Abstract
Providing a molecular level description of amorphous CaCO\(_3\) nucleation in aqueous solutions necessitates the use of theory and simulation in addition to a direct connection to experiments. Furthermore, the ability to simulate experimental conditions relevant to nucleation requires a systematic reduction in the complexity of a molecular-based model that can be compared to experimental observations and tested for self-consistency. In this review, we further expand on the theoretical details described in (Henzler et al. Sci Adv 4:eaa06283, (2018)), where a molecular-based solution model was constructed based on a solvent-mediated quantum mechanical potential of mean force for Ca\(^{2+}\) and CO\(_3^{2-}\) ion pairing. The statistical mechanics and simulation approaches for solution-phase nucleation are presented and connected to the various CaCO\(_3\) polymorph chemical potentials and interfacial surface energies. The resulting theory presented herein is general and is shown to accurately describe the initial stages of amorphous calcium carbonate nucleation.
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Acknowledgements
During the review process, we became aware of the recent work of Gebauer et al. [19]. We have thus added a paragraph in our finalized article addressing their critique of the original work by Henzler et al. [18]. The authors would like to thank Jim De Yoreo and Ben Legg for helpful discussions. PMF and MM simulations were performed at the Pacific Northwest National Laboratory (PNNL) with support from the U.S. Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences (BES), Division of Material Sciences and Engineering. The solution model and theoretical developments were supported by the DOE, Office of Science, BES, Division of Chemical Sciences, Geosciences, and Biosciences. DFT simulations were performed within the Materials Synthesis and Simulation Across Scales (MS\(^3\)) Initiative through the Laboratory Research and Development Program at PNNL. The PMF calculations used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the DOE, Office of Science under contract no. DE-AC02-05CH11231. AVBMC simulations used resources of the Minnesota Supercomputing Institute and were supported through an award from the NSF (CHE-1265849). PNNL is a multiprogram national laboratory operated for the DOE by Battelle under contract no. DE-AC05-76RL01830.
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5 Appendix
5 Appendix
The following development is a generalization of the thermodynamics of clusters to the case of two components. The one component case was established by Reiss and Bowles [44]. This serves to define our thermodynamic references and make a formal connection between molecular statistical mechanics and thermodynamics. We write expressions without internal molecular degrees of freedom for simplicity. Further generalization is straightforward. The \((i_{1},i_{2})\) component partition function is defined as \(q_{(i_{1},i_{2})}=\frac{1}{i_{1}!i_{2}!}\gamma _{1}^{i_{1}}\gamma _{2}^{i_{2}}\int dr_{1}^{\left( i_{1}\right) }dr_{2}^{\left( i_{2}\right) }e^{-\beta U}\Theta \), with the ideal gas partition function, \(q_{(i_{1},i_{2})}^{\mathrm {IG}}=\frac{1}{i_{1}!i_{2}!}\gamma _{1}^{i_{1}}\gamma _{2}^{i_{2}}\int dr_{1}^{\left( i_{1}\right) }dr_{2}^{\left( i_{2}\right) }\Theta \). Here, \(\gamma _{k}=\left( \frac{m_{k}k_{\mathrm {B}}T}{2\pi \hbar }\right) ^{3/2}\), where \(m_{k}\) is the mass of the \(k'th\) component, \(k_{\mathrm {B}}\) is the Boltzmann constant, \(\hbar \) is the Plank constant, and T is the temperature. U is the potential energy of the system. \(\Theta \) serves to partition configuration space defining a cluster of size \((i_{1},i_{2})\). For the case of initial studies of DNT, the center of the mass of the cluster is defined by \(R=\frac{1}{i_{1}+i_{2}}\sum _{k=1}^{2}\sum _{j=1}^{i_{k}}r_{k,j}\), and the definition of the cluster depends on the radius cutoff parameter, \(r_{\mathrm {cut}}\). The spherical volume of the cluster is \(v=\frac{4\pi }{3}r_{\mathrm {cut}}^{3}\). We then write, \(\Theta =\prod _{k=1}^{2}\prod _{j=1}^{i_{k}}\left( r_{\mathrm {cut}}-\left| r_{k,j}-R\right| \right) \). With, \(\bar{i}=i_{1}+i_{2}\) , and \(\bar{r}^{\left( \bar{i}\right) }=\left( r_{1}^{\left( i_{1}\right) },r_{2}^{\left( i_{2}\right) }\right) \), \(q_{(i_{1},i_{2})}^{\mathrm {IG}}=\frac{1}{i_{1}!i_{2}!}\gamma _{1}^{i_{1}}\gamma _{2}^{i_{2}}\bar{i}^{3/2}Vv^{\left( \bar{i}-1\right) }a_{\bar{i}}\), where \(a_{\bar{i}}\) constants that appear in the single component case. We define monomer partition functions as \(q_{(1,0)}=\gamma _{1}V\) and \(q_{(0,1)}=\gamma _{2}V\). Here, V is the volume of the system. The partition function for the full, non-interacting cluster system is Q, where \(\ln Q=\sum _{i_{1}}\sum _{i_{2}}\left\{ N_{(i_{1},i_{2})}\ln \left[ q_{(i_{1},i_{2})}\right] -N_{(i_{1},i_{2})}\ln N_{(i_{1},i_{2})}+N_{(i_{1},i_{2})}\right\} \). Following Reiss and Bowles [44], we introduce particle and volume conservation constraints through Lagrange multipliers and consider the extended partition function, \(\Phi \), to apply the stationary phase analysis:
Here, \(v_{(i_{1},i_{2})}\) is a volume of a cluster, \(\mu _{k}\) is the chemical potential of monomer k, p is the pressure of the system.
We then have the conditions, \(\frac{d\ln \Phi }{dN_{\left( 1,0\right) }}=\ln \left[ \gamma _{1}V\right] -\ln N_{(1,0)}+\beta \mu _{1}=0\), \(\frac{d\ln \Phi }{dN_{\left( 0,1\right) }}=\ln \left[ \gamma _{2}V\right] -\ln N_{(0,1)}+\beta \mu _{2}=0\), \(\frac{d\ln \Phi }{dV}=\frac{N_{\left( 1,0\right) }+N_{\left( 0,1\right) }}{V}-\beta p=0\), and \(\frac{d\ln \Phi }{dN_{(i_{1},i_{2})}}=\ln \left[ q_{(i_{1},i_{2})}\right] -\ln N_{(i_{1},i_{2})}+\beta \mu _{1}i_{1}+\beta \mu _{2}i_{2}-\beta pv_{(i_{1},i_{2})}=0\). Further simplification gives \(\beta \mu _{1}=\ln \left[ \frac{N_{(1,0)}}{\gamma _{1}V}\right] \), \(\beta \mu _{2}=\ln \left[ \frac{N_{(0,1)}}{\gamma _{2}V}\right] \), and \(\beta pV=N_{\left( 1,0\right) }+N_{\left( 0,1\right) }\). The equilibrium population resulting from the stationary phase analysis, \(N_{(i_{1},i_{2})}^{\mathrm {EQ}}\), is \(\ln N_{(i_{1},i_{2})}^{\mathrm {EQ}}=\ln \left[ q_{(i_{1},i_{2})}\right] +\beta \mu _{1}i_{1}+\beta \mu _{2}i_{2}-\beta pv_{(i_{1},i_{2})}\). It is natural to define the total Helmholtz free energy, \(A_{(i_{1},i_{2})}^{\mathrm {TOT}}\), by \(-\beta A_{(i_{1},i_{2})}^{\mathrm {TOT}}=\ln \left[ q_{(i_{1},i_{2})}\right] \). Collecting terms, we have \(\ln N_{(i_{1},i_{2})}^{\mathrm {EQ}}=-\beta \left[ A_{(i_{1},i_{2})}^{\mathrm {TOT}}+pv_{(i_{1},i_{2})}-\mu _{1}i_{1}-\mu _{2}i_{2}\right] \). It is useful to separate out the translational component of the free energy, \(A_{(i_{1},i_{2})}^{\mathrm {trans}}=-k_{\mathrm {B}}T\ln \left( \gamma _{\mathrm {TOT}}V\right) \), where \(\gamma _{\mathrm {TOT}}=\left( \frac{\left( m_{1}i_{1}+m_{2}i_{2}\right) k_{\mathrm {B}}T}{2\pi \hbar }\right) ^{3/2}\) and \(A_{(i_{1},i_{2})}^{\mathrm {TOT}}=A_{(i_{1},i_{2})}+A_{(i_{1},i_{2})}^{\mathrm {trans}}\). The natural definition of the Gibbs free energy follows, \(G_{(i_{1},i_{2})}=A_{(i_{1},i_{2})}+pv_{(i_{1},i_{2})}\). We then have \(N_{(i_{1},i_{2})}^{\mathrm {EQ}}=e^{-\beta \left[ G_{(i_{1},i_{2})}+A_{(i_{1},i_{2})}^{\mathrm {trans}}-\mu _{1}i_{1}-\mu _{2}i_{2}\right] }\). This may be recast to recover our main result that connects microscopic statistical mechanics (cluster populations) and macroscopic thermodynamics (Gibbs free energies):
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Fetisov, E.O., Baer, M.D., Siepmann, J.I., Schenter, G.K., Kathmann, S.M., Mundy, C.J. (2021). The Statistical Mechanics of Solution-Phase Nucleation: CaCO\(_3\) Revisited. In: Maginn, E.J., Errington, J. (eds) Foundations of Molecular Modeling and Simulation. Molecular Modeling and Simulation. Springer, Singapore. https://doi.org/10.1007/978-981-33-6639-8_5
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