Assessment of Ultra-Thin SiO2 Film Thickness Measurement Precision by Ellipsometry D. Chandler-Horowitz, N.V. Nguyen, and J.R. Ehrstein Semiconductor Electronics Division National Institute of Standards and Technology Gaithersburg, MD 20899-8121 Abstract. The ellipsometric film thickness measurement precision for equivalent oxide thickness as prescribed by the International Technology Roadmap for Semiconductors is quite high. Although short-term precision on a single ellipsometric instrument can be quite high, deviations of measured film thickness from instrument-to-instrument and from lab-to-lab for short-term and long-term periods of time need to be addressed. Since the derived film thickness is dependent on many factors, each one has to be dealt with in turn. These factors include: ellipsometric instrument precision and accuracy, consistency of film/substrate modeling, optical constants, regression analysis, and film surface contamination. Recommendations for standard models and optical constants are given along with the need to ensure high ellipsometric instrument precision and accuracy and controlled film surfaces and environmental conditions. In this study ultra-thin refers to oxide films starting at 10 nm and being as thin as the native oxide. INTRODUCTION In the short-term (measurements taken over less than a few hour time period) a single research-grade ellipsometric instrument can predict a film thickness with the precision as set forth by the International Technology Roadmap for Semiconductors. However, in every other instance, including measurements on different ellipsometers, measurements do suffer greatly from non-repeatability, poor precision, and drift. In the simplest case deviations in the predicted film thickness can always occur when processing identical ellipsometric data with different optical models describing the film/substrate system, when different values of optical index data are used, and when the thickness is determined by a regression on the various forms of ellipsometric data (i.e. A and \|/ or a and P). The above factors can be standardized, and when done so, only two other factors exist. These are the ellipsometer instrumental sensivity and accuracy and the state of the film surface with respect to contamination. Although the following work is based on observations of silicon dioxide films, the results can be carried over to other thin dielectric films. Considerable work has been done in the past and is continuing in the present in terms of improving ellipsometric instrumental precision and accuracy and in keeping the film/substrate "clean". What is not so standard practice is the measurement procedure in determining thin film thickness to a high degree of precision. Here measurement sensitivity and modeling become very important issues. For the purpose of comparing measurements from different instruments and laboratories we are considering precision on a long term basis where the measurement is repeatable from day-today, week-to-week, and from lab-to-lab. So standard modeling procedures are necessary to insure, not so much a degree of accuracy, but a high degree of consistency and therefore precision Any discussion of accuracy here will essentially be model dependent. In general all film substrate models, to be physically accurate, should contain an interlayer region. These interlayer properties directly affect the film thickness accuracy no matter how great the precision may be. In addition, the film is assumed to be uniform and has no surface roughness. For thick films (>50 nm) both the film thickness and the film index of refraction can be measured with ellipsometry (1). But now in the thinner oxide film thickness regime of less than 10 nm, a similar precise determination of both refractive index and thickness is nearly impossible because of parameter correlation (2,3). In order to regain the precision, one needs to predetermine and fix the value for the film refractive index. The past methods of using thicker firms to determine this index in a multiple sample film thickness regression will most likely not succeed since the processing parameters cannot be held constant for such long durations of oxide growth and may be different. So at the very least, for the very thin films, one has the problem of determining both the best model and accurate values of the refractive indices of the component materials that parameterize the model. In what follows we present a sampling of some of our ellipsometric measurements of thin SiO2 films. First the following topics will be considered: the ellipsometer sensitivity and precision, the optical constants of the materials, modeling of the film/substrate structure and CP683, Characterization and Metrology for VLSI Technology: 2003 International Conference, edited by D. G. Seiler, A. C. Diebold, T. J. Shaffner, R. McDonald, S. Zollner, R. P. Khosla, and E. M. Secula 2003 American Institute of Physics 0-7354-0152-7/03/$20.00 326 film thickness determination, and the environmental factors. The present goal as stated in the International Technology Roadmap for Semiconductors (4) is to achieve a EOT (effective oxide thickness) measurement precision of 3a less than 0.005 nm. ELLIPSOMETER SENSITIVITY AND PRECISION The instrumental precision and accuracy is determined by the precision and accuracy of the measured ellipsometric parameters, A and \|/, and the accuracy of the angle of incidence, <|). The ellipsometric parameters for the rotating analyzer-type instrument used in this study are derived from the raw values of the Fourier components, a' and |3', and the calibration offsets of the respective polarizer and analyzer, P0 and AO, and signal attenuation constant n. By working with an appropriate model for the oxide film, one can predict the maximum sensitivity of the measurement to film thickness and accordingly adjust the angle of incidence and polarizer setting, P, to a predetermined optimum value. For thin oxide films (<10 nm) it is known that at a wavelength of 0.6328 nm an angle of incidence of approximately 75 °, rather than the traditional 70 °, and a polarizer setting of near 10 ° is needed. For example, for the case of a 2 nm oxide film the ellipsometric phase change with film thickness, dA/dt and A, as a function of the angle of incidence, are plotted in Figure 1 (5,6). The higher the value of dA/dt, the greater the measurable change in A for a given change in film thickness, thus greater film thickness sensitivity at certain angles of incidence. These values can be almost two orders of magnitude greater than the corresponding changes in \|/, but are zero at the principal angle of incidence (-75.5 °). The precision and repeatability of the calibration constants are important. From the definitions of A and \j/ with respect to a, (3, and P and the transformation of the correct values of a and P from raw a' and P' data (7) one observes the following generality: Neglecting the inaccuracy in a' and p', the uncertainty in A and \\r can be similar in magnitude to the uncertainties in AO, PO, and r| (5A0, 5P0 in degrees, 5rj in radians). Table 1 summarizes some of these values for the ellipsometer used here to observe the environmental changes in film thickness. From the table, the random uncertainties in A and \j/ are dominated by the standard deviations in a and p, and can be as high as approximately 0.025 °. The rest of the values are given as reference values to be used for any instrumental comparisons. These conditions are a requirement so that in the following procedures the film thickness precision will be high enough to meet the roadmap conditions, 180 160 140 120 100 e < 70 72 74 76 78 Angle of Incidence ft OPTICAL CONSTANTS Figure 1. Sensitivity plot of changes in A to changes in thickness of a 2 nm oxide film at 632.8 nm. One needs to have predetermined accurate values for the optical constants of the silicon substrate and reasonable values for the oxide film. The imaginary part of the refractive index of silicon, k, is given as the value determined by Geist, 0.01564 (see Table 2, ref 4). One value for the real part, n, is given as 3.875 by a simultaneous fit to three different oxide thicknesses (1). These values are not far from the values of others. The bulk value for the refractive index of silicon dioxide is 1.4571 (Table 2, ref 6). However, earlier measurements on SRMs found the value to be higher, approximately 1.461, due in part to the compressive stress formed in the oxide being thermally grown on silicon, which has a higher expansion coefficient. In addition, the index also can vary with the growth temperature and annealing temperature, but it is most always larger than the bulk material. This uncertainty in oxide refractive index will directly influence the final value for the oxide thickness. Table 1 Instrumental Uncertainties for Ellipsometer Uncertainty in Angle of Incidence : ± 0.004 ° Uncertainty in Polarizer Angle: ± 0.002 ° Standard deviation in a' and (3': ± 0.0005 Calibration of Single Wavelength (HeNe) Rotating Analyzer Ellipsometer Wafer: 25 nm thick oxide film Angle of Incidence: 74 ° Results of drift and precision of measurement: +After warmup of 1 Yt hours for rotating analyzer and HeNe laser ^Continuous run of calibration with 180 points spanning up to 4 Yz hour +Analyzer offset AO 111.1718 ±0.0007° ^Polarizer offset P0 -1.4020 ± 0.0003 ° +Attenuation constant T| 1.01166 ± 0.00001 327 instruments and give a thickness value comparable to one that may be measured by alternative means such as with electrical measurements or other physical means. The problem is similar to that of extracting an accurate line width from an edge with a certain amount of slope. How much of the interlayer should be included in the film thickness that is reported? Again we recommend reporting an additional half of the interlayer going towards the final reported film thickness. Secondly, in the case of very thin films (<10 nm), as mentioned previously, the correlation between film thickness and film refractive index is high. Therefore it is very necessary to fix the film refractive index to an appropriate value to get a physically meaningful thickness. By fixing the film index, calculated values for the film thickness are very precise. Now, when only one parameter is being determined by ellipsometry, namely the film thickness, the method of regression becomes increasingly important. The calculation is overdetermined since ellipsometry yields two measurement parameters and only only one independent thickness value is to be predicted. Therefore the regression should always be consistent in the way it is setup. Any optical properties of the interlayer will be approximated, because of its thinness, as an EMA (Effective Medium Approximation) of a volume fraction of both silicon substrate and thermal oxide. These optical constant values are recommended values and the consistent use of them will insure consistent lab- to-lab film thickness measurement results. Table 2 Silicon OPTICAL CONSTANTS @ 632.8 nm n k 3.8706(1) 3.8739(2) 0.01564(4) 3.875 ±0.003 (3) Silicon Dioxide Film: (1) (2) (3) (4) (5) (6) 1.4571 (6) 1.461 (3 &5) Jellison, Opt. Mat. 1,41 (1992) Woollam, JAP 83, 3323 (1998) NIST SP 260-109 (1988) ±0.003 uncertainty Geist, J. Res. NIST 95, 549 (1990) Taft, J. Electr. Soc. 125 (6), 968 (June, 1978) showing index vs. growth temp Mallitson, L, J. Opt. Soc.55, 1205 (1965) ENVIRONMENTAL FACTORS MODELING AND FILM THICKNESS DETERMINATION There are two main points to be concerned with here. First, it has been shown that a small (<1 nm) interface region exists between the oxide film and the silicon substrate (8,9). When measuring ellipsometrically an appropriate multiple sample set of various oxide film thicknesses, both accurate single wavelength data and accurate spectroscopic data show that a model containing an interlayer gives a better fit to the experimentally observed data than the use of the simple ambient-film-substrate model. Because of parameter correlation and the use of bulk material databases, spectroscopic ellipsometric measurements on a single wafer give a precise, wavelength-averaged value for film thickness using a simple film/substrate model. Here the film refractive index uses a densified value for the thermally grown oxide since it is in a state of compression. The same independence of an interlayer, because of correlation, occurs for single wavelength measurements on a single wafer. However, we recommend the use of an interlayer at all times. However, an additional problem is presented with the use of the interlayer model. What one wants to report usually is only the oxide film thickness, regardless of whether an interlayer is present. This would allow comparisons between different thickness measuring 328 Environmental factors can affect both the instrument and the sample surface. Mechanical vibrations, air currents, and air-borne particles (dust) all can add noise to the light detector output of the ellipsometer. But these can be reduced to acceptable levels below that of the effects of temperature and humidity. Spikes in temperature or changes in temperature abnormal to the laboratory environment can cause drift in the ellipsometer output and must be monitored to assure consistent results. Environmental effects to the sample surface are subtle. Changes in humidity and/or contamination from storage containers or laboratory air (hydrocarbons) are the most crucial factors influencing the oxide thickness measurement. Long-term drift can be associated with just the mere taking of a wafer from a nitrogen storage environment to the laboratory air environment. A series of tests was performed exemplifying the film thickness variation with surface treatments. One in particular, using a hotplate to desorb organic contaminants, was performed to see what magnitude of film thickness change could be expected. In addition, a somewhat crude but effective sample isolation chamber was affixed to the ellipsometer's wafer vacuum chuck to allow a source of water vapor to change the relative humidity near the sample surface. A test was performed by measuring as a function of time the film thickness change as the water vapor source was taken in and out of the chamber. Results of Testing Fig. 2 shows the corresponding change in \j/ with humidity for a wafer having a 10 nm thick oxide and exposed repeatedly to a moisture source using the above described chamber having openings to let the incident and reflected beams through. In this experiment a relative change in humidity of 20 % gave a change in thickness of approximately 0.1 nm. Fig. 3 also shows the corresponding change in \\r with humidity for the same sample for a weekend run in which the local weather change more gradually affected the laboratory room air. Here the thickness change was close to 0.3 nm for a 30 % change in relative humidity. Table 3 shows an example ellipsometric measurement of data taken on a wafer with a native oxide that yielded an excellent fit to the interlayer model. This was accomplished by fixing the interlayer thickness, oxide refractive index, and silicon extinction coefficient (real part allowed to vary).. The MSE value (mean square error in the fit) is very small because two parameters were allowed to vary. Here, EMA is the effective medium theory that was used to calculate the interlayer refractive index. Initial film thickness: nominal 20 A plus 2.57 A c o n t a m i n a n t s I °3" e l a p s e d time ( m i n u t e s ) Figure 4. Hotplate desorption. Table 3 ]experimental data on native oxide sample: K (332.8 time (2 minute intervals) (|> 74.00 \i/ 3.364 A 161.37 ]Model Figure 2. Film Thickness (\|/) variation with enclosed humidity controlled chamber 2 oxide 1 EMA si-50 % 0 si Fig 4 shows the changes in thickness that can occur from contamination. Here a 2 nm thick oxide was measured before and after being put on a hotplate (300 °C for 4 min.). It was found to have initially lost approximately 0.25 nm and then grow back about 0.04 nm in an hour. Therefore, a method used for reporting the thickness of the uncontaminated oxide is of great importance. 0.9988 nm 0.7 nm 1 mm 1Fit to data: MeanSquareError=4.558e-010 nSi 3.872 kSi =0.0156 ][nterlayer thickness t=0.7 nm ]Results: Oxide thickness 0.999 nm ]Fixed parameters: SiO2 n=1.461 CONCLUSIONS Even when one has access to a high-accuracy and precise ellipsometer, along with standardized regression software, ellipsometric measurements will still be subject to two factors, (1) film surface contamination, which directly affects precision and (2) the adequacy of the model, which does not directly affect precision. With the use of this ellipsometric instrument, operating at optimal sensitivity for thin film measurement, using consistent models, reliable optical constants, and a proper regression analysis, the precision of film thickness measurements is still very dependent upon being able to control and monitor film contamination. 8t~0.3nm - Weekend Run 3/9-3/11 2002 12nm oxide. Al = 75.23 deg, Pol=7.6 500 1000 1500 time (2 minute intervals) Figure 3. Film thickness (\\t) variation with changes in room humidity. 329 However, with good sample film surface control the guidelines for roadmap film thickness precision can be met. Secondly, because of the indirect nature of the ellipsometric measurement, it will always be true that high measurement precision can be obtained quite easily compared with the ability to measure the film thickness accurately. With that in mind the following general conclusions can be made for making precision measurements on very thin oxide films: First, all ellipsometric instrumentation software for data analysis must use the same models, optical constants and regression parameters. These factors can be easily checked by processing simulated data. Secondly, the accuracy and precision of the ellipsometer is not always known, especially if it is one designed for production, because speed and automation are often the design factors, and not necessarily accuracy of ellipsometric parameters. Only instruments with proven accuracy in ellipsometric values of A and ij/ and the angle of incidence can be used. Finally, reproducible film thickness measurements depend on a "clean" surface and will vary with contamination from water and organic vapors. The present study and use of a hotplate to desorb contaminants thermally, monitoring and control of room temperature (1 °C) and relative humidity (<5 %), gives at this time one method to begin to obtain a relatively precise prediction of the film thickness within the guidelines of the semiconductor roadmap. ACKNOWLEDGEMENTS This work was supported by the NIST Office of Microelectronics Programs (OPM). REFERENCES 1) Candela, G.A., Chandler-Horowitz, D., Marchiando, J.F., et al., NIST SP 260-109, "Standard Reference Materials: Preparation and Certification of SRM-2530, Ellipsometric Parameters A and \|/ and Derived Thickness and Refractive Index of a Silicon Dioxide Layer on Silicon", 1988. 2) Easwarakhanthan, T., and Pigeat, P., "Error Propagation in Fixed-Point Ellipsometric Inversions", Meas. Sci. & Technik, 14 (2003), 516-522. 3) Chandler-Horowitz, D. and Candela, G.A., J. de Phys., CIO, Suppl. 12, ch. 44, "On the Accuracy of Ellipsometric Thickness Determinations for Very Thin Films", C10-23-26, 1983. 4) "International Technology Roadmap for Semiconductors 2001 Edition", Semiconductor Industry Assoc., 2001. 5) Chandler-Horowitz, D., NBS SP 400-78 "Semiconductor Measurement Technology: Analytic Analysis of Ellipsometric Errors", 1986. 6) John Woollam Company VASE32 software. 7) Collins, R.W. 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