Abstract
14N nuclear quadrupole resonance (NQR) lineshapes mostly contain information of low interest, although in nanocrystals they may display some unexpected behaviour. In this work, we present an ab initio computational study of the 14N NQR lineshapes in urea nanocrystals as a function of the nanocrystal size and geometry, focusing on the surface induced broadening of the lineshapes. The lineshapes were obtained through a calculation of the electric field gradient for each nitrogen site in the nanocrystal separately, taking into account the individual crystal field by embedding the molecule of interest in a suitable lattice of point multipoles representing other urea molecules in the nanocrystal. The small influence of distant molecules is found with a series expansion, using the in-crystal Sternheimer shieldings which we also calculated ab initio. We have considered nanocrystals with two geometries: a sphere and a cube, with characteristic sizes between 5 and 100 nm. Our calculations suggest that there is a dramatic difference between the linewidths for the two geometries. For spheres, we find a steep drop in linewidths at ∼10 nm; at 5 nm the linewidth is ∼11 kHz, whereas for sizes above 20 nm the linewidth is practically negligible (<100 Hz). For cubes, on the other hand, we find a steady 1/size decrease, from 12 kHz at 10 nm to 1.2 kHz at 100 nm. This analysis is important for 14N NQR spectroscopy of crystalline pharmaceuticals, where nanoparticles are increasingly more often embedded in some sort of matrix. Although this is only a theoretical analysis, we believe that this work can serve as a guidance for the forthcoming experimental analysis.
I. INTRODUCTION
14N Nuclear Quadrupole Resonance (NQR) spectroscopy of nitrogen containing molecular crystals is nowadays used predominantly for validation of ab initio and density functional theory (DFT) calculations of molecular electronic structures in crystals.1–7 To a lesser extent, 14N NQR is used also for identification and quantification of nitrogen containing molecular crystals in heterogeneous compounds,8,9 e.g., discriminating between crystalline and amorphous structures, between polymorphs,10,11 hydrates and anhydrates,12,13 co-crystals,14 and others.
In bulk, the 14N NQR resonances are very narrow, less than 1 kHz wide, so the parameter of interest is the 14N NQR frequency, which is compound and crystal structure specific and is confined to a range between few kHz and ∼5 MHz. Many ab initio studies have been published to date whose aim was to reproduce the experimentally observed 14N NQR frequencies or parameters, e.g., Ref. 15. Practically all of them are concerned with calculations of the electric field gradient (EFG) at the nitrogen site in bulk, from which the 14N NQR frequencies are easily obtained. A typically achieved agreement is around 10%, and is most often limited by molecular vibrations/librations not taken into account, rather than the shortcomings of the ab initio approach.
In nanocrystals we still expect to observe the 14N NQR resonances, although some size effects, which would prevent this observation cannot be excluded. Namely, nitrogen nuclei close to the surface experience a different environment than those in bulk. As a result, their individual NQR frequency will be shifted from the bulk frequency, which will eventually result in broadening (or perhaps shift) of the resonance. Small amounts of broadening are not much of an issue, however, as the linewidths exceed ∼10 kHz, which is a typical 14N NQR bandwidth, the resonances become very difficult to spot. The problem is an even lower S/N ratio than normal. Double resonance techniques do allow for the observation of wider 14N resonances, but at the expense of accuracy and the ability to provide quantitative information.
The failure to detect some nanocrystals, e.g., smaller ones, but not the larger ones can have serious consequences for the interpretation of otherwise simple 14N NQR spectra and could undermine the reputation of NQR as non-sensitive to the physical form of the sample. This problem has become relevant for 14N NQR spectroscopy only recently, when pharmaceutical substances, which are often nitrogen containing molecular crystals and can be studied with 14N NQR,8,11,16,17 became increasingly more often prepared as nanocrystals embedded in some sort of matrix. Nanocrystals are here preferred due to their large surface area, which increases the dissolution rates, and are of particular importance for poorly water soluble molecules. The later are estimated to comprise ∼40% of all APIs. So far, there have been no reports on any observation of classical 14N NQR in nanocrystals, so that the extent of size-dependent broadening is not known. There is however a 14N NQR study of a single 30-nm thick flake of hexagonal boron nitride,18 where the detection was accomplished through a nitrogen vacancy center in diamond used as a sensitive, atomic-scale magnetic field sensor. Here, the 14N NQR signal of a nanocrystal is observable however, the quadrupole couplings involved are very small (∼150 kHz) and make the corresponding size-dependent broadening small compared to other broadening mechanisms and thus difficult to observe.
In order to provide some insight into the subject, we decided to theoretically investigate the size-lineshape relationship of the 14N NQR resonance in nanocrystals with ab initio techniques. The aim was to provide quantitative parameters relating the surface induced broadening and nanocrystal size. We have chosen urea for this study. Urea is a small molecule with a simple crystal structure and should therefore facilitate ab initio calculations. In addition, urea has a strong 14N NQR signal and is because of this a good candidate to use in future experimental studies. Since 14N NQR is not a sensitive technique, one cannot hope to detect individual nanocrystals, but rather macroscopic ensambles of nanocrystals. If these nanocrystals are sufficiently separated among themselves, then one can consider each individual nanocrystal to be an isolated nanocrystal. Further on, if the nanocrystals are also reasonably uniform in size and shape, then the ensamble NQR lineshape should represent also the otherwise unobtainable lineshape of an isolated nanocrystal of a given size and shape.
We choose two nanocrystal geometries, a sphere and a cube, and calculated the EFG tensor for each nitrogen site within an isolated nanocrystal for several nanocrystal sizes. The EFG’s are calculated ab initio with the second-order Møller-Plesset (MP2) perturbation approximation. The crystal field effects were modeled by embedding a single urea molecule in a lattice of point multipoles representing the charge distributions of other urea molecules in the nanocrystal. In principle, one would have to do an ab initio calculation for each molecule in the nanocrystal separately, using its own arrangement of neighboring molecules, which takes into account the finite size of the nanocrystal. This would however consume a lot of resources. Instead, we reduced the number of ab initio calculations by calculating the EFG for similar environments with a series expansion for which we calculate the coefficients ab initio. The found EFGs are then used to predict the width of the 14N NQR resonance as the nanocrystals increase in size.
II. MODELS AND METHODS
The urea crystal is tetragonal with the space group and lattice parameters a = b = 5.645 Å and c = 4.704 Å at room temperature. There are two urea molecules in the unit cell (Z = 2), and each urea molecule contains two nitrogens, all nitrogens are crystallographically equivalent. The molecular structure and the here used molecular coordinate system are shown in Fig. 1(a) while the unit cell in Fig. 1(b). In all calculations we use the published structure by Guth et al.19 at 293 K.
FIG. 1.
In (a), the urea molecule and the molecular coordinate system, (b) the urea unit cell, and (c) a view along the crystallographic c axis of the urea crystal, showing the first few cubic layers around the molecule in the center. A solid line links the centers of all molecules that belong to the same layer. There are 8 molecules in layer 1, 26 molecules in layer 2, and 56 molecules in layer 3. Here, only molecules in two planes running perpendicular to the c axis are shown.
We consider two nanocrystal geometries with sizes up to 200 unit cells: (i) a spherical nanocrystal, consisting of approximately equal number of unit cells in each direction and (ii) a cubic nanocrystal, consisting of the same number of unit cells in each of the three crystallographic axes.
The EFG for a nitrogen site of interest in the nanocrystal is calculated with the embedded molecule approach, where the molecule containing the nitrogen site (the ab initio molecule) is embedded in a lattice of multipoles representing the charge distribution of other urea molecules in the nanocrystal (the lattice molecules). Lattice molecules close to the ab initio molecule are represented with multipoles positioned at each atomic site of the molecule, hereafter referred to as point multipoles. The remaining lattice molecules are represented by an equivalent electric field, EFG, and electric field hyper gradient. These fields are calculated using point multipoles or a simpler multipole representation for the molecule with multipoles located only on the carbon site, hereafter referred to as molecular multipoles. The charge distribution of all urea molecules in the nanocrystal (the ab initio molecule excluded) is assumed to be equal and corresponding to the charge distribution of a molecule in bulk.
The molecules around the ab initio molecule are grouped into cubic layers as shown in Fig. 1(c) (molecules within a single layer are all parallel). The occupancy of each layer depends on the ab initio molecule position within the nanocrystal.
The EFG for a nitrogen site in the ab initio molecule embedded in at least n layers, where the first n layers are fully occupied, is calculated with a series expansion20,21
| (1) |
Here, is the EFG contribution due to molecules in the first n layers, whereas molecules in the remaining layers are taken into account indirectly through the electric field and its derivatives , produced at the nitrogen site of interest. The expansion coefficients , , and are known as the generalized Sternheimer (anti)shieldings, while and as the EFG polarizabilities and hyperpolarizabilities, respectively. All expansion coefficients are, similarly as a function of n, although this is not explicitly shown. In a similar way, , , depend on the nitrogen site location in the nanocrystal, but this is not explicitly shown. In Eq. (1), the indexes α, β, refer to the Cartesian directions x, y, and z, while we use the Einstein convention of sums over repeated indices. The expansion coefficients ( and the shieldings) are calculated ab initio, where we use the finite field (FF) method to determine shieldings. We will hereafter refer to the approximation in Eq. (1) as the Sternheimer approximation, even though it contains some nonlinear terms, which are not described with the generalized Sternheimer (anti)shieldings.
The number of shieldings required to describe a molecule is in general large. For example, there are 15 , 25 , and 35 coefficients.20 For symmetric sites, the number of independent coefficients is smaller, for the nitrogen site in urea (Cs symmetry) we have: 8 , 13 , and 18 . The two nitrogen sites in the urea molecule, which are crystallographically equivalent, are equivalent also when embedded in fully occupied cubic layers as defined in Fig. (1). Thus both and the shielding parameters for the two sites are related: quantities with an even number of z indexes are equal for both nitrogen sites, whereas, quantities with an odd number of z indexes have opposite signs.
We inspect five values for n, . However, as we will show, a single value (n = 2) is sufficient to describe the nanocrystal NQR linewidth adequately.
The urea charge distribution in bulk is found self-consistently for a molecule embedded in 100 fully occupied layers. This charge distribution is found with an iterative approach, starting with a charge distribution for an isolated molecule and finding a new distribution in each iteration until this converges. We here use the Stone’s distributed multipole analysis22 to find the point multipoles, which are then used to calculate the molecular multipoles.
We focus only on the highest 14N (spin I = 1) NQR transition, with a frequency
| (2) |
which is referred to as the NQR frequency. The results for should be similar, whereas is typically very low and thus not interesting. The frequency is related to the EFG through the quadrupole coupling constant Cq = e2qQ/h and the EFG tensor asymmetry parameter η, where eq is the EFG largest principal component, while Q is the electric quadrupole moment of the 14N nucleus. We will here use but keep in mind that this value is not known very accurately.
All ab initio calculations were done with the Firefly QC package,23 which is partially based on the GAMESS (US)24 source code. We used the aug-cc-pVDZ and aug-cc-pVTZ basis sets and correlate only valence electrons in the MP2 calculations. The Firefly input files were prepared with Mathematica, as these are especially cumbersome when embedded multipoles are being used.
III. RESULTS AND DISCUSSION
A. Bulk properties
We first calculated the charge distribution (point and molecular multipoles) for an urea molecule in bulk at the Hartree-Fock (HF) and MP2 levels of theory using the aug-cc-pVDZ and aug-cc-pVTZ basis sets. The molecular multipoles are shown in Table I, whereas the point multipoles in the supplementary material. The bulk EFG tensors and the associated NQR parameters, which are also found during these calculations, are shown in Table II.
TABLE I.
The calculated and experimental molecular dipole moment (pz) and quadrupole moment components qxx and qyy (qzz = −qxx − qyy) for the urea molecule in bulk. The nonlisted components are 0 due to the C2v symmetry. The origin for the quadrupole moment is at the carbon site.
TABLE II.
The calculated EFG tensors (in a.u.) and the associated NQR parameters for the urea molecule in bulk and for the isolated molecule, together with the NQR experimental values at room temperature.
| Bulk | ||||||
|---|---|---|---|---|---|---|
| HF | MP2 | Experiment | Isolated moleculea MP2/aug-cc-pVTZ | |||
| aug-cc-pVDZ | aug-cc-pVTZ | aug-cc-pVDZ | aug-cc-pVTZ | |||
| Vyy | 0.9169 | 0.8774 | 0.7819 | 0.7788 | 0.9839 | |
| Vxx − Vzz | −0.0821 | −0.0855 | −0.0755 | −0.0850 | 0.0185 | |
| Vxz | 0.0897 | 0.0942 | 0.0815 | 0.0938 | 0.0311 | |
| Cq (kHz) | 4308.63 | 4123.13 | 3674.23 | 3659.56 | 3412.3 | 4411.94 |
| η | 0.22 | 0.24 | 0.23 | 0.26 | 0.3131 | 0.07 |
| (kHz) | 3463.2 | 3335.4 | 2966.7 | 2986.5 | 2826 | 3385.2 |
| (kHz) | 2999.7 | 2849.3 | 2544.7 | 2502.8 | 2292 | 3232.7 |
| (kHz) | 463.5 | 486.1 | 422.0 | 483.8 | 534 | 152.6 |
Using crystal geometry.
The inspection of the results reveals that the molecular dipole moment (pz) is not very sensitive to the level of theory and the basis set, the variations are less than 2%. The values we find are in perfect agreement with calculations by Santos et al.25 which also used embedded molecules, their MP2/aug-cc-pVDZ pz = −2.966 a.u. is very close to pz = −3.013 a.u. calculated here. The in-crystal dipole moment is a rather difficult quantity to determine experimentally. Birkendal et al.26 used synchrotron diffraction and fitted the data to a multipole expansion model for the urea molecule. Their pz = −2.457 a.u. is reasonably close to the values calculated in this study. Contrary to pz, we do observe substantial variations of the point multipoles (supplementary material) determined in different cases. This is however expected and is due to the Stones’s distributed multipole analysis used here, which is known to be very basis set dependent. Nevertheless, these variations are not reflected in the electrostatic potential outside the molecule, which is relevant for our calculations. The potential was shown to converge upon increasing the basis sets.27
The EFG tensors shown in Table II correspond to the 14N atom on the right hand side in Fig. 1(a), whereas the NQR parameters are the same for both 14N nuclei in the molecule. The variations between the EFG components are larger for HF calculations than they are for the MP2 calculations upon a change of the basis set. Unfortunately we cannot make a comparison with experimental values because these have not been determined for urea (as it is generally the case for 14N). We thus restrict our comparison to NQR parameters Cq and η.
The HF Cq values for both basis sets are significantly larger then the experimental Cq, the aug-cc-pVDZ by 26% and the aug-cc-pVTZ by 20%, with an apparent trend toward the experimental value for larger basis sets. The MP2 values are much closer to the experimentally determined value, for both basis sets they are ∼7% larger. The difference between the values for the two basis sets is small and amounts to ∼0.4% with a trend toward the experimental value. We were not able to use an even larger basis set to see if the trend persists; however, based on the extrapolation of the above results, it is unreasonable to expect that only an increase of the basis set would bridge the gap. The differences between the HF and MP2 calculations found here are in agreement with the studies by Coriani et al.,28 who found that the electron correlation is non-negligible for the EFG calculations, although the effects are not dramatic. In a separate calculation (not shown), we also included octupoles in the multipole description of the urea molecule, but the changes in the parameters were smaller than 0.5%. The discrepancy between the MP2 values and experimental results is in our opinion rather small, given the approximations that were used in the ab initio calculations (the embedded molecule) and the complete neglecting of lattice vibrations and molecular librations. The later process alone can change Cq by as much as 5%.
The asymmetry parameter η is found to be much smaller than the experimentally observed η in all cases. Similarly as for Cq, the discrepancies are most likely due to crystal field approximations and unaccounted lattice vibrations and/or molecular librations.
In Table II we show also our MP2/aug-cc-pVTZ calculation for an isolated urea molecule, with the same geometry as in bulk (the urea geometry in gas is slightly different). These results can be used to determine the influence of crystal fields. We find that crystal fields have a non-negligible influence on the EFG, as all components change substantially. The difference between the two Cq is quite large, we observe a reduction upon embedding the molecule by 17%, which is within the range of values typically observed for small molecules.29 The influence of the crystal field on η is rather dramatic, it changes form in an isolated molecule to in bulk.
B. The Sternheimer approximation in a crystalline environment
The expansion coefficients , , , , and were calculated at the MP2 level of theory using the aug-cc-pVTZ basis set for n = 0, 1, 2, 3, and 4. In Table III we list: , and for n = 0, 2, 4. The linear parameters were calculated using 5 independent EFGs with nonzero components , whereas for we used 7 independent electric field hyper gradients with nonzero components . For and , which were calculated together, we used 112 electric fields with , and in increments of 0.001.We here took advantage of the molecular symmetry by utilizing the EFGs of both 14N in the urea molecule.
TABLE III.
EFG components (in a.u.) and shieldings (in a.u.) and for an isolated molecule (n = 0) and embedded molecule with n = 2 and n = 4. The nonlisted coefficients are zero due to symmetry.
| Isolated molecule | Embedded molecule | ||
|---|---|---|---|
| n = 0 | n = 2 | n = 4 | |
| 0.9389 | 0.7840 | 0.7828 | |
| 0.0184 | −0.0849 | −0.0879 | |
| 0.0311 | 0.0881 | 0.0881 | |
| gxx,x | 2.439 | 3.082 | 3.085 |
| gxx,z | 2.407 | 1.787 | 1.780 |
| gxy,y | 1.196 | 0.883 | 0.887 |
| gxz,x | 2.794 | 2.814 | 2.819 |
| gxz,z | 0.198 | −0.025 | −0.027 |
| gyz,y | −0.932 | −0.583 | −0.577 |
| gzz,x | 1.284 | 2.185 | 2.184 |
| gzz,z | −4.756 | −4.576 | −4.569 |
| gxx,xx | 4.064 | 2.744 | 2.739 |
| gxx,xz | 1.741 | 1.758 | 1.757 |
| gxx,zz | −2.027 | −1.536 | −1.532 |
| gxy,xy | 1.578 | 1.178 | 1.182 |
| gxy,yz | 0.678 | 0.728 | 0.729 |
| gxz,xx | 0.161 | 0.223 | 0.226 |
| gxz,xz | 2.262 | 2.371 | 2.376 |
| gxz,zz | −0.779 | −0.869 | −0.875 |
| gyz,xy | 0.603 | 0.712 | 0.713 |
| gyz,yz | 2.446 | 1.834 | 1.830 |
| gzz,xx | −3.160 | −3.691 | −3.692 |
| gzz,xz | 0.191 | 0.222 | 0.223 |
| gzz,zz | 4.358 | 4.148 | 4.147 |
Inspecting Table III one notes that there is a significant difference between the values for an isolated molecule and the embedded ones, whereas there is a very small difference between the embedded molecules and the bulk found previously. For the Sternheimer shieldings, we find an analogous situation, as expected. In a separate calculation (not shown), we have calculated also the Sternheimer shieldings for bulk and found that they are negligibly different from the n = 4 case.
In literature, there are just a few reports on Sternheimer shieldings and EFG polarizabilities for 14N. The ones we found are for several linear molecules; N2, HCN, and HNC, and for NH3, all for isolated cases. The comparison of the coefficients between different molecules is usually done using two rotationally invariant coefficients and , while we here introduce an additional rotationally invariant shielding that can be used instead of gzz,z for linear molecules. A comparison between the published data and the results found here is shown in Table IV. The values for urea are within the range of values found for other molecules.
TABLE IV.
Comparison of rotationally invariant shieldings for some small molecules and the current calculations for an isolated (n = 0) and embedded (n = 2) urea molecule.
Having found the expansion coefficients, we proceed now to assess the usefulness of the Sternheimer approximation (Eq. (1)) for the calculation of EFGs in (nano)crystals. The quality of the approximation will be assessed from the NQR point of view, monitoring the frequency for a molecule embedded in n + 1 layers, where the first n layers are fully occupied, while there is a single molecule in layer n + 1. The frequency of such an embedded molecule is calculated twice: (i) with the embedded molecule approach using molecules in all n + 1 layers and (ii) using the Sternheimer approximation for a molecule embedded in n layers and perturbed by a molecule in layer n + 1. For each n, we find an average error (the standard deviation ) as the molecule in layer n + 1 is moved through all the possible positions in that layer. In addition, for each n we define as the difference between the largest and smallest calculated frequency. We use as a rough measure for the width of the lineshape of an embedded molecule having fully occupied layers while having only partially occupied any remaining layers. This linewidth is primarily influenced by the occupancy of the n + 1 layer so that should give us a reasonable estimate. For an easier comparison of the linewidths, we define also , as the frequency of a molecule embedded in fully occupied layers , which can be calculated from the previously found . For large n, approaches the bulk frequency, designated by . A summary of the analysis is shown in Table V.
TABLE V.
The accuracy of the Sternheimer approximation for the calculation of frequency in crystals as a function of n and series expansion length. The approximated EFG for each site is calculated using Eq. (1) first by using only the terms and then progressively adding the other listed terms. The direct EFG contribution, which is not related to any shieldings, was always taken into account.
| n | (kHz) | (kHz) | Approximation error (kHz) | |||||
|---|---|---|---|---|---|---|---|---|
| Point multipoles | Molecular multipoles | |||||||
| 0 | 3385.25 | 174.0 | 18.98 | 19.38 | 12.94 | 16.20 | 28.09 | 18.88 |
| 1 | 3131.53 | 179.5 | 26.36 | 6.770 | 3.871 | 4.523 | 25.67 | 11.15 |
| 2 | 2989.50 | 35.46 | 1.249 | 0.316 | 0.209 | 0.216 | 1.482 | 0.530 |
| 3 | 2990.20 | 14.60 | 0.548 | 0.113 | 0.021 | 0.018 | 0.576 | 0.190 |
| 4 | 2986.41 | 7.777 | 0.157 | 0.024 | 0.008 | 0.007 | 0.164 | 0.046 |
| 2986.55 | ||||||||
We first inspect and note that quickly converges toward as the number of layers increases; the shift from the bulk frequency for n = 1 is ∼145 kHz, for n = 2 it is already ∼3 kHz, whereas for n = 4 it is merely ∼150 Hz, suggesting the convergence of the NQR frequency. This very quick convergence is at least in part due to the symmetric choice of cubic layers. In fact, inspecting , we note that although Hz, the corresponding kHz, that is, 50 times larger. This means that the 14N NQR frequency of a molecule embedded in 4 layers is still very influenced by the configuration in layer 5. The situation is expectedly worse for smaller n as are much larger. Based on the values of from Table V, we conclude that molecules having partially filled layers 1 or 2, i.e., with n = 0 and n = 1, respectively, are most likely unobservable with NQR, regardless of the configuration in other layers, as both kHz and kHz are substantially larger than the typical NQR observation window, which is approximately 10 kHz.
By inspecting in Table V, we note that the Sternheimer approximation gives surprisingly good results, with errors smaller than 30 kHz, which comprises less than 1% of the bulk frequency. The accuracy in general increases as more terms are included in the series expansion. The relative contributions from different terms can be at least conceptually determined with the use of electric fields due to a dipole at a distance r: , , and . Upon ordering the terms in powers of r, we obtain a sequence as shown in Table V. However, in practice this order is not being followed at smaller n. We should also mention that the next important term in the series expansion is not as listed in Eq. (1), but rather a cross term , which is not shown in Eq. (1) and was also not included in this study. This aspect of the approximation was however not investigated further.
The best results of the Sternheimer approximation are obtained for n = 4 using all the calculated coefficients, where the fields are calculated using point multipoles. The error obtained is ∼7 Hz, which we find quite impressive. The approximation is expectedly the worst for n = 0, as for this n, the fields are the largest and a very long series would be needed for much better results. Of interest is also the n = 2 case, where kHz, a typical value of the NQR linewidth in bulk.
For large n, it is reasonable to calculate the fields (of the molecule in layer n + 1) with molecular multipoles instead of point multipoles and accepting an associated increase in the error, which however decreases with n. The results of such a calculation are also shown in Table V, where we show only the approximations using the Sternheimer shieldings: and . The errors indeed increase, in general by a factor of two. But nevertheless, for these remain below 1 kHz.
C. 14N NQR lineshapes
The 14N NQR lineshapes of nanocrystals and their widths were determined from frequencies of all nitrogen sites in the nanocrystal which have fully occupied layers 1 and 2, while having an arbitrary occupation of other layers. All nitrogen sites having partially filled layer 1 or layer 2 were discarded based on our previous conclusion that their NQR frequencies are two broadly distributed to be observable with NQR. The EFG for the included nitrogen sites were calculated with the Sternheimer approximation (Eq. (1)) considering only the linear terms and while using the n = 2 expansion coefficients (, , and ) shown in Table III. The electric fields in the Sternheimer approximation were calculated using molecular multipoles shown in Table I.
The sizes (l) for the two nanocrystals geometries, cubes, and spheres, were between 10 and 200 unit cells, where for cubes l is the edge length, while for spheres l is the diameter. The largest l = 200 roughly corresponds to a nanocrystal of size 100 nm. In Fig. 2 we show the NQR lineshape for each geometry for l = 100 and the linewidth () dependence on l. The lineshapes for other l are similar to the two l = 100 lineshapes for each geometry separately; they are all centered at the bulk NQR frequency and essentially a wider or narrower version of the two l = 100 lineshapes. The presented lineshapes have been smoothed with a Gaussian function ( Hz).
FIG. 2.
Two representative NQR spectra and the corresponding size-linewidth dependence for two nanocrystal geometries: (i) spheres (open blue circles) and (ii) cubes (open red squares). The representative spectra are calculated for a nanocrystal size of 100 unit cells.
For cubes, all lineshapes show some structure, especially the two singularities close to the center, which are probably due to 14N just below the surfaces. At larger l, the two singularities come closer together; however, they are still resolved at l = 200. For l = 10, the lineshape is very broad and is most likely too wide to be observed with pure NQR. The lineshapes for are narrower, kHz so that they should be observable with pure NQR. The linewidths for cubes seem to be inversely proportional to the nanocrystal size. In Fig. 2 we show a fit obtained with
| (3) |
where kHz and l0 = 18.1.
For spheres, the lineshapes are strikingly different than those for cubes. They are bell shaped curves, centered at the bulk frequency, and without any additional feature. For l = 10, we already find a rather narrow lineshape with kHz, which is a value observable with pure NQR. For larger l, the linewidth steeply drops, for l = 100 Hz, which is barely larger than the linewidth of the smoothing function.
The difference between the linewidths for the two geometries is not completely unexpected and can be rather easily explained. We model our nanocrystal with a superposition of two slightly shifted uniformly polarized objects (in this case, a cube or a sphere) with opposite polarizations. Here the two objects represent the two urea sublattices in the nanocrystal: one sublattice contains all urea molecules oriented along the +z direction, whereas the other sublattice represents the remaining urea molecules, where all point in the −z direction (see Fig. 1(b)). The shift of the two objects is due to the shift of the two sublattices, which coincides with the shift of the two urea molecules in the unit cell. We aim now to calculate the electric field inside the superimposed objects.
The electric field inside a uniformly polarized sphere is known to be homogeneous and pointing in the direction of the polarization. Thus, the superposition of two spheres with opposite polarization yields a zero net electric field over most of the superimposed sphere (the field is nonzero only for a very small surface region). Together with the electric field also the EFG tensor and higher derivatives are zero. Thus, all 14N in our urea spherical nanocrystal experience the same (zero) electric field and as a consequence, the NQR lineshape is expected to be very narrow. In contrast, the electric field of a uniformly polarized cube is inhomogeneous and can be calculated analytically only for special cases. The inhomogeneity combined with the shift of the two cubes with opposite polarization results in a nonzero electric field throughout the superimposed cube. The electric field is still very small at the center of the cube but increases almost linearly toward its surface. We have here derived an analytical expression for the superimposed cube electric field along the z axis which passes through the center of the cube. The field at the surface of a cube with edge lcube aligned with the coordinate axes is
| (4) |
where is a component of the unit cell quadrupole moment, V0 is the unit cell volume, whereas cx = cy = −3.336, while cz = 5.004. Using this field and assuming an overall linear scaling of fields inside the cubic nanocrystal, one can qualitatively estimate the lineshape-size dependence. In general, the electric field associated contribution to the EFG is small, , so that the NQR frequency can be shown to be approximately linearly proportional to . Then, one can easily deduce also a linear relationship between the linewidth and the surface field. The proportionality of the later with 1/lcube is thus reflected in the dependence.
To check the influence of the used Sternheimer approximation on the lineshapes, we made two additional lineshape calculations for an l = 100 cube: one by increasing the series expansion with the terms and thus improving the approximation, while the other by removing , and thus worsening the approximation. The improved approximation resulted in unnoticeable change of the lineshape. It thus appears that most of the changes are efficiently buried by the smoothing function. A shorter series expansion, on the other hand, produced an overall shift of the lineshape by 3.2 kHz, whereas the lineshape remained essentially unchanged. Based on these calculations, we also conclude that the electric fields through the shieldings are the main agent of the NQR size-dependent lineshape broadening, whereas the contributions of other terms () are very small.
The assumption most seriously affecting our calculations is the use of a single charge distribution for all the urea molecules in the nanocrystal, apart for the embedded molecule of interest. As we have seen, for spheres, the electric fields are actually zero, so that the assumption seems quite justified. In cubes, however, the electric fields are inhomogeneous, and the urea dipole moment (quadrupole as well) will depend on the position of the molecule within the crystal. This variation significantly complicates calculations and its inclusion in calculations was out of the scope of this work. Nevertheless, we can simply estimate the size of the effect on the frequency. Using Eq. (4), the unit cell quadrupole moment and V0 = 1011.56, both in atomic units, we can calculate the electric field on the cube’s surface. For lcube = 100c we obtain atomic units. Then, using the calculated linear polarizability for urea25 of in atomic units gives a change of the dipole moment by % at the surface compared to the one in the center of the cube, where the electric field is zero. This number might not seem substantial at first, but a very rough estimate for the corresponding change of the NQR frequency is kHz, which is much larger than the here found kHz for an l = 100 cube. However, the problem is inherently nonlinear and only suggests that this mechanism should be included in the calculations, especially for non-spherical geometries.
Inevitably the lineshape of a real sample will be broadened also by some other mechanisms, which we have not taken into account in this study. For example, the nanocrystals might include lattice imperfections, strains, impurities all well known broadening mechanisms. In addition, the here used approximation completely neglects all molecular motions and lattice vibrations, which can also induce broadening/narrowing. And finally, our model of isolated nanocrystals is certainly very difficult to experimentally realise, meaning that neighboring nanocrystals will mutually influence each other, most likely by introducing additional broadening. Some of these mechanisms can be rather easily removed experimentally, e.g., by meticulous sample preparation or by cooling the samples, whereas others, like nanocrystal-nanocrystal interaction, might be more difficult to remove. Nevertheless, the here calculated linewidth is at the core of the size-induced broadening and should serve as a reference for other mechanisms.
IV. CONCLUSIONS
We have used ab initio techniques to find the electric field gradient (EFG) tensor for each nitrogen site in the urea nanocrystals of two geometries, spheres and cubes, of various sizes, where we used the embedded molecule approach to include the crystal fields. The influence of distant molecules was found using a Sternheimer series expansion, whose coefficients were calculated within this study with the ab initio finite field method. The found EFG tensors were used to form the 14N lineshape of the NQR spectrum.
We find that the lineshape mean frequency is practically independent of the nanocrystal size and geometry, and corresponds to the frequency in bulk. The linewidth, on the other hand, is size dependent: for both geometries, it decreases as the nanocrystal size is increased, as expected. However, there is a striking difference between the linewidths of the two geometries. For cubes, we find a smooth 1/size dependence; for sizes <10 nm the lineshape is probably too broad to be observed with pure NQR techniques, for a size ∼10 nm, it is ∼12 kHz, but even for the size ∼100 nm, the lineshape is still considered broad by the 14N NQR standards, as it is ∼2 kHz wide. The lineshape for spheres is narrow and is within the 14N NQR observation window already for the smallest nanocrystals studied here, ∼5 nm, where it is ∼12 kHz. For a larger nanocrystal, the linewidth quickly drops to a negligible value, determined here by the used broadening function (22 Hz). Thus, spherical nanocrystals should almost always yield very sharp 14N NQR resonances. We thus foresee that 14N NQR spectroscopy is a viable technique to study nanocrystals; however, its applicability is expected to be variable, depending on the nanocrystals size and geometry.
SUPPLEMENTARY MATERIAL
See supplementary material for point multipole expansion of the urea molecule in bulk calculated with the embedded molecule approach at the MP2 level for basis sets aug-cc-pVDZ and aug-cc-pVTZ.
ACKNOWLEDGMENTS
Funding for the project was provided by the Slovenian Research Agency, Program No. P1-0125.
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Supplementary Materials
See supplementary material for point multipole expansion of the urea molecule in bulk calculated with the embedded molecule approach at the MP2 level for basis sets aug-cc-pVDZ and aug-cc-pVTZ.


