Development of Post-CMP Cleaners for Better Defect Performance

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    Development of Post-CMP Cleaners for Better Defect Performance

    Cuong Trana, Peng Zhang

    a, Laisheng Sun

    a, Naresh Kumar Penta

    b, Uma Rames Krishna

    Lagudub, Devon Shipp

    b, S.V. Babu

    b

    aATMI, Inc USA

    bClarkson University, USA

    In the copper CMP process, organic residues that are related to

    Benzotriazole (BTA) adsorbed on copper surface after Cu CMP

    process have to be removed during the cleaning. In order to

    address this organic defect issue, we present here the study of the

    performance of BTA removal by post-CMP cleaners using copper

    particles as substrates instead of copper wafers. In this work,

    different copper particles including Cu(0), Cu(I) and Cu(II) oxide

    particles with high surface area, were chosen to study the removal

    of BTA adsorbed on different copper states. TGA and UV-Vis

    spectra were used to detect and quantify the BTA removalefficiency. The results by different post CMP cleaners on various

    Cu particles will be presented.

    Introduction

    Post-CMP cleaners are used to remove various defects from the chemical mechanical

    planarization (CMP) process. With the shrinking circuitry as the nodes advance to 20nm

    and below, post-CMP cleaning faces greater challenge in improving cleaning

    effectiveness and electrical performance. Continuous efforts have been made indeveloping post-CMP cleaners with improved cleaning performance to remove particles,

    metals and organic matters without damaging copper surface, as well as enabling superiorelectrical performance.Among various defects from CMP process, organic defects have been one of the major

    challenges for post-CMP cleaning (1-2). In the copper CMP process, Benzotriazole

    (BTA) is used in most slurries to provide the protection to the copper surface duringpolishing. Copper ions can form a cuprous BTA complex (CuBTA) in the form of (3)

    passivating films with multilayer polymeric structures (3). These BTA films and residues

    are the main source of organic defects that have to be removed during the post CMPcleaning step (1). Therefore, understanding the effect of post-CMP cleaning chemistries

    on BTA removal is important for the development of next generation post-CMP products

    with better defect performance.

    Most prior studies of BTA adsorption and removal on copper surface are carried out oncopper wafers which have very small surface areas, leading to poor reproducibility and

    non-conclusive results. In addition, the results were usually confounded by the presence

    of both Cu(I) and Cu(II) oxides on copper wafer surfaces. In this paper, we developed themethod of using Cu(0), Cu(I) oxide and Cu(II) oxide particles to investigate the impact of

    post-PCMP cleans on BTA removal.

    Previously, Cu(I) oxide and Cu(II) oxide particles have been used to investigate the effectof various components in slurries on the performance for chemical mechanical polishing

    (4-6). By controlling the surface state of copper oxide, the mechanism of complexing

    agents with amine and carboxyl function groups in slurries for copper CMP was

    ECS Transactions, 44 (1) 565-571 (2012)

    10.1149/1.3694370 The Electrochemical Society

    565 )unless CC License in place (see abstractecsdl.org/site/terms_useaddress. Redistribution subject to ECS terms of use (see128.153.13.164Downloaded on 2014-04-08 to IP

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    elucidated (4). For the pCMP work, the large surface area and the controlled surface

    states of these particles made them ideal candidates for quantitative investigation of BTA

    adsorption and removal. In this paper, different copper particles including Cu(0), Cu(I)and Cu(II) oxide particles were chosen , and TGA and UV-Vis spectra were used as

    measurement for the BTA removal efficiency.

    Experimental

    Copper metal particles, Cu(I) oxide and Cu(II) oxide particles were purchased from

    Alfa Aesar with purity of > 99% and used without any further treatment. These particleswere characterized by XRD to verify that their purity was suitable for next step

    experiments.

    The BTA adsorption on copper particles was carried out by dispersing 1% copper

    particles in 10 mM BTA solution. The suspension was stirred for 1 hour to allow BTA to

    fully adsorb on the surface of copper particles. After centrifuging, these particles werewashed thoroughly by water and centrifuged again to obtain BTA adsorbed copper

    particles. Then the particles were transferred to diluted post-CMP formulation solutions.

    The suspensions were stirred for certain time and then centrifuged. The supernatantsolutions were used for UV-Vis measurements. The copper particles were washedthoroughly by water and then dried at 75

    oC overnight before the TGA measurements.

    Commercially available post-CMP cleaner, PlanarCleanTM

    from ATMI, along withother post-CMP formulations were used for evaluation of BTA removal from copper

    particles. These pCMP cleaners were freshly prepared and diluted to certain ratios before

    testing. DI water with different pH adjusted by KOH was also used for evaluation of pHeffect on the BTA removal from copper particles.

    Results and Discussion

    Characterization of Copper Particles

    The SEM images of copper particles were shown in Figure 1. Copper metal

    particles had round shape while Cu(I)O and Cu(II)O particles had irregular shapes. The

    BET specific surface area and particle sizes of these copper particles were shown inTable 1. The average size of copper metal particles was 1.6 m, smaller than those of

    Cu(I)O and Cu(II)O particles. The specific surface area of copper metal particles was

    0.69 m2/g. Compared to the surface area of a flat copper surface, 1 g of copper metal

    particles has about the same surface area of a copper wafer with the surface area of 6900

    cm2. This makes it much easier to use instrumental methods such as UV-Vis and TGA to

    detect BTA adsorption and desorption from these particles.

    Figure 1 SEM images of Cu metal particles, Cu(I)O particles and Cu(II)O particles

    ECS Transactions, 44 (1) 565-571 (2012)

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    Table 1. BET specific surface area and particle size of copper metal and copper oxide

    particles

    Particles Surface area (m2/g)** Particle size (m)*

    Cu (-625 mesh) 0.69 1.6

    Cu(II)O (-325 mesh) 0.17 12.0

    Cu(I)O (-325 mesh) 0.53 9.5

    * Particle size measurements were conducted on Malvern Mastersizer 2000 instrument.Copper and copper oxide particles were dispersed in water and sonicated to make

    uniform suspensions.

    ** Specific surface area of copper particles was measured by the BET method.

    TGA Study of BTA Removal from the Surface of Copper Particles

    The adsorption of BTA molecules on copper surface with different oxidationstates was studied by the TGA method. Figure 2 showed the TGA curves of Cu metal,

    Cu(I) oxide and Cu(II) oxide particles after BTA adsorption. For all copper particles, the

    weight loss started from about 300oC, while pure BTA molecules started to lose weight at

    about 150oC. This temperature difference could be attributed to the binding interaction of

    BTA molecules on the surface of copper particles. The weight loss from the TGA curves

    in Figure 2 could be used to estimate the amount of BTA adsorbed on copper particles.Higher the weight loss in TGA curves, the more BTA molecules adsorbed on copper

    surface. There was about 1.7% weight loss of BTA molecules adsorbed on Cu metal

    particles, which is more than 1.0% on Cu(I) oxide and 0.4% on Cu(II) oxide particles.

    Figure 2. TGA analysis of BTA adsorbed copper metal particles and copper oxide

    particles.

    These BTA adsorbed copper particles were subsequently used to evaluate the cleaning

    performance of post CMP cleaners. The first step is to investigate the pH effect on BTAremoval using pH adjusted water with nitric acid or KOH. The cleaning efficiency based

    on BTA weight loss was estimated from the following equation;

    ECS Transactions, 44 (1) 565-571 (2012)

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    Table 2 showed the cleaning efficiency of BTA from copper particles. It is clear that

    BTA was barely removed from copper surface at pH below 8 regardless of the copper

    surface states. When pH of water increased over 10, there was an obvious increase of the

    BTA removal for all copper particles. When pH of water increased to 12, BTA cleaningefficiency further increased significantly. This pH effect can be explained by the

    deprotonation of BTA molecules which have a pKa of 8.2 at pH above 10.

    Among all Cu particles, BTA molecules were more easily removed from Cu metal andCu(II) oxide particles than from Cu(I) oxide particles. In fact, at pH 12, most BTA

    molecules were removed from Cu(II) oxide particles while much less BTA molecules

    were removed from Cu(I) oxide particles. This is consistent with the previous report offormation of multi-layer cuprous BTA complex on copper(I) surface (3). The cuprous

    BTA complex layers cannot be removed with water by simply adjusting to higher pH.

    Table 2: BTA removal from the surface of different copper particles by water with

    different pH adjusted by KOH or HNO3

    pH of water

    BTA cleaning efficiency %

    Cu Cu(I)O Cu(II)O

    4 0 0 0

    6 3 2 2

    8 3 3 7

    10 18 10 43

    12 58 15 89

    UV-Vis Spectra Study of BTA Removal from Copper Particles by PlanarClean

    The second method of evaluating BTA removal was conducted via UV-Vis spectra of the

    supernatant solutions. BTA solutions have distinct peaks around 270nm wavelength, asshown in Figure 3. A linear calibration curve was obtained at pH 10, making it possible

    for quantitative analysis of BTA concentration in the solution. Even though this method

    does not directly probe the BTA concentration on copper surface, it is much moreconvenient and faster than the TGA method. Therefore the majority of subsequent work

    is conducted using this method.

    x100pH4atlossTGA wt

    pHat xlossTGA wt-4pHatlossTGA wtpHat xEfficiencyCleaning =

    ECS Transactions, 44 (1) 565-571 (2012)

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    a) b)

    Figure 3. a) UV-Vis spectra of BTA solutions at different concentrations at pH 10; b)Calibration curve of BTA conc. at pH 10.

    Figure 4. UV-Vis spectra of supernatants obtained from 60:1 PlanarCleanTM

    solutions

    before and after treatment of BTA adsorbed copper(I) oxide particles. The inset is the

    enlarged UV-Vis spectra showing the absorption between 400 nm and 800 nm.

    TGA results from the previous section showed that it is difficult to remove BTA

    molecules from the surface of Cu(I) oxide particles using pH effect alone. In the next setof studies, formulated pCMP cleaners such as the commercially available post CMP

    cleaner, PlanarCleanTM

    , were tested via UV-Vis method. Figure 4 showed the UV-Vis

    spectra of the supernatant of 60:1 diluted PlanarClean

    TM

    solutions after BTA removalprocess. Diluted PlanarCleanTM

    itself showed some absorption at about 270 nm, and its

    spectrum was subtracted from the sample signal. As shown in Figure 4, after BTAremoval, the absorption peak at 270 nm was very high, indicating the increase of BTA

    concentration in the supernatant. This suggests that PlanarCleanTM

    was very effective in

    removing BTA molecules from Cu(I) oxide surface. It is also noted that there was anextra adsorption peak located at 600 nm, indicating a new form of Cu complex formed in

    PlanarCleanTM

    solution during the BTA removal process (4).

    Table 3 showed the UV-Vis absorption data of PlanarCleanTM

    solutions with different

    dilution ratios after the treatment of BTA adsorbed copper particles. With dilution ratio

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    increased from 30 to 200, the absorbance at 270 nm decreased accordingly, indicating

    that the efficiency of BTA removal from Cu(I) oxide particles decreased as the function

    of dilution ratios. The absorbance at 600 nm also decreased with the increase of dilutionratios.

    Table 3 The absorption results of PlanarClean solutions with different dilution

    ratios after treatment of BTA adsorbed Cu(I) oxide particles.

    Dilution ratios

    of PlanarCleanTM

    pH UV Absorbance

    at 270 nm at 600 nm

    30:1 12.2

    8

    0.92 0.062

    60:1 11.9

    8

    0.68 0.043

    90:1 11.8

    1

    0.30 0.025

    120:1 11.59

    0.21 0.019

    200:1 11.45

    0.11 0.01

    The new Cu complexes at 600nm wavelength seem to be a useful indicator of cleaning

    from the surface of Cu(I) oxide particles. Figure 5 showed the absorbance comparison at600 nm between three other post-CMP cleaners with PlanarClean

    TM. The results showed

    that the cleaner PC-C had the highest absorbance among all cleaners. It also had highest

    absorbance at 270 nm indicating the highest BTA removal from copper surface. This is

    consistent with the expected behavior of a new type of cleaning agent in PC-Cformulation. In addition, this trend is confirmed by the real tool evaluation data which

    indicated that the PC-C formulation had the best cleaning performance among theevaluated cleaners.

    Figure 5. Comparison of copper complex formation in different PCMP formulations

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    Conclusions

    Copper particles had higher surface area than copper wafers that are normally used in

    study of BTA removal during post CMP cleaning process. Using copper metal, Cu(I)

    oxide and Cu(II) oxide particles, BTA removal from copper surface could be analyzed by

    TGA and UV-Vis spectra. The results showed that pH played a very important role inBTA removal from copper particles, and higher pH favors the BTA removal efficiency.

    Among different Cu states, BTA on Cu(I) oxide surface is more difficult to be removed

    than from Cu(0) and Cu(II) oxide surfaces. Formulated cleans, such as PlanarCleanTM

    isvery effective in removing BTA from Cu(I) oxide surface. Further optimization with

    new cleaning agents can enhance the BTA removal, as indicated by UV-Vis studies.

    Acknowledgements

    This paper is made possible through funding from ATMI for the collaboration projectbetween ATMI and Clarkson University. The authors acknowledge Jeff Barnes from

    ATMI for various discussions.

    References

    1. Todd Buley, Yakov Epshteyn, Mike Kulus, Cuong Tran, Kyle Bartosh, Darryl

    Peters, Chris Watts, in MICRO Magazine, Wet Surface Technologies,October/November, 2005.

    2. D. Peters, E. Walker, K. Bartosh, J. Barnes, C. Tran, and C. Watts, The 2nd

    PacRim International Conference on Planarization CMP and its ApplicationTechnology, pp. 68-72 (November 2005).

    3. Desmond Tromans,J. Electrochem. Soc.,145, L42 (1998).4. Venkata R.K. Gorantla, Dan Goia, Egon Matijeviand S.V. Babu,J. Electrochem.

    Soc.,152, G912 (2005).5. V. Meled, S.V. Babu, E. Matijevi, J. Electrochem. Soc.,156, H460 (2009).6.

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