actinide physics and chemistry
Effective coordination numbers from
general approaches for lanthanide and actinide dioxidesaDepartment of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1, Bld. 3, Moscow 119991, Russian Federation, bNational Research Centre `Kurchatov Institute', Pl. Kurchatova 1, Moscow 123182, Russian Federation, cThe Rossendorf Beamline at ESRF – The European Synchrotron, CS40220, 38043 Grenoble Cedex 9, France, and dInstitute of Resource Ecology, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), PO Box 510119, 01314 Dresden, Germany
*Correspondence e-mail: romanchuk.anna@gmail.com, stepan@radio.chem.msu.ru
Extended X-ray absorption fine structure (EXAFS) is a comprehensive and usable method for characterizing the structures of various materials, including radioactive and nuclear materials. Unceasing discussions about the interpretation of 2 and CeO2 NPs with different average sizes were compared with published data on AnO2 NPs that highlight the best fit and interpretation of the structural data. In terms of the structure, PuO2, CeO2, ThO2, and UO2 NPs exhibit similar behaviors. Only ThO2 NPs have a more disordered and even partly amorphous structure, which results in characteristics. The proposed new core-shell model for NPs with calculated effective perfectly fits the results of the variations in a metal–metal shell with a decrease in NP size.
results for actinide nanoparticles (NPs) or colloids were still present during the last decade. In this study, new experimental data for PuOKeywords: extended X-ray absorption fine structure (EXAFS); actinide; plutonium; cerium; nanoparticles; coordination number.
1. Introduction
Plutonium dioxide (PuO2) is a crucial component of modern atomic energy (Clark et al., 2005, 2019; McFarlane, 2004). A possible strategy for the nuclear power cycle is to use mixed-oxide fuels that contain 3–5% PuO2 (Carbajo et al., 2001). In contrast, PuO2 in particulate and colloidal forms is important in the context of radioecology and environmental safety. Colloidal transport of plutonium in the environment was found to be the predominant mechanism of subsurface migration (Kersting et al., 1999; Novikov et al., 2006). These findings make it necessary to conduct careful studies of both pseudo- and intrinsic plutonium-containing colloidal particles.
However, despite its practical importance, PuO2 is even more intriguing from a fundamental perspective. Indeed, considering the periodic system, it is not easy to find cations that can be present as Me4+ (where Me indicates a metal) in aqueous solutions. This list mainly includes Th4+, U4+, Np4+, Pu4+, and one lanthanide Ce4+. All tetravalent lanthanides and actinides, such as Th, U, Np, Pu, and Ce, have a high tendency to form MeO2 precipitates in the form of nanoparticles (NPs) (Powell et al., 2011; Romanchuk et al., 2018; Gerber et al., 2020), or sometimes referred to as polymers or eigen/intrinsic colloids (Silver, 2001; Rai & Swanson, 1981; Costanzo et al., 1973; Triay et al., 1991; Thiyagarajan et al., 1990). Meanwhile, plutonium stands out in this series because of its complicated chemistry with redox reactions and high radiotoxicity.
Extended X-ray absorption fine structure (EXAFS) is a powerful method for characterizing the local structure of nanostructured materials (Kuzmin & Chaboy, 2014; Rehr & Albers, 2000; Lee et al., 1981). This method is element-selective, non-destructive, and relatively moderate for the sample during measurements (no vacuum, heating, and ionization), making it one of the most popular and widely used techniques for characterizing radioactive materials.
Although 2, compared with other methods, the interpretation of the results is still debatable. Conradson et al. (2004) distinguished up to eight individual components in the first coordination shell of plutonium dioxide, which corresponds to the interaction of plutonium atoms with neighboring oxygen atoms. The authors proposed a chemical formula for the colloids as PuO2+x–y(OH)2y·zH2O, where x indicates the Pu(V) species due to the presence of the Pu(V)–O, plutonoyl, component at ∼1.9 Å. However, in the study by Rothe et al. (2004), this short distance was attributed to and thus excluded from consideration. They isolated two components from the first with a Pu–O distance of 2.20–2.24 Å, and the second with a Pu–O distance of 2.38–2.42 Å. The shorter distance was attributed to the interaction of the plutonium atom with the hydroxo-group or with the oxygen atom of the water molecule. In contrast, Hudry et al. (2014) isolated only one component, Pu–O, in the spectrum of PuO2 nanocrystals with a distance of 2.31 Å, which is slightly less than that of bulk PuO2. A slight decrease in the (CN) in the first and second coordination shells was observed. Dalodière et al. (2017), in their study of PuO2 NPs obtained by both hydrolytic and sonolitic methods, reported a split in the first coordination shell of plutonium and identified three different interatomic interactions: short (1.93–2.23 Å), medium (2.23–2.63 Å), and long (2.63–3.13 Å) ranges. In this case, the short component corresponds to μ1-Pu–OH or μ3-Pu–O, the medium component corresponds to μ4-O from the PuO2 ideal structure, and the long component corresponds to the surface-adsorbed H2O molecules. In the continuation of this study, Bonato et al. (2020) suggested that the splitting is due to the disordered of the NPs. Recently, the interpretation of spectra was revised by Micheau et al. (2020). The authors used a single Pu–O scattering path to fit a Fourier-filtered oxygen shell and determined the corresponding Debye–Waller factor (DWF) as the only floating parameter. In the paper by Gerber et al. (2020), using different approaches including Landweber iteration and Monte Carlo simulation proved the absence of legitimate reasons to split the Pu–O shell in PuO2 NPs.
has been widely used for the characterization of PuOThis study aims to compare 2, ThO2, UO2, and PuO2 NPs of various sizes and compare several approaches for fitting the spectra.
data for tetravalent CeO2. Experimental
2.1. Synthesis and characterization of CeO2 and PuO2 NPs of various sizes
Cerium dioxide NPs were synthesized via rapid chemical precipitation. In this synthesis approach, both the type and concentration of the starting salt affect the particle size. Cerium (IV) ammonium nitrate, (NH4)2Ce(NO3)6, and cerium (III) nitrate hexahydrate, Ce(NO3)3·6H2O, were used to prepare the initial cerium solutions. Concentrations of the salts varied from 0.01 to 0.8 M. Aqueous solutions of the cerium salts were added to 3 M aqueous solution in molar excess under constant stirring, resulting in the formation of yellow suspensions. The precipitates were separated by centrifugation and washed three times with Milli-Q water to remove any impurities. For further measurements, the samples were air-dried for 24 h at 40°C. A sample synthesized from 0.1 M (NH4)2Ce(NO3)6 was additionally annealed for 12 h at 400°C in a muffle furnace.
Plutonium dioxide was formed as a result of the long storage (375 days) of Pu(VI) solution at a total Pu concentration of 10−4 M at pH ∼8 and 12.
Synchrotron-based X-ray diffraction (XRD), performed at the XSA beamline (Svetogorov et al., 2020) of the Kurchatov Synchrotron Radiation Source (Moscow, Russia) using a Rayonix SX165 detector, was employed to characterize the inorganic matrix of the bottom sediments. Diffraction patterns were obtained using monochromatic radiation with a wavelength of λ = 0.8 Å focused on a spot of 400 µm of a sample held in a polymer capillary in the case of Pu-containing substances and a cryoloop in the case of CeO2. Two-dimensional diffraction patterns were further transformed using Dionis software to reveal the dependence of the intensity on the scattering angle.
The average particle size of the CeO2 NPs was calculated from the XRD data using different procedures. It was calculated from the broadening of the diffraction lines using both the Scherrer equation and Williamson–Hall approach. The full width at half-maximum (FWHM) parameter was estimated from the diffraction peaks fitted by the pseudo-Voigt function. Instrumental broadening was calculated using the Caglioti formula (Caglioti et al., 1958) and considered when calculating the particle size by direct subtraction from the FWHM values. Determination of the unit-cell parameters and calculation of the values of the crystallite size and microstress influence were performed using in the Jana2006 software (Petříček et al., 2014) (see example in Fig. S1C of the supporting information). Instrumental broadening was determined using the LaB6 certified crystallographic standard (NIST SRM 660a). A comparison of the CeO2 NP sizes determined by different approaches is summarized in Table S1 of the supporting information. The size of the PuO2 crystallites was estimated from the broadening of the first four diffraction peaks [(111), (200), (220), and (311)] using the Scherrer equation. In the PuO2 XRD data, a substantial contribution of the background diffraction scattering from the capillary was observed. Therefore, adequate subtraction of the background during the data procedure is unattainable.
2.2. measurement
et al., 2009) of Kurchatov Synchrotron Radiation Source (Moscow, Russia). A storage ring with electron beam energy of 2.5 GeV and current in the range 80–100 mA was used. Pu L3-edge was measured using an X-ray beam monochromated with a Si(220) channel-cut monochromator, which provided an energy resolution of ΔE/E ≃ 2 × 10−4. The damping of higher-energy harmonics was achieved by monochromator geometry distortion. The spectrum of the Zr foil was used for energy calibration. Ce L-edges have a very short energy range (440 eV for the L3-edge); therefore, only a few parameters could be extracted from the spectra measured at Ce L-edges. The Ce L3-edge spectrum also contains the contribution of the multi-electron effect, which should be considered during data treatment. Therefore, Ce K-edge measurements were inspired by the possibility of measuring the spectra over a wide k-range. Ce K-edge was measured using a Si(333) channel-cut monochromator, and the Si(111) reflection was annihilated by an Al filter with a thickness of 5 mm. All the experimental data were collected in transmission mode using ionization chambers filled with an appropriate mixture of Ar/N2 for the Pu L3-edge and Xe for the Ce K-edge. At every energy point in the XANES region the signal was integrated for 1 s, whereas for the region the integration time was set to 1 s at the beginning of the region and increased to 4 s at the end of the region. Samples for Pu L3 measurements were stored in the polymer capillaries during the measurements, but CeO2 powders were pressed into the pallets with appropriate thickness. The beam size for the Pu L3 X-ray absorption spectrometry (XAS) was selected to be suitable for the homogeneous area of the samples, but not less than 500 µm × 500 µm to obtain the appropriate signal-to-noise ratio. For the Ce K-edge experiments, we used a beam with a size of 1 mm × 4 mm. For all samples, at least three spectra were collected and merged using IFEFFIT software (Newville, 2001).
spectra were collected at the Structural Materials Science beamline (Chernyshov3. Results and discussion
To distinguish the influence of the particle size on the spectral characteristics, samples of CeO2 and PuO2 with different average particle sizes were studied by XRD. In all the cases, a fluorite-type diffraction pattern was observed (Fig. S1) with a different line broadening, from which the average crystallite size was calculated as described in the Experimental section and Table S1. Consequently, six samples of CeO2 were selected with particle sizes ranging from ∼2 to 20 nm (Table 1). In the case of PuO2, the particle size varied from 2.0 to 3.2 nm. Bulk samples of CeO2 and PuO2 were used for comparison. The XANES spectra for size series look very similar (Fig. S2).
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The magnitudes of the Fourier transform (FT) of the weighted experimental 2 and PuO2 NPs are shown in Fig. 1. In all cases, two main shells are clearly distinguished: Me–O with the maximum approximately R − Δ = 1.8 Å and Me–Me with the maximum approximately R − Δ = 3.7 Å. Additional peaks or shoulders at 1.15–1.2 Å in the case of PuO2 spectra result from atomic contributions or multielectron excitations (Rothe et al., 2004). Spectral features between 2 and 3 Å could be attributed to the complicated shape of the contributions of heavy elements (metal in the second coordination shell) and multiple-scattering paths (Bocharov et al., 2017). The contribution of the multiple-scattering paths is visible in the experimental data, but is not essential for modeling the spectra of actinide dioxide NPs. With decreasing size, the second coordination shell drastically decreases. The first coordination shell is changed to a decreasing size, but the changes are less definite in this case. The intensity reduction is caused by the decrease in the average CNs and the distortion in the atomic structure of the NP due to the size effect. The explanation and description of both effects can be found in the appropriate sections.
spectra for the studied CeOThe following approach was used to fit the experimental R-space with k-weights of 2 and 3 using symmetric square windows with `Hanning sills'.
spectra. First, the spectra corresponding to the bulk samples were fitted. In this case, the CNs for the two nearest coordination shells were fixed, but the DWFs and interatomic distances to absorbing atoms were varied. The CNs for the Me–O and Me–Me shells were fixed as they should be in the ideal crystal. From this fitting procedure, the DWF for the Me–Me shell was extracted, and they were later used to fit the spectra of the NP samples. All spectra were fitted in theEXAFS spectra for NPs were fitted with varying radii of Me–O and Me–Me coordination shells, DWF for Me–O coordination shells, and CN for Me–Me shells. Four parameters were optimized by fitting the NP S0 2, was defined as 0.9 in the FEFF calculation and fixed at that value in the data fits, which is typical for actinides and for K-edges of heavy-atom spectra fitting (Prieur et al., 2019). The energy shift parameter (ΔE) was treated as a variable for the bulk sample, and the obtained value was used for the NPs.
spectra. The proposed procedure dramatically decreases the number of variables and obtains stable values of fitted structural parameters, which is essential for further reliable structural data treatment. The amplitude reduction factor,Similar trends were obtained for the CN of Me–Me when the DWF was varied (see Fig. S4). However, relatively high uncertainties in such determination prevent the understanding of the tiny effects on the structure changes with the decrease in the particle size.
The obtained results are summarized in Table 2 and Fig. S3.
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3.1. First oxygen shell (Me–O)
Interpretation of the first Me–O shell in the case of actinide dioxide NPs provokes an intense scientific discussion. A high DWF and non-symmetry indicate extraordinary structural features. As discussed in the Introduction section, some authors proposed to fit this shell by combining several different distances (Conradson et al., 2004; Dalodière et al., 2017; Rothe et al., 2004, 2009). One of the possible interpretations of the presence of oxidized Pu(V) or Pu(VI) in the structure of PuO2 NPs was confidently rejected (Gerber et al., 2020; Bonato et al., 2020) and will not be further considered in this study. To avoid contrived conclusions resulting from overfitting, some authors have proposed that the first coordination oxygen shell is not split into different subshells (Gerber et al., 2020; Bonato et al., 2020; Micheau et al., 2020). Here, we followed the same strategy. We avoided the isolation of this Me–O shell as in previous studies (Bonato et al., 2020; Micheau et al., 2020), but fixed the Me–O CN and made a variable DWF that is different from Gerber et al. (2020).
Consequently, we showed in this study that the DWF is essentially increased with decreasing NP size (Table 2), which is even more pronounced in the case of CeO2 NPs. The results of this work were compared with previously published data (Fig. 2), along with ThO2.
Despite the slightly different approaches, the results converge well. All NPs — CeO2, PuO2, and ThO2 — maintained the same trend. With a decrease in the size of the NPs to less than 10 nm, the DWF of the first coordination shell is drastically increased. Such an increase in the DWF correlates with the increasing contribution of the surface atoms (Fig. S5), which indirectly indicates that the disordering effect in the oxygen shell is related to the surface atoms.
Another observation is that DWFs for Me–O shells are generally lower for ThO2 NPs than for PuO2, and the DWF values for CeO2 are consistently higher, even taken from the works of different authors. Additionally, the first shell in the spectra of ThO2 NPs (Fig. S6) is much more symmetrical than that in CeO2, where the splitting appears to be clear.
3.2. Second coordination shell (Me–Me)
The CNs of the second Me–Me coordination shell obtained from 2 and CeO2 NPs of various sizes (Fig. 3). As discussed, CNMe–Me decreased with a decrease in the particle size. To explain this fact, experimental data were compared with the calculated values for spherical NPs as a function of particle size (CNavg). Upon reduction of the NP size, the number of undercoordinated atoms located on the surface increases relative to those in the bulk, thus leading to a decrease in the average CN (Kuzmin & Chaboy, 2014). This relatively simple geometric consideration did not converge to the experimental data. A similar difference between the experimental CN and the calculated values was observed for MoS2 (Shido & Prins, 1998) and in one of our previous studies on the size-dependent series of ThO2 NPs (Plakhova et al., 2019).
spectra fitting were compared for PuOTo address this problem, we propose a structural model of MeO2. Presumably, MeO2 NPs have a core-shell structure. Metal atoms were suggested to belong to the core of the NP when they contain 12 metal atoms in the second coordination shell; otherwise, metal atoms belong to the shell of the MeO2 NP. The idea is that only the core Me atoms contribute to the net Me–Me CN, but all the Me atoms in the MeO2 NP contribute to the overall signal. Therefore, the effective Me–Me CN (CNef) can be calculated by normalizing the sum of the CNs for core atoms to the total number of Me atoms in the particle. The suggested effective CN can be calculated using the following equation,
where Ncore denotes the number of Me atoms in the core and Ntotal is the total number of Me atoms in the MeO2 NP.
This assumption is in excellent agreement with the experimental results for the PuO2 and CeO2 NPs. Furthermore, this assumption suggests that the technique is more sensitive to the highly ordered crystalline core, at least in the case of a second coordination shell.
Using the given assumption, the size of this shell could be estimated as the difference between the radii of the NP and its core part. This calculation provides a value of approximately 0.4 nm, which is close to the cell parameter of the MeO2 (Table 3). Recent work (Micheau et al., 2020) also provided insight into the core-shell structure of PuO2 NPs and determined their size using small-angle X-ray scattering (SAXS). In this study, the size of the shell was estimated to be relatively large (approximately 1.0–1.5 nm) and could be interpreted by the presence of a less-ordered shell near the core and a double electric layer near the particles, which is usually accounted for by the SAXS technique.
‡Plakhova et al. (2016). §Rand et al. (2008). |
Notably, the results for PuO2 and CeO2 converged well with each other. This indicates that cerium dioxide can be considered an appropriate analog for PuO2 NPs.
A comparison of the results presented here and published previously for ThO2 (Plakhova et al., 2019) and UO2 NPs (Gerber et al., 2021) is shown in Fig. 4. Because the cell parameters for the studied dioxides were slightly different (Table 3), the NP size values were divided by the cell parameter of bulk MeO2 and used for the x-axis (Fig. 4). The clear trend for all series, that is, CeO2–PuO2–ThO2–UO2, remained the same. These results suggest that the proposed core-shell model for CNef is adequate for all the studied MeO2 NPs. Moreover, the results presented here confirm that all NPs have similar structural properties.
In the case of ThO2, the CN of smaller NPs (less than 10 nm) was slightly lower than that of the other studied dioxides. Notably, for the Me–O interaction, ThO2 NPs have a lower DWF than the other studied NPs (presented above), whereas the Me–Me interaction is less pronounced or more disordered. All these findings suggest that, in ThO2 NPs, oxygen atoms are more ordered than more distant atoms, indicating that ThO2 has a more amorphous structure than the other metal dioxides studied. In our latest work (Amidani et al., 2021) on ThO2 NPs using the pair distribution function (PDF) method extracted from high-energy X-ray scattering (HEXS) data, we show that for samples containing very small NPs the first Th–O interaction has a higher intensity than normal. This also indicates better ordering of the first oxygen surroundings. The presence of thorium clusters in a mixture with ThO2 NPs was proposed to fit the PDF data. Similar effects may be present in cases where an increase in the amorphous thickness of the shell near the ThO2 crystalline core occurs. Therefore, it is more evident that ThO2 has a more amorphous nature than CeO2, PuO2, and UO2. This conclusion has a good correlation with the weakness of the cation Th4+ compared with the other studied cations. This chemical weakness of the Th4+ cation also results in other macro properties, such as higher solubility (higher logKsp) compared with PuO2 and CeO2 (Table 3).
4. Conclusion
In this work, we report new 2 and CeO2 NPs with different average sizes and compare them with the published data for ThO2, and UO2 NPs. It was found that the changes observed in the spectra were the same for all series, emphasizing the similarities in the nature and behavior of these dioxide NPs. Only ThO2 demonstrates higher ordering in short-range oxygen surroundings, which is explained by its more amorphous nature, particularly with decreasing NP size. Plutonium demonstrated structural characteristics similar to those of the other studied MeO2 NPs.
results of PuOA conceptual core-shell model with calculated effective CNef was proposed to fit the changes in CN for the Me–Me coordination sphere in the spectra of MeO2 NPs. The proposed model perfectly correlates with the experimental results for all studied series and can be used in future studies of other substances.
. Related literature
The following reference, not cited in the main body of the paper, has been cited in the supporting information: Langford et al. (1991).
Supporting information
Sections S1 to S3; Table S1; Figures S1 to S6. DOI: https://doi.org/10.1107/S160057752101300X/yx5005sup1.pdf
Funding information
The work on synthesis, XRD, and 2 and PuO2 NPs was funded by the Russian Science Foundation (21-73-20083). AT, KK, and SK acknowledge support from the Russian Ministry of Science and Education under grant No. 075-15-2019-1891 (XAS experimental set-up and technique design). KK acknowledges the European Commission Council under ERC grant N759696.
characterization of CeOReferences
Amidani, L., Vaughan, G. B. M., Plakhova, T. V., Romanchuk, A. Y., Gerber, E., Svetogorov, R., Weiss, S., Joly, Y., Kalmykov, S. N. & Kvashnina, K. O. (2021). Chem. Eur. J. 27, 5. Web of Science CrossRef PubMed Google Scholar
Bocharov, D., Chollet, M., Krack, M., Bertsch, J., Grolimund, D., Martin, M., Kuzmin, A., Purans, J. & Kotomin, E. (2017). Prog. Nucl. Energy, 94, 187–193. Web of Science CrossRef CAS Google Scholar
Bonato, L., Virot, M., Dumas, T., Mesbah, A., Dalodière, E., Dieste Blanco, O., Wiss, T., Le Goff, X., Odorico, M., Prieur, D., Rossberg, A., Venault, L., Dacheux, N., Moisy, P. & Nikitenko, S. I. (2020). Nanoscale Adv. 2, 214–224. Web of Science CrossRef CAS Google Scholar
Caglioti, G., Paoletti, A. & Ricci, F. P. (1958). Nucl. Instrum. 3, 223–228. CrossRef CAS Web of Science Google Scholar
Carbajo, J. J., Yoder, G. L., Popov, S. G. & Ivanov, V. K. (2001). J. Nucl. Mater. 299, 181–198. Web of Science CrossRef CAS Google Scholar
Chernyshov, A. A., Veligzhanin, A. A. & Zubavichus, Y. V. (2009). Nucl. Instrum. Methods Phys. Res. A, 603, 95–98. Web of Science CrossRef CAS Google Scholar
Clark, D., Geeson, D. & Hanrahan, R. Jr (2019). Plutonium Handbook. American Nuclear Society, La Grange Park, IL, USA. Google Scholar
Clark, D. L., Hecker, S. S., Jarvinen, G. D. & Neu, M. P. (2005). The Chemistry of the Actinide and Transactinide Elements, edited by L. R. Morss, N. M. Edelstein and J. Fuger, pp. 813–1264. Dordrecht: Springer. Google Scholar
Conradson, S. D., Begg, B. D., Clark, D. L., den Auwer, C., Ding, M., Dorhout, P. K., Espinosa-Faller, F. J., Gordon, P. L., Haire, R. G., Hess, N. J., Hess, R. F., Keogh, D. W., Morales, L. A., Neu, M. P., Paviet-Hartmann, P., Runde, W., Tait, C. D., Veirs, D. K. & Villella, P. M. (2004). J. Am. Chem. Soc. 126, 13443–13458. Web of Science CrossRef PubMed CAS Google Scholar
Costanzo, D. A., Biggers, R. E. & Bell, J. T. (1973). J. Inorg. Nucl. Chem. 35, 609–622. CrossRef CAS Web of Science Google Scholar
Dalodière, E., Virot, M., Morosini, V., Chave, T., Dumas, T., Hennig, C., Wiss, T., Dieste Blanco, O., Shuh, D. K., Tyliszcak, T., Venault, L., Moisy, P. & Nikitenko, S. I. (2017). Sci. Rep. 7, 43514. Web of Science PubMed Google Scholar
Gerber, E., Romanchuk, A. Y., Pidchenko, I., Amidani, L., Rossberg, A., Hennig, C., Vaughan, G. B. M., Trigub, A., Egorova, T., Bauters, S., Plakhova, T., Hunault, M. O. J. Y., Weiss, S., Butorin, S. M., Scheinost, A. C., Kalmykov, S. N. & Kvashnina, K. O. (2020). Nanoscale, 12, 18039–18048. Web of Science CrossRef CAS PubMed Google Scholar
Gerber, E., Romanchuk, A. Y., Weiss, S., Bauters, S., Schacherl, B., Vitova, T., Hübner, R., Shams Aldin Azzam, S., Detollenaere, D., Banerjee, D., Butorin, S. M., Kalmykov, S. N. & Kvashnina, K. O. (2021). Inorg. Chem. Front. 8, 1102–1110. Web of Science CrossRef CAS Google Scholar
Guillaumont, R., Fanghanel, T., Neck, V., Fuger, J., Palmer, D. A., Grenthe, I. & Rand, M. H. (2003). Update on the chemical thermodynamics of uranium, neptunium, plutonium, americium and technecium. Amsterdam: OECD Nuclear Energy Agency. Google Scholar
Hudry, D., Apostolidis, C., Walter, O., Janssen, A., Manara, D., Griveau, J. C., Colineau, E., Vitova, T., Prüssmann, T., Wang, D., Kübel, C. & Meyer, D. (2014). Chem. Eur. J. 20, 10431–10438. Web of Science CrossRef CAS PubMed Google Scholar
Kersting, A. B., Efurd, D. W., Finnegan, D. L., Rokop, D. J., Smith, D. K. & Thompson, J. L. (1999). Nature, 397, 56–59. Web of Science CrossRef CAS Google Scholar
Kuzmin, A. & Chaboy, J. (2014). IUCrJ, 1, 571–589. Web of Science CrossRef CAS PubMed IUCr Journals Google Scholar
Langford, J. I., Cernik, R. J. & Louër, D. (1991). J. Appl. Cryst. 24, 913–919. CrossRef Web of Science IUCr Journals Google Scholar
Lee, J., Tang, M., Shih, W. C. & Liu, R. S. (2002). Mater. Res. Bull. 37, 555–562. Web of Science CrossRef CAS Google Scholar
Lee, P. A., Citrin, P. H., Eisenberger, P. & Kincaid, B. M. (1981). Rev. Mod. Phys. 53, 769–806. CrossRef CAS Web of Science Google Scholar
McFarlane, H. F. (2004). Encyclopedia of Energy, edited by C. J. Cleveland, pp. 351–364. New York: Elsevier. Google Scholar
Micheau, C., Virot, M., Dourdain, S., Dumas, T., Menut, D., Solari, P. L., Venault, L., Diat, O., Moisy, P. & Nikitenko, S. I. (2020). Environ. Sci. Nano, 7, 2252–2266. Web of Science CrossRef CAS Google Scholar
Newville, M. (2001). J. Synchrotron Rad. 8, 96–100. Web of Science CrossRef CAS IUCr Journals Google Scholar
Novikov, A. P., Kalmykov, S. N., Utsunomiya, S., Ewing, R. C., Horreard, F., Merkulov, A., Clark, S. B., Tkachev, V. V. & Myasoedov, B. F. (2006). Science, 314, 638–641. Web of Science CrossRef PubMed CAS Google Scholar
Petříček, V., Dušek, M. & Palatinus, L. (2014). Z. Krist. 229, 345–352. Google Scholar
Plakhova, T. V., Romanchuk, A. Y., Likhosherstova, D. V., Baranchikov, A. E., Dorovatovskii, P. V., Svetogorov, R. D., Shatalova, T. B., Egorova, T. B., Trigub, A. L., Kvashnina, K. O., Ivanov, V. K. & Kalmykov, S. N. (2019). J. Phys. Chem. C, 123, 23167–23176. Web of Science CrossRef CAS Google Scholar
Plakhova, T. V., Romanchuk, A. Y., Yakunin, S. N., Dumas, T., Demir, S., Wang, S., Minasian, S. G., Shuh, D. K., Tyliszczak, T., Shiryaev, A. A., Egorov, A. V., Ivanov, V. K. & Kalmykov, S. N. (2016). J. Phys. Chem. C, 120, 22615–22626. Web of Science CrossRef CAS Google Scholar
Powell, B. A., Dai, Z., Zavarin, M., Zhao, P. & Kersting, A. B. (2011). Environ. Sci. Technol. 45, 2698–2703. Web of Science CrossRef CAS PubMed Google Scholar
Prieur, D. B., Popa, K., Vigier, J., Scheinost, A. C. & Martin, P. M. (2019). J. Nucl. Mater. 516, 303–308. Web of Science CrossRef CAS Google Scholar
Rai, D. & Swanson, J. L. (1981). Nucl. Technol. 54, 107–112. CrossRef CAS Web of Science Google Scholar
Rand, M., Fuger, J., Grenthe, I., Neck, V. & Rai, D. (2008). Chemical Thermodynamics of Thorium. OECD Nuclear Energy Agency. Google Scholar
Rehr, J. J. & Albers, R. C. (2000). Rev. Mod. Phys. 72, 621–654. Web of Science CrossRef CAS Google Scholar
Romanchuk, A. Y., Plakhova, T. V., Egorov, A. V., Egorova, T. B., Dorovatovskii, P. V., Zubavichus, Y. V., Shiryaev, A. A. & Kalmykov, S. N. (2018). Dalton Trans. 47, 11239–11244. Web of Science CrossRef CAS PubMed Google Scholar
Rothe, J., Walther, C., Brendebach, B., Büchner, S., Fuss, M., Denecke, M. A. & Geckeis, H. (2009). J. Phys. Conf. Ser. 190, 012188. CrossRef Google Scholar
Rothe, J. J., Walther, C., Denecke, M. A. & Fanghänel, T. (2004). Inorg. Chem. 43, 4708–4718. Web of Science CrossRef PubMed CAS Google Scholar
Shido, T. & Prins, R. (1998). J. Phys. Chem. B, 102, 8426–8435. Web of Science CrossRef CAS Google Scholar
Silver, G. L. (2001). J. Radioanal. Nucl. Chem. 247, 561–562. Web of Science CrossRef CAS Google Scholar
Svetogorov, R. D., Dorovatovskii, P. V. & Lazarenko, V. A. (2020). Cryst. Res. Technol. 55, 1900184. Web of Science CrossRef Google Scholar
Thiyagarajan, P., Diamond, H., Soderholm, L., Horwitz, E. P., Toth, L. M. & Felker, L. K. (1990). Inorg. Chem. 29, 1902–1907. CrossRef CAS Web of Science Google Scholar
Triay, I. R., Hobart, D. E., Mitchell, A. J., Newton, T. W., Ott, M. A., Palmer, P. D., Rundberg, R. S. & Thompson, J. L. (1991). Radiochim. Acta, 52–53, 127–132. CrossRef CAS Google Scholar
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