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Reactive Sputtering to Increase Sheet Resistance of WSiN Thin Films Raymond Chen, Antonio Cruz, Jack Lam, Niteesh Marathe, Camron Noorzad, Yongsheng Sun, Cheng Lun Wu, Disheng Zheng

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  • Reactive Sputtering to Increase Sheet Resistance of WSiN Thin FilmsRaymond Chen, Antonio Cruz, Jack Lam, Niteesh Marathe, Camron Noorzad, Yongsheng Sun, Cheng Lun Wu, Disheng Zheng

  • Outline1. Problem Identification2. Design Approach3. Evaluation4. Conclusion and

    Recommendations

    A. Project BackgroundB. Problem ScopeC. Technical ReviewD. Design Requirements

  • Project Motivation Keysight Technologies has interest of expanding into new markets:

    1. Develop new platforms 2. MMIC (High-frequency monolithic microwave integrated circuit)3. TFRVH (thin film resistor very high)4. Students Research and Development5. Sell products and make profit

  • Example Product

  • MMIC

  • Project Goals Develop a fabrication process for WSiN TFRVHs:

    1. Produce TFRVHs with desired specifications: 2000 /sq sheet resistance 750 ~1500 thickness 10% Standard Deviation and Uniformity

    2. Demonstrate our results were consistent and repeatable

  • Problem Scope Concern of produce TFRVHs on Silicon Wafer

    Use appropriate deposition method Determine parameter input Achieve priority specification Maintain consistent output

    http://project-planners.com/wp-content/uploads/the_project_triangle1.jpg

  • Technical Review: Reactive Sputtering Method of introducing reactive gas into

    sputtering to fabricate thin film resistor Easy to control deposition properties PVD Target is bombarded by energetic ions, In

    this case Argon ions (Ar) Collisions knock and sputter atoms from

    the target Sputtered atoms flow to be deposited

    onto the substrate

    magnets

    http://ns.kopt.co.jp/English/ca_jou-gi/joutyaku.htm

  • Technical Review: Advantages of Sputtering Wide range of possible sputtered materials High deposition rates High purity thin films (vacuum, low pressure) Good adhesion Good step coverage and uniformity Allow various parameter control Available in both DC and RF power Magnetron sputtering uses magnets behind

    target to attract electrons to facilitate electron-Argon collision

    http://dir.indiamart.com/impcat/sputtering-systems.html

  • Technical Review: Disadvantages of Sputtering

    Deterioration of equipment and target material High sheet resistance uniformity percentage

    Bad yield percentage Possible sputter gas incorporation into film

  • Technical Review: Why we use RF power Power oscillated at radio frequencies sustains the Argon plasma

    If not. The negative charge applied to target can be neutralized by Ar Ions will not be attracted to target

    Ions are too heavy and slow to follow this frequency Electrons can follow this frequency and build up a negative self bias on the

    target

  • Technical Review: Why Ar Big gas ion Inert to WSiN Produce high sputtering yield

    manufacturing process to be timely and efficient

    Relatively inexpensive and available in high purity

    Source: [9]

  • Technical Review: Tungsten Silicon Nitride Ability to reduce the local atomic ordering when sputtered due to argon ion

    bombardment High melting point of around 3000 oC Applications:

    Lower power consumption of a capacitive touch screen Mask material for x-ray lithography Hard coating Printer heads

  • Technical Review: Target Processing Composite from hot pressing

    Tungsten powder and Silicon Nitride powder

    Because of this, we suspect that the sputter result will be silicon nitride and tungsten.

  • Technical Review: Substrate and Chamber Silicon substrate (100) orientation with approximately 100 nm silicon dioxide on

    top Negative substrate bias: -60 V

    Better guidance of WSiN movement to substrate and substrate adhesion, increasing nitrogen content

    Low cost substrate for experimental purpose One patterned + one non-patterned

    Real substrate will be GaAs and InP High vacuum chamber: 10 mTorr

    lower sputter rate increase the mean free path of sputtered target

  • Technical Review: WSiN Thin Film Would cause crystallization and loss of nitrogen content around 800oC Nitrogen atoms bonded to silicon atoms of the Tungsten and Silicon

    Amorphous Network increase the resistivity Coefficient of thermal expansion of WSiN is 6.37 X 10^-6 C1,

    The coefficient of thermal expansion of Si is 3.45 106 C1 This difference can result in significant thermal stresses if the Si

    substrate is heated during deposition. Amorphously deposited on the substrate Very effective at blocking atom diffusion Chemical Inertness

  • Technical Review: Sheet Resistance Measure of resistance for thin film materials

    instead of a bulk material Sheet resistance is defined as: Rs=(/t)

    is materials resistivity and t is thickness

    Has unit of ohm but usually use ohm/square

    Only need to specify length and width of the resistor to define value.

    The ratio L/W represents the number of unit squares of material in the resistor

  • Outline1. Problem Identification2. Process Design3. Evaluation4. Conclusion and Recommendations

    A. Design Requirementa. Input Parameterb. Output Parameter

    B. Design Approacha. Sputtering Systemb. Substrate Biasc. Justification of N2 gas flowd. Deposition Timee. Film Stressf. Thicknessg. Four-Point Probe

  • Design RequirementsSputtering Input Parameters

    Fixed Parameters

    RF Power 750 W

    Substrate Bias -60 V

    Total System Pressure 10 mTorr

    Total Flow Rate 40 sccm

    Controlled Parameters

    Gas Ratio (N2 : Ar) 0.15 : 1

    N2 Flow Rate 5.2 sccm

    Ar Flow Rate 34.8 sccm

    Deposition Time 1027 Seconds

    Target Thin Film Parameters

    Sheet Resistance 2000 ohm/square

    Margin of Error 3%

    Standard Deviation 10%

    Uniformity 10%

    Thickness (x) 750 < x

  • Design ApproachFlowchart of Design:

  • Design Approach CVC 611 Reactive Sputtering System

    Older machine in the wafer fab Ion mill chamber to clean wafer before

    deposition process [4] Rotating deposition to increase sheet

    resistance uniformity [4]

    Sputtering Target: WSi3N4

    Front monitor and chamber of CVC 611 System. Source: [4]

    Back of CVC 611 System with the RF Power Supply. Source: [4]

  • Design ApproachSubstrate Bias Negative bias allows for Ar ion

    bombardment onto substrate, minimizes long range atomic order (amorphous thin film) [4]

    Bias repels electrons from depositing onto the film [4]

    Standard value for the CVC System in the wafer fab [4]

    Diagram of RF Sputtering including Substrate Bias. Source: [4]

  • Design ApproachJustification to Incorporate N2 Gas into Film: Increasing sheet resistance = smaller mean

    free path of electrons (more defects in film microstructure) [5]

    Add atoms that bond to the amorphous network. Saturation point: atoms added as point defects [5]

    Nitrogen already a part of the target in the CVC System chamber [5]

    Diagram of RF Sputtering including Substrate Bias. Source: [4]

  • Design ApproachN2:Ar Gas Ratio

    S.M. Kang, et al, showed that increased presence of N2 gas in chamber increases sheet resistance. Sheet resistance of thin film significantly increases above ~10%[1].

    Gas flow rates calculated accordingly.

  • Design ApproachDeposition Time Keysight suggested deposition time of 20 minutes

    Confirmed by Kang, et al, in their experiment [1]

    Useful equation: Rs proportional to 1/t Rs = sheet resistance (ohm/sq.) t = thickness ()

    Keep thickness in range Q * T = t Q = deposition rate (/s, assumed constant) T = deposition time (s)

  • Design ApproachMachine for Stress Measurements: Tencor P2 Long Scan Profiler

    Stressed films bend substrates outward (compressive stress) or inward (tensile stress) [6]

    Tencor P2 determines film stress by measuring samples change in curvature between two tests [6]

    Measured wafers initial stress before deposition [6] After deposition, wafer is measured again to determine film stress, which is

    calculated from wafers change in curvature [6]E = Youngs modulus of substratev = Poissons ratio of substratets = Thickness of substratetf = Thickness of filmr = Radius of curvatureL=Length of traceB=Maximum between chord and trace

    Photo of Tencor P2 Long Scan Profiler. Source: [6]

    =Ets2/6r(1-)tf

    r=L2/8B, L>>B

  • Design ApproachMachine for Thickness Measurement: Tencor P12 Profilometer

    Surface stylus profilometry determines change in height across sample. Patterned photoresist was applied onto silicon wafers before deposition. WSiN films were deposited onto patterned silicon wafers. After deposition, acetone was used to strip away photoresist.

    Tencor P12 Profilometer. Source: [9]

    Resist/Deposition/Strip sequence. Source:[17]

  • Design ApproachMachine for Rs Measurements: 4P Automatic Four Point Probe, 280C

    Current passes through the outer two probes and film [7] Voltage across two inner probes is measured [7] Rs = 4.53 x V/I [7]

    Measures at 25 points for average Rs value.

    Schematic of Four Point Probe machine. Source: [7]280C Four Point Probe, Model 4D. Source: [8]

  • Design ApproachMachine for Surface Topography and Chemical Composition: FEI SCIOS Dual Beam FIB/SEM

    Scanning Electron Microscope (SEM) Surface topography and composition at high

    resolution Electron beam shoots at sample and interacts

    Energy-Dispersive X-ray Spectroscopy (EDXS) Separates characteristic X-rays into elements Relative amounts of elements in sample

    Electron Backscatter Diffraction (EBSD) Measures electrons diffracted from atomic planes If crystalline, gives crystal orientation and grain

    size.

    Photograph of a SEM. Source: [16]

    Interaction of Electron Beam with sample. Source: [16]

  • Design ApproachMachine for Measuring Film Properties: PANalytical XPert PRO

    X-Ray Reflectivity (XRR) Shoots X-Rays at film sample from a

    range of small, grazing angles. X-rays reflect toward detector. Gives information about film

    thickness, density, surface roughness, and degree of crystallinity.

    Basic concept of XRR.

    PANalytical XPert PRO.

  • Design ApproachFlowchart of Design:

  • Outline1. Problem Identification2. Design Approach

    3. Evaluation4. Conclusion and

    Recommendations

    A. OverviewB. Testing Result

    a. Sheet Resistance b. Thicknessc. Stressd. Morphology

    C. Assessment + Cost AnalysisD. Future works/ Next steps

  • Overview of Results Graph compares our last 3

    wafers using all of the same final parameters: Dep time= 1027 s 15% N to Ar ratio

    Rs close to 2000 Good consistency Wafers 9 and 10:

    sputtered simultaneously

  • Sheet Resistance 8: batch-to-batch comparison 9 and 10: wafer-to-wafer

    comparison Standard engineering margin of

    error = 3% Note: 9 and 10 only have same

    RS, not std. dev. or uniformity.

    Wafer Number #8 #9 #10

    Rs (/sq) 1975 2060 2060

    Margin of Error (%) 1.25 3.00 3.00

    Std. Deviation

    (%)5.64 5.86 6.05

    Uniformity (%) 10.13 10.61 11.12

  • Causes of Variation Target condition affects

    sputtering: Wear pattern directs

    sputtered atoms Batch-to-batch variation

    Old sputtering system

    A used sputtering target (left) compared to a new target (right). Source: [4]

  • Nitrogen Gas Ratio Dependence Ratio test range: 10-20% N2/Ar Agrees with other experiments Exponential curve, just as Kang

    et al Reinforces P. Homhuans work:

    theory of N interstitials Shorter mean free path for

    electrons

  • Film Thickness Dependence Dep time was altered after

    viewing results of 15% N to fine tune RS

    Thinner films yield higher RS (less is more)

    RS1/t Left most point: prone to

    statistical error, still within one standard deviation

  • Thickness Results

    Wafer 8: 915 Wafers 9, 10: 974

    Average of 5 measurements All thicknesses within

    prescribed range 750 -1500 Some unexpected variation

    WSiN Film

    Si Substrate

  • Thickness

    SEM micrographs Wafer 9 Cleaved through

    the middle Edge-on view

  • Thickness Identical deposition

    parameters Wafer 8: 915 Wafer 9: 974 Wafer 8

    Wafer 9

  • Thickness

    Wafer 8 Wafer 9

    Variation Q=QAVG Assumed constant

    Q Q=IC [11] Ion current I, sputtering

    system constant C not expected to change

    Sputtering yield must change Age of target

  • Thickness Variation

    Q=QAVG Assumed constant

    Q Q=IC [11] Ion current I, sputtering

    system constant C not expected to change

    Sputtering yield must change Age of target

    A used sputtering target (left) compared to a new target (right). Source: [4]

  • StressObserved decrease in film stress with increased N2/Ar

  • Stress Residual vs. thermally induced stresses

    Thermal stress not significant [8] Residual stress due to

    Ar+ contamination Densification effects

    Stress reduction due to Change in microstructural regime [15]

    Further characterization to confirm

  • Stress

    SEM micrographs, wafer 9

    No delamination or buckling

    TOP MIDDLE FLAT

    SEM micrograph, patterned wafer 9

  • Stress No delamination or buckling was observed Stress greater on GaAs substrates than on Si

    substrates Lattice constants, CTE

    Stress on GaAs can be reduced by annealing [3] Possible increase in resistivity [4]

  • Morphology Previous studies of

    WSiN thin films suggested our film would be amorphous [3,4]

    EBSD showed no crystallinity

    XRD indicates degree of roughness

    X-ray reflectivity curve

  • Composition Confounded by film dimensions

    and interaction volume

    EDXS data on patterned wafer 9

  • Assessment The TFR was successfully

    fabricated at Keysight Technologies ~2000 /sq

    Margin of Error = 3% 10% Uniformity Thickness>750

  • Cost Analysis - Materials WSi3N4 Target - ~$200 Silicon Wafers - $20/wafer

    20 Wafers (10 patterned/10 not patterned) = $400 Fabrication/Testing Equipment Provided

    Total Material Cost - ~$600

  • Cost Analysis - Characterization SEM - $58/hr

    6 hrs = $348 XRD - $60/hr

    4 hrs = $240 Optical Microscope - Free

    Total Characterization Cost = ~$600

  • Cost Analysis - Labor Full Time Equivalent

    (N2, Ar, CVC operation) Engineer - $15K/month ~ $90/hr

    9 engineers x (98 hrs) = $80K Technician - $12K/month ~ $75/hr

    1 technician x 18 hrs (2 days) = $1K

    Total Labor Costs = ~$81K

  • Overall Cost

    Investment Type Cost

    Materials $600

    Characterization $600

    Labor $81K

    TOTAL $82K

    Previous Estimated Cost = ~220K Savings of 220K - 82K = $138K

  • Return on Investment Estimated Leverage Sales (Keysight Technologies) - $13M/year

    $10M HBTs, $3M SFSs

    Estimated Cost of Production is Half the Estimated Sales $13/2 = $6.5M Cost of Investment Total Cost = Production + Labor = $6.5M + $82K = $6.582M

    Estimated Time of Return on Investment Based on Information Provided $6.582M/$13M/yr = Year

  • Outline1. Problem Identification2. Design Approach3. Evaluation

    4. Conclusion and Recommendations

    A. Conclusion

  • ConclusionIdentification

    Review

    Executed Design

    Successful Evaluation

    Identify the problem

    Understand problem scope

    Review process details

    Research information

    Plan design based on information

    Controlled experiments

    Procured results

    All Values were within target requirements

  • ConclusionResult

    2000 Ohm/sq. 3% difference in

    range 10% standard dev.

    Risks and Concern

    There is a run to run variation which will affect the data

    Must watch out for the life cycle of the target.

    Recommendation

    750W power -60V constant biasing 10 mTorr Total

    Pressure 40 sccm flow rate A 15% nitrogen to

    argon flow 1027 sec. deposition

    time

  • Future Works 1. Possible pre-production for HBT/SFS

    2. Use product substratesa. GaAs and InP

    3. Further Characterization a. Determine film composition

    i. Rutherford Backscattering Spectrometry, XPS (ESCA), Auger spectroscopy for impurities

    b. Thermal Coefficient of Resistancei. Variety of carefully controlled experiments.

  • Acknowledgements The authors would like to thank:

    Nick Kiriaze Rijuta Ravichandran Steven Zhang Ricardo Castro Michael Powers Vache Harotoonian Erkin Seker

  • References 1.) 280C, Four Point Probe Resistivity Mapping System. Digital image. WOTOL, Buy&Sell Industrial Equipment Worldwide. Web.

    2.) A. Hirata, K. Machida, S. Maeyama, Y. Watanabe, H. Kyuragi, Diffusion Barrier Mechanism of Extremely Thin Tungsten Silicon Nitride Film Formed by ECR Plasma Nitridation, Japanese Journal of Applied Physics, vol. 37, part 1, no. 3S, pp. 1251-1255, March 1998

    3.) A. Lahav, K. A. Grim, I. A. Blech, Measurement of thermal expansion coefficients of W, Si, WN, and WSiN thin film metallizations, Journal of Applied Physics, vol. 67, no. 2, pp. 34-738, January 1990

    4.) A. Vomiero, et al, Composition and resistivity changes of reactively sputtered W-Si-N thin films under vacuum annealing, Applied Physics Letters, vol. 88, no. 3, 031917-1-031917-3, January 2006

    5.) Four Point Probes (2013), Sheet Resistance and the Calculation of Resistivity or Thickness Relative to Semiconductor Applications [Online], Available: http://four-point-probes.com/sheet-resistance-and-the-calculation-of-resistivity-or-thickness-relative-to-semiconductor-applications/

    6.) Franceschinis, Gianni. "Surface Profilometry as a Tool to Measure Thin Film Stress, A Practical Approach." (2005). Microelectronics Engineering Department, Rochester Institute of Technology. Web. 30 May 2015.

    7.) G Franceschinis, Surface Profilometry as a tool to Measure Thin Film Stress, A Practical Approach, vol. 1, no. 1, pp. 1-5, 1999

    8.) J. H. Kim, K. W. Chung, Microstructure and properties of silicon nitride thin films deposited by reactive bias magnetron sputtering, Journal of Applied Physics, vol. 83, no. 11, pp. 5831-5839, May 1998

    9.) M. Powers, Sputter Deposition of Thin Films in HFTC, Santa Rosa, CA: Keysight Technologies, 2015. (slides)

    10.) Pattira Homhuan, et al, Growth and Structural Characterizations of Nanostructured Chromium-Zirconium-Nitride Thin Films for Tribological Applications, Materials Transactions, vol. 51, no. 9, pp. 1651-1655, July 2010

    11.) R. W. Berry, P. M. Hall, and M. T. Harris, Thin Film Technology, New York, NY: Wan Nostrand Reinhold Company, 1968

    12.) Semiconductors on NSM, http://www.ioffe.ru/SVA/NSM/Semicond/ .Accessed May 28, 2015.

    13.) S. M. Kang, et al, Control of electrical resistivity of TaN thin films by reactive sputtering for embedded passive resistors, Thin Solid Films, vol. 516, no. 11, pp 3568-3571, April 2008

    14.) Wolfs, Frank L.H. "Superconductivity." Home Page of Frank L. H. Wolfs. Department of Physics and Astronomy, University of Rochester, 1996. Web. 30 May 2015.

    15.) Y. G. Shen, et al, Composition, residual stress, and structural properties of thin tungsten nitride films deposited by reactive magnetron sputtering, Journal of Applied Physics, vol. 88, no. 3, pp. 1380-1388, July, 2000

    16.) Takamura, Yayoi. Scanning Electron Microscope. Digital image. Department of Chemical Engineering and Materials Science, University of California, Davis. 7 Feb. 2013. Web.

    17.) Effect of Etching Process. Digital image. VLSI Concepts. 28 July 2014. Web.

  • Thank You