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Zr4+ diffusion-doping effect on refractive index of LiNbO3: A comparison with bulk-doping case

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Abstract

Zr4+-doped LiNbO3 plates were prepared by diffusion of ZrO2 films coated onto congruent LiNbO3 substrates in wet O2. After diffusion, Zr4+-doping effect on refractive index of LiNbO3 and Li2O out diffusion were studied by prism coupling technique. The results show that the Li2O out diffusion is ignorable and Zr4+ doping has little effect on both the ordinary and extraordinary indices. The little effect of diffusion-doping is clearly different from the bulk doping case reported previously, in which both ordinary and extraordinary indices show definite Zr4+ doping concentration effect. The difference is attributed to the different ion arrangements from crystal growth to in-diffusion.

© 2014 Optical Society of America

1. Introduction

Photorefraction in LiNbO3 (LN) is a detrimental effect in the view of integrated optics. Although a family of Ti (vapor Zn)-diffused Er:LiNbO3 waveguide lasers (amplifiers) and integrated devices have been demonstrated over the past years [13], the photorefractive effect not only affects the performances of these devices, but also limits both the pumping and operating wavelengths, and hence hinders further development of novel devices. Although doping with > 4.9 mol% Mg can eliminate the effect [4], heavy Mg doping causes difficulty in growing high optical-quality single-crystal when co-doped with the luminescent rare-earth ions, and decrease in both solubility and diffusivity as the rare-earth ions are incorporated by diffusion method. It is essential to seek other dopants that have lower threshold concentration of photorefractive damage. In addition to the much studied Mg2+, other dopants like the divalent Zn2+ [5], trivalent Sc3+ [6], Tm3+ [7], and In 3+ [8], and tetravalent Hf4+ [9], Zr4+ [10] and Sn4+ [11] can also suppress the photorefractive effect, and for a congruent crystal the threshold concentration is 7.5, 2.0, unknown, 3.0, 4.0, 2.0 and 2.5 mol%, respectively. Among them, the Sc3+ and Zr4+ display the lower threshold, 2 mol% only. The low threshold concentration favors to improve the optical quality of crystal and prompt the diffusivity and solid solubility of codoped rare-earth ions. Therefore, an LN crystal doped with > 2 mol% Sc3+ or Zr4+ would be more promising for developing a photorefractive-damage-resistant waveguide device.

As an alternative, a Zr4+-doped LN can be prepared by either the crystal growth technique or the method of Zr4+ diffusion doping. The refractive index of Zr4+-doped LN is the basic knowledge for applications. In particular, for the conventional Ti-diffused LN waveguide, which is usually fabricated by in-diffusion of a 6-10-µm-wide, 100-nm-thick Ti-strip at ~1050 °C for 9 h, the Ti4+-induced no and ne increments at the 1.5 µm are only ~0.005 and ~0.012, respectively. It is unclear if the Zr4+ diffusion-doping contributes to the LN index. If so, it is crucial to know if the contribution is comparable to the Ti4+-induced increment. In the case of bulk Zr4+-doping, Nava et al. [12] has reported that the Zr4+ doping definitely changes the LN index and the change is comparable to the index increment of Ti:LN waveguide. It is unclear if this is also true for the Zr4+ diffusion doping case. It is essential to carry out a systematic study on Zr4+ diffusion-doping effect on the LN index. Present work focuses on this aspect of study and shows that the effect of diffusion-doping is small and clearly different from the bulk doping case.

2. Experimental methods

Twelve Z-cut congruent LN plates with 0.5-mm thickness and optical grade surfaces were used in present study. At first, the no and ne values on surface of each as-grown plate were measured. Then, a ZrO2 (99.99%) film with a thickness of (40-100) ± 2 nm was coated onto a half surface of each plate while the other part remaining uncoated for reference.

After the ZrO2 film coating, the plates were annealed in the atmosphere of wet O2 in order to suppress the Li2O out diffusion. The diffusion temperature varied from 1000 °C to 1060 °C while the diffusion duration ranged from 2 h to 30 h. After diffusion, the no and ne values at the doped and undoped surface parts of each plate were measured. The index was measured at the 1311 and 1553 nm wavelengths using a Metricon 2010 prism coupler. The measurements, which were repeated at five different places on doped or undoped surface part of each sample, give an averaged index value.

Secondary ion mass spectrometry (SIMS) was used to analyze the depth profile of the diffused Zr4+ ions in the twelve samples in total. The analysis was accomplished by a time-of-flight second ion mass spectrometry [ToF SIMS V]. A Cs+-beam (~45 μm in diameter) of 28-35 nA at 3 keV was used to sputter a crater of either 120 × 120 or 150 × 150 μm2 and a pulsed Bi+ beam of 1 pA at 25 keV was used to analyze the negative secondary ions 7Li, 109NbO, 32O2 and 123ZrO2 as a function of time. Since the Zr has a rather low sensitivity in the case of usual positive ion detection scheme, here the negative ion detection scheme was adopted to promote the Zr sensitivity.

3. Results and discussion

3.1 Determination of surface Zr4+ concentration CZr

First of all, we describe how to determine the Zr4+ concentration CZr at the diffusion surface. As a representative, Fig. 1(a) shows the depth profiles of 7Li, 109NbO, 32O2, and 123ZrO2 signals detected from the sample coated with 80 nm thick ZrO2 film and annealed at 1060 °C for 10 h. The red-ball curve represents the ZrO2 profile. As expected, the substrate signals 7Li, 109NbO and 32O2 show constancy with the depth. The ZrO2 profile can be well fitted by a Gaussian function (this is also the case for the other samples),

I(z)=I(0)exp[(z/d)2],
where I(z) denotes the yield of secondary ZrO2 ions, d denotes the 1/e ZrO2 diffusion depth. The fitting result is plotted by the green solid-line and the fitting expression is indicated. According to the diffusion theory, the diffused Zr4+ ions should follow two possible profile types. One is the profile of an error function of complement (erfc) and another is the Gaussian profile. The former corresponds to the case that the diffusion reservoir is unexhausted because of the shorter diffusion time, and the latter to the case that the diffusion reservoir is depleted. Since the Zr4+ profiles in the studied samples all follow the Gaussian function, the diffusion reservoir has been thus depleted for each sample. This is clearly shown in Fig. 1(a), where the fitting plot covers well the measured near the crystal surface (if the diffusion reservoir is not depleted, the profile follows the erfc instead of Gaussian function, the fitting and the measured plots show definite misfit near the crystal surface and the measured ion yield is larger than the predicted there). While the unexhausted diffusion reservoir causes the rough crystal surface, which affects the further surface index characterization. the reservoir depletion ensures the smooth surface, which was verified by the observation using an optical microscope. The smooth surface facilitates the further index characterization.

 figure: Fig. 1

Fig. 1 (a) Depth profiles of 7Li, 109NbO, 32O2, and 123ZrO2 SIMS signals detected from a Z-cut LN plate coated with 80 nm ZrO2 and annealed at 1060 °C for 10 h in wet O2. The resultant CZr at surface is 4.1 ± 0.3 mol%. (b) Zr4+ diffusion-doping induced (a) Δne and (b) Δno measured as a function of surface Zr4+ concentration CZr.

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As the oxygen is homogeneous over the substrate, the ZrO2 profile represents actually the Zr4+ profile. Based upon Eq. (1), the Zr4+ concentration profile can be expressed as

C(z)=C(0)exp[(z/d)2],
where C(z) denotes the Zr4+ concentration at depth z. C(0) denotes the surface Zr4+ concentration, i. e. the surface CZr. It can be determined by applying the law of mass conservation to (2): C(0) = 2τCs/(dπ1/2), where τ is the initial thickness of ZrO2 film and Cs = ρNA/M with ρ, NA and M representing mass density of ZrO2 (5.89 g/cm3), Avogadro’s number and ZrO2 molecular weight, respectively. With known τ and d values, one can obtain CZr. The results are shown in Table 1. The error is ± 10%.

Tables Icon

Table 1. Surface CZr, refractive indices (at 1553 nm) at Zr4+-doped and undoped surface parts of LN plates prepared by Zr4+ diffusion. The Δno and Δne values are also given.

When studied the bulk Zr4+-doped nearly stoichiometric LN, Kovács et al. [13] suggested that the tetravalent ion doped LN has a defect model similar to the widely accepted one for the divalent (Mg2+ [14]) and trivalent (Sc3+ [15]) ion doped LN. The model suggests that the dopant enters the Li site and eliminates the antisite as its concentration is lower than the threshold. Higher than the threshold, some dopants enter into the Nb sites. Although one cannot confirm that this is also the case for the diffusion doping, a high concentration (up to 16 mol% considered here) increases the probability that the Zr4+ enters into the Nb site. For a substrate element like Nb, Li or O, the SIMScannot measure a constituent atom alteration of only several percents because the Cs+ beam sometimes has several percents fluctuation in intensity. Thus, from the Nb curve in Fig. 1(a) one cannot deduce convincing information about the Zr4+ occupation in lattice.

3.2 Zr4+ diffusion-doping effect on surface refractive index

As the refractive indices at the 1311 nm wavelength show similar Zr4+ doping effect to those at the 1553 nm wavelength, here we only discuss the 1553 nm results. Table 1 brings together the index values at the 1553 nm. The error is ± 1 × 10−3. Obviously, the difference of no or ne values at the doped and undoped parts of crystal surface reflects the Zr4+-doping effect, i. e., the above-mentioned Δno and Δne, which are also given in Table 1 for convenience. Figures 1(b) and 1(c) illustrate the Δno and Δne versus the surface CZr up to 16 mol%. For convenience, the error bar is indicated for each data. One can see that the Zr4+-doping contribution to the surface index is small for both ne and no. The largest changing amplitude, which is only 0.7 × 10−3 for ne and 0.3 × 10−3 for no, is within the experimental error of 10−3. We thus conclude that the Zr4+ diffusion-doping has little contribution to the LN index. This is clearly distinguished from the bulk-doping case. Nava et al. [12] has reported that in bulk-doping case the Zr4+ considerably affects the LN index. The no and ne depend on the CZr in a non-monotonic manner. Both decrease with CZr when CZr < Cth ( = 2 mol%). Near the Cth, the Δno and Δne reach their respective extremes −4.5 × 10−3 and −5.5 × 10−3, respectively, which are definitely beyond the error given by them [12], 3 × 10−3, and are comparable to the index increment of the usual Ti:LN waveguide. As CZr > Cth, both no and ne recover gradually, and Δno recovers to −1 × 10−3 and Δne to 2.5 × 10−3 at CZr = 3 mol%. As the CZr is further increased, both no and ne increase continuously in appearance. For straightforward comparison of two cases of bulk- and diffusion-doping, in Figs. 1(b) and 1(c) we have set the maximum scales of Δno and Δne as their respective amplitude extremes in the bulk-doping case. One can see that the difference between the two cases is evident. As described above, the bulk-doping case shows definite effect of concentration threshold of photorefractive damage. To check if the effect also takes place in the diffusion-doping case, we have carefully investigated the region between 2 and 5 mol% by considering more CZr values. One can see from Figs. 1(b) and 1(c) that the threshold effect cannot be identified at all.

In case without demonstrating that the Zr4+ diffusion-doped LN samples and the Zr4+ bulk-doped crystals have the same properties, it would be no surprise to observe different refractive indices. Indeed, the contribution of a dopant to the substrate index depends on many other factors, in addition to the dopant concentration. These include the strain caused by dopant-induced lattice mismatch, the enhancement of electronic polarizability of crystal cell due to the large difference of electronic polarizability between the constituent cations and the dopant, as well as the elasto-optic effect caused by lattice contraction or expansion. One or all of these factors may contribute to the index, and some factors may have a positive contribution while the others may have a negative contribution. The contributions of these factors may change from one dopant to another. Even for the same dopant, the contributions may also change from one ion environment to another. Regarding the issue concerned here, the ion arrangement may be different from crystal growth to in-diffusion, for which the lattice is already present. The change of ion arrangement leads to the alteration of ion environment and hence the change of the contributions of the above-mentioned factors to the LN index. It is possible that the net contribution is definite in the bulk-doping case while minor in the diffusion-doping case.

3.3 Zr4+ diffusion-doping effect on surface Li-composition and Li2O out diffusion issue

It is essential to know the Li+ composition at the Zr4+-doped and undoped surface parts of the studied samples and hence evaluate the Li2O out-diffusion extent during Zr4+ in-diffusion into the bulk of crystal. Here, the Li2O-contents at the doped and undoped surface parts of each plate were evaluated from the measured refractive indices using the Li2O-content-dependent Sellmeier equation [16]. Evaluations from the indices at 1311 and 1553 nm give an averaged Li2O-content. The error of refractive index, 10−3, yields a Li2O content uncertainty of 0.1 mol%. For the as-grown congruent plate, the Li2O content was evaluated as 48.5 ± 0.1 mol%, which is in excellent agreement with the nominal value. The agreement means that all of the Li2O-content data evaluated hereafter are sound. After the diffusion process, the averaged Li2O content at the Zr4+-doped surface is the same as that at the Zr4+-free surface within the ± 0.1 mol% error and this is the case for all the studied samples. Moreover, after the diffusion process the Li2O contents on surfaces of all plates studied are also the same as that of the as-grown plates, implying that the Li2O out-diffusion is ignorable for all the studied samples.

Finally, there is a point to be clarified regarding the little Zr4+ diffusion-doping effect on the LN index. One may query that the observed little effect may be due to the occurrence of such a circumstance: the Zr4+ diffusion-doping actually contributes negatively to the substrate index and the negative contribution is neutralized by the positive contribution due to the decrease of Li composition arising from the Li2O out diffusion. In other words, the two contributions cancel each other out, resulting in a small Zr4+ diffusion-doping effect in appearance. Next, we exclude this possibility. The authors have done a large number of experiments on an ion diffusion-doping into LN. The previous studies have shown that the diffusion temperature is the major factor responsible for the Li2O out diffusion [17]. Here we exemplify the Er3+ diffusion in the LN crystal. Under the same wet O2 atmosphere and after the same 60 h duration, the Er3+ diffusion at 1130 °C resulted in 0.3 ± 0.1 mol% Li2O-content reduction due to the Li2O out diffusion, while the out diffusion was not measurable as the diffusion temperature is 1100 °C or lower. This is mainly because the Li diffusivity increases by about two times as the temperature goes from 1100 °C to 1130 °C [18]. Regarding the Zr4+-doped samples studied here, as the highest temperature adopted is only 1060 °C and the longest duration is only 30 h, it is reasonable that the Li2O out-diffusion is not measurable for all the samples. Thus, the possibility that two contributions neutralize each other is small and the Zr4+ diffusion-doping effect on the LN index is indeed small.

4. Conclusion

In conclusion, Zr4+ diffusion-doping has little contribution to the refractive index of LN substrate. The conclusion is justified by excluding the possibility that the Li2O out diffusion took place in the diffusion procedure. The contribution is small in comparison with the index increment of usual Ti:LN waveguide. The little effect of diffusion-doping is clearly different from the bulk doping case, in which both ordinary and extraordinary indices of the LN substrate show definite Zr4+ doping concentration and threshold effects. The difference is attributed to the different ion arrangements from the crystal growth to the in-diffusion. Future work should concentrate on evaluating the optical damage resistance and studying the electro-optic and nonlinear optical properties of the Zr4+ diffusion-doped crystal.

Acknowledgments

This work was supported by the National Natural Science Foundation of China under Project nos. 61377060, 50872089 and 61107056, by the Key Program for Research on Fundamental to Application and Leading Technology, Tianjin Science and Technology Commission of China under Project no. 11JCZDJC15500, and by Specialized Research Fund for the Doctoral Program of Higher Education of China under Project no. 20100032110052.

References and links

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Figures (1)

Fig. 1
Fig. 1 (a) Depth profiles of 7Li, 109NbO, 32O2, and 123ZrO2 SIMS signals detected from a Z-cut LN plate coated with 80 nm ZrO2 and annealed at 1060 °C for 10 h in wet O2. The resultant CZr at surface is 4.1 ± 0.3 mol%. (b) Zr4+ diffusion-doping induced (a) Δne and (b) Δno measured as a function of surface Zr4+ concentration CZr.

Tables (1)

Tables Icon

Table 1 Surface CZr, refractive indices (at 1553 nm) at Zr4+-doped and undoped surface parts of LN plates prepared by Zr4+ diffusion. The Δno and Δne values are also given.

Equations (2)

Equations on this page are rendered with MathJax. Learn more.

I(z)=I(0)exp[ (z/d) 2 ],
C(z)=C(0)exp[ (z/d) 2 ],
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