Skip to main content Accessibility help
×
Home

Information:

  • Access
  • Open access
  • Cited by 11

Actions:

MathJax
MathJax is a JavaScript display engine for mathematics. For more information see http://www.mathjax.org.
      • Send article to Kindle

        To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

        Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

        Find out more about the Kindle Personal Document Service.

        Performance of rapid-grown KDP crystals with continuous filtration
        Available formats
        ×

        Send article to Dropbox

        To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

        Performance of rapid-grown KDP crystals with continuous filtration
        Available formats
        ×

        Send article to Google Drive

        To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

        Performance of rapid-grown KDP crystals with continuous filtration
        Available formats
        ×
Export citation

Abstract

Rapid growth processing of KDP crystals was improved by employing continuous filtration to eliminate bulk defects. The performances of the KDP crystals, including scattering defects, laser damage resistance and transmittance, were measured and analyzed. Compared with rapid-grown KDP without continuous filtration, the transmittance in the near-infrared was increased by at least 2%, almost all of ‘micron size’ defects were eliminated and ‘sub-micron size’ defects were decreased by approximately 90%. Laser damage testing revealed that the laser-induced damage thresholds (LIDTs), as well as the consistency of the LIDTs from sample to sample, were improved greatly. Moreover, it identified that ‘micron size’ defects were the precursors which initiated laser damage at relative lower laser fluence (4–6 J cm−2), and there was a lower correlation between smaller size scattering defects and laser damage initiation. The improved consistency in the LIDTs, attributed to elimination of ‘micron size’ defects, and LIDT enhancement originated from the decreased absorption of the KDP crystals.

1. Introduction

KH2PO4 (KDP) crystals are important nonlinear optical materials in many applications, such as frequency converters and Pockel cells for high-power large-aperture laser systems[Reference De Yoreo, Burnham and Whitman1]. In the 1990s, the rapid growth technique was developed to grow large-scale (40–50 cm) KDP boules at a rate of 10–20 mm/day[Reference Chernov, Zaitseva and Rashkovich2, Reference Zaitseva, DeYoreo, Dehaven, Vital, Montgomery, Richardson and Atherton3], which was one of the seven wonders during NIF laser construction[Reference Zaitseva and Carman4]. Due to a growth rate an order of magnitude faster than conventional growth, a greater number of bulk defects were formed, degrading the performance of the crystals by causing pinpoint damage and optical losses, which adversely affected the quality of the downstream beam[Reference De Yoreo, Burnham and Whitman1, Reference Feit and Rubenchik5]. It was found that typical damage pinpoints were caused by defects, which efficiently absorbed laser energy, leading to a temperature rise and subsequent ‘micro-explosion’[Reference Feit and Rubenchik5Reference Duchateau7]. Various types of bulk defect, such as metallic impurities[Reference Negres, DeMange and Demos8Reference Duchateau and Dyan10], electronic defects[Reference Setzler and Stevens11Reference Liu, Kioussis, Demos and Radousky13], organic materials, bacteria[Reference Montgomery and Milanovich14, Reference Nishida, Yokotani, Sasaki, Yoshida, Yamanaka and Yamanaka15], dislocation[Reference Dam, Bennema and van Enckevort16] and insoluble impurities, have been reported. In 1999, the continuous filtration technique was employed to improve the purity of the growth solution, and high-quality large-scale KDP crystal boules grown at a rate of 12–15 mm/day were demonstrated[Reference Zaitseva, Atherton, Rozsa, Carman, Smolsky, Runkel, Ryon and James17]. Although numerous studies have attempted to show the advantage of continuous filtration during rapid growth processing, no direct evidence has elucidated the reasons for the performance improvement. In the current study, the fundamental reason for the performance improvement was revealed via a comparison of the bulk defect properties, laser damage process and transmittance variation.

Figure 1. Schematic system for rapid growth of KDP boules using continuous filtration.

2. Experimental details

2.1. Growth of KDP crystals

KDP crystals were grown rapidly from an over-saturated aqueous solution of high-purity KDP powder in a 45 L growth vessel equipped with a continuous filtration unit, as shown in Figure 1. Both the growth vessel and the continuous filtration unit were placed in a thermostatic water bath. Two kinds of filter (the first-level filter was of the order of 0.1 ${\rm\mu}\text{m}$, the second-level filter was of the order of 0.01 ${\rm\mu}\text{m}$) were connected inside the continuous filtration unit. A well-polished Z-cut crystal of size 8 mm × 8 mm × 4 mm was fixed in the center of the growth plate to initiate the crystallization. The growth rate was controlled to 10 mm/day by lowering the temperature from 318 to 305 K. The crystal was rotated in the ‘forward–stop–backward’ mode at a speed of 70 r.p.m. The temperature was controlled by a programmable Shimada controller (Model FP21) with an accuracy of 0.02 K. The KDP plates, labeled as CF-1 to CF-6, were cut in a Type I second harmonic generation (SHG) orientation from the same boule prepared by rapid growth with continuous filtration. A further six Type I KDP plates, labeled NCF-1 to NCF-6, prepared by rapid growth without continuous filtration, were chosen as a comparison. All KDP plates were cut to a size of 50 mm × 50 mm × 10 mm. They were annealed at $165^{\circ }\text{C}$ and polished by diamond turning before taking measurements.

2.2. Measurement of transmittance spectra

The transmittance spectra of the samples were measured with a Lambda 1050 UV/Vis/NIR spectrophotometer in the wavelength range 300–1100 nm and are shown in Figure 2.

It was found that the transmittance of the CF series samples was slightly (approximately 0.2%–1%) higher than the NCF series samples in the wavelength range 300–850 nm, and at least 2% higher than the NCF series samples in the wavelength range 850–1100 nm.

Figure 2. Transmittance spectra of KDP crystals.

Figure 3. Schematic of the detection system for bulk defects in KDP crystals.

Figure 4. Typical scattering defects (a) ‘micron size’, (b) ‘sub-micron size’, (c) ‘nano-scale cluster’.

2.3. Detection of bulk defects

Defects embedded in the crystals were detected by scattered light microscopy using high-intensity dark-field illumination (Figure 3). A CW 532 nm laser with a Gaussian spatial profile was focused and illuminated the bulk site at a power of 1.3 W. The focal length was 5000 mm, and the effective area of the spot on the sample was 0.8 mm[Reference Chernov, Zaitseva and Rashkovich2]. The image of the illuminated region was captured, orthogonal to the direction of laser propagation, through the side of the sample.

Typical scattering defects of the KDP plates are shown in Figure 4. Because the scattering light magnified the defects and it was difficult to determine their actual size, the defects were categorized by their estimated size in this study. There were three kinds of scattering defect: sparsely distributed ‘micron size’ defects, high-density ‘sub-micron size’ defects and ‘nano-scale’ defect clusters. Statistical analysis of laser damage tests on 70-${\rm\mu}\text{m}$ defects showed that all of the ‘micron size’ defects could generate laser damage at fluences higher than 4–6 J cm$^{-2}$. ‘Micron size’ scattering defects were the most dangerous laser damage initiator. A fraction of ‘sub-micron size’ defects could lead to laser damage, with the probability of damage initiated being approximately 5%–40%. An increased local density of nano-scale defect clusters could also act as an initiator of laser damage.

The size of ‘micron size’ scattering defects was determined by microscope. The sample was wet-etched to bring the defects to the surface or near to the surface, where the size of the defects could be determined using a Nomarski microscope with $200\times$ magnification. Figure 5 shows the morphology of a typical ‘micron size’ scattering defect. The color of ‘micron size’ defects was different from the surrounding KDP crystal. As is well known, the contrast in bright-field imaging depends on differences in light absorption and the refractive index. It is clear that the absorption or the refractive index of ‘micron size’ defects was different from the DKDP material. The sizes of the defects shown in Figures 4(b) and 4(c) were not determined in this way, and merely estimated from the scattered intensity, as it was very difficult to distinguish these defects after wet etching.

Due to the variations in the distribution of scattering defects, the density of defects was analyzed statistically by sampling 30 dark images randomly for each sample, as summarized in Figure 6. The density of bulk defects is the number of scattering sites (‘micron size’ and ‘sub-micron size’ defects) divided by the illuminated volume of the KDP crystal. For ‘nano-scale clusters’, it is more difficult to calculate the density than for the ‘micron size’ and ‘sub-micron size’ defects. The probability of capturing these defects from 30 dark images was calculated, and the difference of the brightness was not considered.

Figure 5. Image of a ‘micron size’ defect captured by the optical microscope.

Figure 6. Comparison of (a) ‘micron size’ scattering defects, (b) ‘sub-micron size’ scattering defects and (c) ‘nano-scale cluster’ between the samples grown with and without continuous filtration.

It was found that the ‘micron size’ defects were sparsely distributed, and the density of this kind of defect was approximately 0.008 mm$^{-3}$ for the NCF series samples. However, they were eliminated after employing continuous filtration. Furthermore, the density of ‘sub-micron size’ defects in the CF samples was approximately one or two orders of magnitude lower than that of NCF samples. For the ‘nano-scale clusters’, although the probability of viewing this kind of defect in CF series samples was slightly lower than in NCF series samples, there was no obvious difference between the two series.

2.4. Laser damage testing

The damage test experiments were performed using a pulsed Nd:YAG laser operating at 30 Hz with an approximate output energy of 1.5 J at 1064 nm. The pulse duration was approximately 12 ns. The laser fluence on the target plane was adjusted by means of an energy attenuator, consisting of a half-wave plate and a polarizer. The laser beam was focused by the focusing lens onto the target plane. The focal length was 5000 mm, and the effective spot size on the sample was 0.6 mm$^{2}$, as measured by a laser beam analyzer. The onset of laser damage was detected by an online imaging system with a resolution of the order of microns. A ramp (R-on-1) test was employed to analyze the laser damage resistance of the KDP witnesses, and at least 50 sites on each witness were sampled by laser pulses. The testing results are shown in Figure 7.

It was clear that the laser-induced damage probability shifted to higher fluences after employing continuous filtration. For the NCF series samples, some samples (NCF-3, NCF-4 and NCF-6) exhibited very low laser-induced damage thresholds (LIDTs), attributed to individual damage initiated at a very low laser fluence. The LIDTs of the NCF series samples ranged from 2.3 to 22.4 J cm$^{-2}$. For the CF series samples, the LIDTs range from 25.4 to 36.6 J cm$^{-2}$, and the consistency of the LIDTs was also improved.

3. Discussion

By using two-level filters in the continuous filtration system, the new growth method ruled out the probability of inclusions with sizes larger than the filter hole. The statistical data for the scattering defects showed that there were no ‘micron size’ defects after filtration and ‘sub-micron size’ defects decreased by 90%. This means that most of the defects with sizes larger than tens of microns were eliminated. However, there was no obvious change in ‘nano-scale’ defect clusters before and after employing continuous filtration, given its smaller size than the filter holes.

Figure 7. R-on-1 laser damage probability curves for the KDP samples.

A decreased level of scattering defects reduced scattering losses, which was helpful in improving the transmittance of the KDP crystals. However, there was more noticeable improvement in transmittance for infrared wavelengths than in the visible and UV bands after employing continuous filtration; this cannot be attributed to decreased scattering, because one would expect a higher scattering intensity at short wavelengths according to the scattering law. The higher transmittance of the CF series samples in the infrared band mainly comes from the decreased absorption of the KDP crystals.

For KDP crystals, the prevailing consensus for laser damage initiation has been that the damage is dominated by precursor defects that efficiently absorb the laser energy, and that several kinds of defect may be responsible for damage initiation, such as impurities[Reference Burnham, Runkel, Feit, Rubenchik, Floyd, Land, Siekhaus and Hawley-Fedder18], interstitial atoms or vacancies[Reference Duchateaua19]. The online monitoring technique, combining the light-scattering technique and LIDT testing, demonstrated that scattering defects were one of the damage precursors. Figure 8 showed that pinpoint damage initiated from the ‘micron size’ scattering defects.

Figure 8. Laser damage initiated at ‘micron size’ defects in NCF series samples.

The typical laser fluence for damage initiation from ‘micron size’ defects was approximately 4–6 J cm$^{-2}$, and could be defined as a low-fluence damage precursor. This was the reason for the low LIDT for three of the samples (NCF-3, NCF-4 and NCF-6) and the wide range of LIDTs of NCF series samples. Statistical analysis of the defect density showed that this kind of low-fluence damage precursor existed only in NCF series samples (see Figure 6), and most of the damage onset was correlated to ‘micron size’ scattering defects from the online monitor during laser damage testing. When continuous filtration was employed, there were no ‘micron size’ defects observed for the CF series samples. This was the reason for the improvements in LIDT consistency for the CF series samples.

Besides ‘micron size’ scattering defects, the density of ‘sub-micron size’ scattering defects in the CF series samples also decreased significantly compared with the NCF series samples. The density in the former was one or two orders of magnitude lower than in the latter. Online monitoring of damage initiation showed that there were a few damage sites (${<}$10%) initiated from ‘sub-micron size’ defects, and most of the damage was not initiated from pre-existing scattering defects (see Figure 9).

Figure 9. Typical damage initiation in CF series samples.

The effect of eliminating ‘micron size’ defects was to lower the damage probability at low fluences, and it did not change the probability of damage at high fluences. However, the curve of damage probability shifted to a higher laser fluence for the CF samples compared with the NCF samples, and ‘sub-micron size’ scattering defects were not the main cause for damage initiation. That means that there were high-fluence damage precursors other than ‘sub-micron size’ scattering defects. The pinpoint damage shown in Figure 9(b) showed that the high-fluence damage precursors were high-density distributed absorptive defects. Although there was no direct proof as to the high-fluence damage precursors from the experimental observations, we can get some information about them from the spectra curve. The transmission of the CF series samples was higher than that of the NCF series samples, with an increasing gap between the two curves on moving from short wavelengths to long wavelengths. The major difference was located in the infrared band, and was greater than 2%. The improvement of transmission may be attributed to decreased scattering losses and absorption losses. The scattering loss was certainly decreased for CF series samples compared with NCF series samples due to the change in scattering defect density shown in Figure 6. However, this was not the main reason for the increased transmission, as scattering is wavelength dependent and higher scattering losses should be expected at shorter wavelengths according to the scattering law. This means that the increasing transmission difference originated from decrease absorption losses, i.e., absorptive defects, giving rise to a shift of the damage probability curve to higher fluences. Therefore, continuous filtration reduced not only the scattering defects but also the absorptive defects, which was the reason for the improved quality of the rapid-grown KDP crystals.

4. Conclusion

Rapid growth of KDP crystals with continuous filtration has been demonstrated. The transmittance of the crystals for the infrared band was at least 2% higher than that of samples grown without continuous filtration, which was attributed to the decrease of absorption. Micron size scattering defects were identified as low-fluence damage precursors, and can be eliminated by continuous filtration. The damage resistance of the crystals was greatly improved due to the elimination of low-fluence damage precursors and the decrease in absorption.

Acknowledgements

We are grateful for helpful discussions with Prof. Yuangen Yao of Fujian Institute of Research on the Structure of Matter, and Professors Xinguang Xu and Xun Sun of Shandong University.

References

1.De Yoreo, J. J. Burnham, A. K. and Whitman, P. K. Int. Mater. Rev. 47, 113 (2002).
2.Chernov, A. Zaitseva, N. and Rashkovich, L. J. Cryst. Growth 102, 793 (1990).
3.Zaitseva, N. P. DeYoreo, J. J. Dehaven, M. R. Vital, R. L. Montgomery, K. E. Richardson, M. and Atherton, L. J. J. Cryst. Growth 180, 255 (1997).
4.Zaitseva, N. and Carman, L. Prog. Cryst. Growth Ch. 43, 1 (2001).
5.Feit, M. D. and Rubenchik, A. M. Proc. SPIE 5273, 74 (2004).
6.Chan, C. H. Appl. Phys. Lett. 26, 628 (1975).
7.Duchateau, G. Opt. Express 17, 10434 (2009).
8.Negres, R. A. DeMange, P. and Demos, S. G. Opt. Lett. 30, 2766 (2005).
9.Marshall, C. Payne, S. Henesian, M. Speth, J. and Powell, H. J. Opt. Soc. Am. B 11, 774 (1994).
10.Duchateau, G. and Dyan, A. Opt. Express 15, 4557 (2007).
11.Setzler, S. and Stevens, K. Phys. Rev. B 57, 2643 (1998).
12.Liu, C. S. Zhang, Q. and Kioussis, N. Phys. Rev. B 68, 224107 (2003).
13.Liu, C. S. Kioussis, N. Demos, S. G. and Radousky, H. B. Phys. Rev. Lett. 91, 015505 (2003).
14.Montgomery, K. E. and Milanovich, F. P. J. Appl. Phys. 68, 3979 (1990).
15.Nishida, Y. Yokotani, A. Sasaki, T. Yoshida, K. Yamanaka, T. and Yamanaka, C. Appl. Phys. Lett. 52, 420 (1988).
16.Dam, B. Bennema, P. and van Enckevort, W. J. P. J. Cryst. Growth 74, 118 (1986).
17.Zaitseva, N. Atherton, J. Rozsa, R. Carman, L. Smolsky, I. Runkel, M. Ryon, R. and James, L. J. Cryst. Growth 197, 911 (1999).
18.Burnham, A. Runkel, M. Feit, M. Rubenchik, A. Floyd, R. Land, T. Siekhaus, W. and Hawley-Fedder, R. Appl. Opt. 42, 5483 (2003).
19.Duchateaua, G. Proc. SPIE 7504, 75041K (2009).