf{W}}_{\mathbf{5}\mathbf{i}\mathbf{p}}$, ${\mathbf{W}}_{\mathbf{10}\mathbf{i}\mathbf{p}}$).
QCE Cluster Populations and K_{w} Calculation
The ionic product of water K _{ W } was determined from the particle numbers N _{ i } of all ionic clusters i, according to the following equation
where ${n}_{i}(X)$ denotes the number of hydronium or hydroxide ions contained in cluster i, which equals to 1 for all clusters investigated in this study. Furthermore, V denotes the molar volume as obtained from the QCE calculation at the current (p, T) phase point. As usual, pK _{ W } denotes the negative logarithm of the ionic product
The final Tdependence of pK _{ W } as obtained by the different methods is plotted in Fig. 2. Monomernormalized populations^{31} of the ionpair clusters for B3LYPD3 are shown in Fig. 3.
Overall, the presented results show quite gratifying agreement with experimental data, keeping in mind that the only experimental reference values used are the density at 298.15 K and the boiling point of neat water.
The results presented above and in the Supporting Information make it clear that the energetics of cluster HB patterns strongly affect the populations of ionpair clusters and resultant K _{ W } value. Expressed in other terms, the calculated K _{ W } provides a sensitive measure of the accuracy of the chosen method, basis set, or corrections that might be considered, allowing specific recommendations to be offered. For example, we observe (see Supporting Information) that inclusion of the BoysBernardi counterpoise correction^{43} degrades the estimate of pK _{ W } at any reasonable theory and basis level. This strongly supports the recent conclusion of Mentel and Baerends^{44} that such “correction” should generally be avoided for all reasonably extended basis sets in current usage. Significant inaccuracies are also incurred for composite or mixedtype treatments that employ different levels for different clusters, differing approximations for core/valence exchange effects, or differing treatments for electronic and vibrational properties. Examples of the latter are the “CCSD(T)*” and “MP2” curves shown in Fig. 2, each a composite of CCSD(T)/CBS or MP2/augccpVTZ energetics, respectively, with B3LYPD3,gCP/def2TZVP vibrational frequencies that lead to surprisingly inaccurate pK _{ W } values compared to, e.g., fully consistent B3LYPD3,gCP/def2TZVP treatment of electronic and structural/vibrational properties. Such mixed treatments apparently incur significant errors in the delicate balance between enthalpic (primarily electronic) and entropic (primarily vibrational) contributions to free energy that are the essence of accurate thermodynamic description.
From Fig. 3 it is also striking to see the extreme sensitivity of K _{ W } contributions to overall HB network pattern. This is most clearly seen in comparison of the ionpair containing decamers ${\mathbf{W}}_{\mathbf{10}\mathbf{i}\mathbf{p}}$ and ${\mathbf{W}}_{\mathbf{10}\mathbf{i}\mathbf{p}\mathbf{2}}$, both sandwichtype complexes of two pentamers with hydronium and hydroxide ions in opposite faces. As can be seen in Fig. 1, the only difference is that ${\mathbf{W}}_{\mathbf{10}\mathbf{i}\mathbf{p}}$ lacks only a single connecting HB between the two cofacial pentamers, with one monomer of each pentamer (well away from the IP pair) splayed above or below the plane of possible HB formation. Despite the seemingly insignificant loss of only one of the 15 structural HBs of ${\mathbf{W}}_{\mathbf{10}\mathbf{i}\mathbf{p}\mathbf{2}}$ in the cluster neighborhood of the IP, the QCE population of ${\mathbf{W}}_{\mathbf{10}\mathbf{i}\mathbf{p}}$ is diminished by ca. five orders of magnitude relative to ${\mathbf{W}}_{\mathbf{10}\mathbf{i}\mathbf{p}\mathbf{2}}$. Expressed in other terms, failure to include all features of the maximally cooperative HB network pattern for a given skeletal cluster motif severely degrades the ability of that motif to properly describe the associated cluster contribution to ionic dissociation phenomena.
The best agreement in terms of absolute deviation from experimental K _{ W } is found for the B3LYPD3 data, which reproduces the Tdependent slope of the experimental curve best. Overall, the agreement of the results with experimental reference data is quite satisfactory for DFT methods, particularly if Grimmetype dispersion is included. As it can be seen from the gray curve in Fig. 2, the Hartree–Fock method cannot be used for the evaluation of the ion product. DFTbased and correlated methods show better results. It is furthermore concluded that dispersion correction and geometrical counterpoise correction have a contrary influence and in the case of PBE0 nearly cancel each other.
We conclude that the QCE method can be used to predict the ionic product of water with reasonable semiquantitative accuracy for a variety of popular theoretical levels. In contrast to other methods, the QCE results provide absolute values for ion concentrations and other (p, T)dependent data, independent of reference points or ad hoc model constraints. The QCE results are intrinsically thermodynamic in nature, automatically compliant with the mathematical structure imposed by the laws of thermodynamics^{45}. However, the direct dependence on full quantum mechanical description of the underlying clusters implies that QCE results can also be linked to structural, spectroscopic, and reactive cluster properties (including kinetic aspects of cluster interconversion) that are usually considered beyond the thermodynamic framework. Some aspects of these broader QCE associations are described in the following section.
Kinetics, Mechanism, and NBO Characterization of Ionic Dissociation
Thermodynamic QCE populations and pK _{ W } values give no direct information concerning the mechanistic pathways or Tdependent evolution of IP clusters from the parent molecular fluid. Nevertheless, the same quantum mechanical methods that determine the QCE partition functions can be used to investigate the intrinsic reaction coordinate (IRC) and transition state (TS) for proposed mechanisms of any contributing cluster reaction^{38}. In the present section we discuss some basic features of the B3LYP/6311++G** potential energy surface that allow visualization of lowenergy pathways and Eyringtype kinetic descriptors of successive solventseparation steps in ionic dissociation, consistent with the limiting thermodynamic QCE populations and K _{ W } value.
Apparently the most important (ratelimiting) step of ionic dissociation is the initial isomerization of cyclic pentamer ${\mathbf{W}}_{\mathbf{5}\mathbf{c}}$ (the dominant QCE cluster of nearambient neutral water) to propellanelike ${\mathbf{W}}_{\mathbf{5}\mathbf{i}\mathbf{p}}$. This isomerization proceeds through the sequence of (i) bridging to neutral propellanelike ${\mathbf{W}}_{\mathbf{5}\mathbf{p}}$, and (ii) 2 H^{+} transfer to final ${\mathbf{W}}_{\mathbf{5}\mathbf{i}\mathbf{p}}$, as depicted in the $\mathrm{\Delta}{G}^{\mathrm{(0)}}$ free energy diagram of Fig. 4 and reaction sequence Eq. 7,
Optimized structures of key ${\mathbf{W}}_{\mathbf{5}\mathbf{c}}$, ${\mathbf{W}}_{\mathbf{5}\mathbf{p}}$, ${\mathbf{W}}_{\mathbf{5}\mathbf{x}}^{\u2021}$ clusters (with consistent atom numbering) and schematic features of reactive sequence (Eq. 7) are illustrated in Figs 5–7, respectively.
As shown in Fig. 4 and the caption of Fig. 5, the initial bridging transition from neutral ${\mathbf{W}}_{\mathbf{5}\mathbf{c}}$ to neutral ${\mathbf{W}}_{\mathbf{5}\mathbf{p}}$ involves a relatively low free energy activation barrier (ca. $6\phantom{\rule{.25em}{0ex}}\mathrm{kcal}\phantom{\rule{.25em}{0ex}}{\mathrm{mol}}^{1}$), leading to replacement of one HB of ${\mathbf{W}}_{\mathbf{5}\mathbf{c}}$ with two new HBs of ${\mathbf{W}}_{\mathbf{5}\mathbf{p}}$. Far more surprising is the doubleproton transfer transition from neutral ${\mathbf{W}}_{\mathbf{5}\mathbf{p}}$ to ionpair ${\mathbf{W}}_{\mathbf{5}\mathbf{i}\mathbf{p}}$ as depicted in Fig. 6. This incurs a ca. $20\phantom{\rule{.25em}{0ex}}\mathrm{kcal}\phantom{\rule{.25em}{0ex}}{\mathrm{mol}}^{1}$ activation barrier that is ca. 20fold smaller than that for the corresponding gasphase IP reaction (Eq. 1). The astonishing catalytic efficiency of the cooperatively buttressed HB pattern of three water molecules in ${\mathbf{W}}_{\mathbf{5}\mathbf{p}}$ seems to concisely express the mechanistic magic of “aq” enhancement of ionic watersplitting at the molecular level.
Given the lowbarrier pathway for nearcontact IP formation in Eq. 7, one can envision cluster reactions leading to alternative IP clusters of increased solvent separation and QCE population. For example, bridging addition of ${\mathbf{W}}_{\mathbf{2}}$ to ${\mathbf{W}}_{\mathbf{6}}$ leads to the neutral ${\mathbf{W}}_{\mathbf{8}\mathbf{b}}$ of Fig. 1, which requires only concerted Grotthus proton shuttle to yield the ${\mathbf{W}}_{\mathbf{8}\mathbf{i}\mathbf{p}}$ IP of nexthigher solvent separation. Similar aufbau pathways could be envisioned for larger ${\mathbf{W}}_{\mathbf{8}\mathbf{c}\mathbf{i}\mathbf{p}}$ and ${\mathbf{W}}_{\mathbf{10}\mathbf{i}\mathbf{p}\mathbf{2}}$ clusters that make leading contributions to the QCE IPcluster distribution. Further details of the mechanistic pathways lie beyond the scope of present study.
We may also mention that natural bond orbital (NBO) analysis^{46} of cluster wavefunctions provides additional insights into cluster structure, spectroscopy, and reactivity. Figure 8 shows NBObased natural resonance theory (NRT)^{47} bond orders b _{ OH } for all proximal O···H linkages of the ${\mathbf{W}}_{\mathbf{5}\mathbf{i}\mathbf{p}}$ cluster, exhibiting the subtle variations around hydronium and hydroxide bridgeheads in both nearinteger (“covalent”) and subinteger (“Hbond”) bonding features. The expected bond orderbond length (BOBL) correlation is found to be virtually perfect (Pearson ${r}^{2}=0.999$), demonstrating the high predictive utility of NRT bond orders in discerning subtle structural variations of the cluster HB network (despite the fact that no geometrical or symmetry information enters the NBO/NRT algorithms). Similar correlations relating bond orders to IR frequency (Badger’s rule^{48}), NMR shieldings, or other electronic and reactivity measures of Hbonding^{19} suggest how NBO/NRT descriptors can be expected to complement and illuminate a variety of experimental descriptors of aqueous pH phenomena.
Summary and Conclusion
The present study demonstrates how the concepts of Quantum Cluster Equilibrium (QCE) theory can be combined with modern ab initio and density functionaltheoretic methods to provide semiquantitative firstprinciples estimates for the ion product (K _{ W }) of neutral water and its Tdependence. By expanding the usual dominant QCE clusters of neutral water (primarily of Grotthusordered cyclic topology) to include corresponding polycyclic motifs whose tricoordinate bridgehead apices (linked by Grotthuscompliant “buttresses”) successfully withstand ionpair separation, we obtain thermodynamic QCE estimates of K _{ W } (p, T) that robustly reproduce the remarkable catalytic effects of the (aq) surroundings (i.e., polyhedral Grotthusordered Hbond network motif) on ionic selfdissociation of water, as summarized in the empirical “pH = 7” property of ambient liquid water known to every chemist.
Beyond basic thermodynamiclevel K _{ W }(p, T) description, the contributing QCE cluster equilibria allow one to map out mechanistic and kinetic features of the associated potential energy surfaces and reaction pathways by standard quantumchemical methods. We employed such mechanistic methods to investigate a key (${\mathbf{W}}_{\mathbf{5}\mathbf{c}}\to {\mathbf{W}}_{\mathbf{5}\mathbf{i}\mathbf{p}}$) pentameric step of initial ionpair formation, which leads (via envisioned Grotthustype proton shuttles) to successively solventseparated cluster species that are found to dominate the thermodynamic K _{ W } distribution. Detailed NBO/NRT analysis of the QCE cluster pathways provides further correlations with other structural, spectroscopic, and dynamical properties of aqueous acidbase phenomena that are subject to experimental detection. Thus, the present work suggests many lines of further experimental testing QCEbased cluster concepts, beyond direct calculation of K _{ W }.
To supplement the cursory description of QCE methodology sketched in previous sections, we conclude with brief comments on some significant differences that distinguish QCE models from conventional MDbased conceptual and computational models of liquids:

1.
The QCE model is an intrinsically thermodynamictype description that cannot cast light on (or be drawn into conflict with) inferences drawn from studies of, e.g., ion transport or related kinetic phenomena^{49, 50}. Nevertheless, standard quantum chemical methods allow mechanistic and kinetic details of each QCE cluster equilibrium “reaction” (as illustrated in Fig. 4) to be investigated for possible comparisons with experimental rate measurements or related theoretical characterizations^{12}. In addition, the converged QCE cluster populations can be combined with calculable IR, NMR, and other spectroscopic properties of each cluster^{51} (as well as associated isotope dependence)^{29} to give additional comparisons with (p, T)dependent experimental measurements.

2.
Although our present emphasis is on studying the sensitivity of pK _{ W } with respect to methods for the fixed 18cluster distribution of Fig. 1, it should be noted that QCE algorithms are intrinsically open to inclusion of additional structures which may be tested for significant contribution to a fully converged QCE distribution for the (p, T) range of interest. For example, at QCE/PBEh3c level an extended 20cluster distribution that additionally includes the ${({\mathbf{W}}_{\mathbf{6}\mathbf{c}})}_{2}$ hexagonalsandwich cluster and the corresponding ${\mathbf{W}}_{\mathbf{12}\mathbf{i}\mathbf{p}}$ ionpair cluster leads analogously to $p{K}_{W}=17.17$ (exp: 14.93) and 12.80 (exp: 11.98) at 274 and 373 K, respectively. Stable clusters that are representative of proposed alternative coordinative motifs (as conjectured, e.g., for specific ionic solvation states^{52} or extracted as inherent structures^{53} from MD simulations, etc.) can also be added to further test the robustness of conclusions drawn in the present study.

3.
QCE conceptions are based on the essential continuity of fluid phases and their clustertype constituent building blocks^{54}. QCE theory therefore obviates a common presumption that intrinsically different force fields or levels of classical vs. quantum treatment are required to describe gaseous vs. bulk liquid thermodynamic phenomena.

4.
More specifically, QCE cluster distributions exhibit the characteristic entropic preference for surprisingly small clusters of high vibrational flexibility and reduced coordination number^{33, 34, 38}. The present results also illustrate the importance of Grotthustype Hbond “buttresses” between ion pairs (presumably related to the “water wires” found in ref. 12), rather than concentric (first, second, third…) “solvation shells” of isolated ions that often dominate conceptual models of aqueous ionic structure. Furthermore, thermodynamically populated QCE clusters often feature complex Hbond arrangements that resist categorization in terms of idealized ionic models such as Eigentype vs. Zundeltype hydronium models^{55}. The QCE model therefore offers distinctive conceptual perspectives as well as an alternative computational methodology for investigating aqueous ionic properties.
We conclude that successful numerical computation of K _{ W } represents a promising first step toward a broad range of future QCEbased investigations of aqueous acidbase phenomena.
Methods
All clusters of Fig. 1 have been characterized with a variety of quantum chemical methods and basis sets, including ab initio Hartree–Fock at the 6311++G** basis set (HF)^{56, 57} as well as DFT functionals B3LYP^{58} and PBE0^{59} at the def2TZVP basis set^{60}, each with additional Grimmetype dispersion correction (B3LYPD3, PBE0D3) and geometrical counterpoise correction for the basis set superposition error (B3LYPD3,gCP, PBE0D3,gCP)^{39,40,41}. Furthermore, the highly efficient composite PBEh3c type has been employed^{61}. Highly accurate energies based on B3LYPD3,gCP geometries have been obtained from the 2^{nd} order Møller–Plesset perturbation theory using an augccpVTZ basis (MP2)^{62} and from the DLPNOCCSD(T) approach (CCSD(T)*) with extrapolation to the complete basis set limit^{63, 64}. Calculations have been performed with Orca^{65}. Detailed information on computational details (Table S1) and interaction energies (Table S2) are given in the Supporting Information. QCE calculations were performed using the Peacemaker software package^{31}. Two standardstate reference values are employed to determine the two parameters a _{mf} and b _{xv}, such that the resulting isobar reproduces (i) the experimental density of water at 298.15K and (ii) its boiling point. Molecular volumes were calculated using GEPOL93’s ESURF algorithm^{66} with van der Waals radii taken from Bondi’s compilation^{67} and a probe radius of 1.4 Å. Optimized a _{mf} and b _{xv} parameters for various theory levels are given in Table S4 in the Supporting Information.
Data availability
All data generated or analysed during this study are included in this published article and its Supplementary Information files.
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Acknowledgements
M.v.D., E.P. and B.K. thank the SPP 1708 funded by the German research foundation. R.L. gratefully acknowledges the SPP 1807 and the project LU 506/141 of the German research foundation. F.W. acknowledges computational facilities provided in part by National Science Foundation Grant CHE0840494.
Author information
Author notes
Eva Perlt and Michael von Domaros contributed equally to this work.
Affiliations
Mulliken Center for Theoretical Chemistry, Institute for Physical and Theoretical Chemistry, University of Bonn, Bonn, 53115, Germany
 Eva Perlt
 , Michael von Domaros
 & Barbara Kirchner
Physical and Theoretical Chemistry, Institute for Chemistry, University of Rostock, Rostock, 18059, Germany
 Ralf Ludwig
Department of Chemistry, University of WisconsinMadison, Madison, WI, 53706, USA
 Frank Weinhold
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Contributions
B.K., R.L. and F.W. conceived the methodology, F.W. contributed IP structures and conducted the kinetics study, E.P. and M.v.D. conducted the calculations and analysed the results. All authors wrote and reviewed the manuscript.
Competing Interests
The authors declare that they have no competing interests.
Corresponding author
Correspondence to Frank Weinhold.
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