MEMS RESONATOR SENSOR SUBSTRATE FOR PLASMA, TEMPERATURE, STRESS, OR DEPOSITION SENSING
20230003598 · 2023-01-05
Inventors
- Chuang-Chia Lin (San Ramon, CA, US)
- David Peterson (San Jose, CA, US)
- Philip Allan Kraus (San Jose, CA, US)
- Amir Bayati (San Jose, CA, US)
Cpc classification
G01L19/0092
PHYSICS
H03H9/02574
ELECTRICITY
H03H9/02015
ELECTRICITY
H01J37/32935
ELECTRICITY
H03H9/14502
ELECTRICITY
International classification
G01L19/00
PHYSICS
Abstract
Embodiments disclosed herein include diagnostic substrates and methods of using the diagnostic substrates to extract plasma parameters. In an embodiment, a diagnostic substrate comprises a substrate and an array of resonators across the substrate. In an embodiment, the array of resonators comprises at least a first resonator with a first structure and a second resonator with a second structure. In an embodiment, the first structure is different than the second structure.
Claims
1. A diagnostic substrate, comprising: a substrate; and an array of resonators across the substrate, wherein the array of resonators comprises at least a first resonator with a first structure and a second resonator with a second structure, wherein the first structure is different than the second structure.
2. The diagnostic substrate of claim 1, wherein the array of resonators are electromagnetic resonators or acoustic resonators.
3. The diagnostic substrate of claim 1, wherein the array of resonators are configured to detect plasma properties, substrate temperature, mass changes, stress changes, or surface potential changes.
4. The diagnostic substrate of claim 1, wherein the first structure and the second structure are capacitive resonators or inductive resonators that comprise a membrane, a disk, a beam, or a coil.
5. The diagnostic substrate of claim 1, wherein the first structure and the second structure are piezoelectric resonators that comprise a surface acoustic wave (SAW) resonator, a bulk acoustic wave (BAW) resonator, a film bulk acoustic resonator (FBAR), or a transversely excited bulk acoustic resonator (XBAR).
6. The diagnostic substrate of claim 1, wherein the first structure comprises a first resonating member a first distance from the substrate, and wherein the second structure comprises a second resonating member a second distance from the substrate, wherein the first distance is different than the second distance.
7. The diagnostic substrate of claim 1, wherein the first structure comprises a first guard ring around the first resonator, and wherein the second structure comprises a second guard ring around the second resonator.
8. The diagnostic substrate of claim 7, wherein the first guard ring is configured to apply a first bias and the second guard ring is configured to apply a second bias, wherein the first bias is different than the second bias, and wherein the first bias and/or the second bias can comprise a DC component and an AC component.
9. The diagnostic substrate of claim 7, wherein the first guard ring and the second guard ring have different geometries, wherein the second guard ring is a different height than the first guard ring.
10. The diagnostic substrate of claim 1, wherein the first resonator and the second resonator are communicatively coupled to an antenna configured to provide wireless communication of measured frequencies to an external device.
11. The diagnostic substrate of claim 1, further comprising: RF circuitry fabricated on the substrate, wherein the RF circuitry comprises one or more of a shielded transmission line, a coupler, and a filter.
12. A diagnostic substrate, comprising: a substrate; a first resonator attached to the substrate, wherein the first resonator is electrically floating; a first guard ring around the first resonator, wherein the first guard ring has a first height; a second resonator attached to the substrate, wherein the second resonator is electrically floating; and a second guard ring around the second resonator, wherein the second guard ring has a second height, wherein the second height is greater than the first height.
13. The diagnostic substrate of claim 12, wherein a top surface of the first resonator is a first distance from the substrate, and wherein a top surface of the second resonator is a second distance from the substrate, wherein the second distance is different than the first distance.
14. The diagnostic substrate of claim 12, further comprising: an antenna communicatively coupled to the first resonator and the second resonator.
15. A method of measuring a plasma parameter in a plasma chamber, comprising: providing a diagnostic substrate in the plasma chamber, wherein the diagnostic substrate comprises a first resonator with a first geometry and a second resonator with a second geometry; measuring a baseline response from the first resonator and the second resonator in a vacuum without a plasma; striking the plasma in the plasma chamber, wherein the first resonator and the second resonator are within the plasma; measuring a first resonance frequency of the first resonator and a second resonance frequency of the second resonator; and extracting the plasma parameter or a wafer parameter from the first resonance frequency and the second resonance frequency.
16. The method of claim 15, wherein the plasma parameter is electron density, electron temperature, electron energy distribution function (EEDF), ion density, or ion energy distribution function (IEDF), and wherein the wafer parameter is substrate temperature, mass changes, stress changes, or surface potential changes.
17. The method of claim 15, wherein the first resonance frequency and the second resonance frequency are different from a plasma frequency.
18. The method of claim 15, further comprising: measuring a resonator response of the first resonator and the second resonator to a varying bias applied to the first resonator and the second resonator by a first guard ring and a second guard ring.
19. The method of claim 15, further comprising: applying a first bias around the first resonator; and applying a second bias around the second resonator, wherein the first bias is different than the second bias, and wherein the first bias and the second bias are modulated biases.
20. The method of claim 15, further comprising: using the plasma parameter as an input for an artificial intelligence module and/or a machine learning module to provide baselining of the plasma chamber, fingerprinting the plasma chamber, monitoring drift in the plasma chamber, chamber matching, or controlling the plasma chamber.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DETAILED DESCRIPTION
[0022] Microelectromechanical systems (MEMS) sensors for the detection of various processing parameters in a processing chamber are described herein. In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without these specific details. In other instances, well-known aspects, such as integrated circuit fabrication, are not described in detail in order to not unnecessarily obscure embodiments of the present disclosure. Furthermore, it is to be understood that the various embodiments shown in the Figures are illustrative representations and are not necessarily drawn to scale.
[0023] As noted above, it is currently difficult to measure plasma parameters in a plasma chamber. Currently, plasmas may be investigated using OES tools, but OES tools fail to provide plasma densities and electron temperatures. Additionally, OES tools cannot provide on substrate measurements such as material deposition, material etching, and the like. Additionally, measurements are not able to be taken in real time.
[0024] Accordingly, embodiments disclosed herein include diagnostic substrates that enable the ability to measure plasma parameters, in real time, during a plasma process. For example, plasma parameters may include, but are not limited to, electron density, electron temperature, electron energy distribution function (EEDF), ion density, and ion energy distribution function (IEDF). The embodiments disclosed herein may also be used to measure surface parameters, such as temperatures, deposition or etching rates, surface stress, surface charge, and other parameters on the diagnostic substrate.
[0025] In an embodiment, the diagnostic substrate may include a plurality of sensors. The sensors described herein may generally be referred to as resonator sensors. For example, the sensors may include MEMS sensors or RF resonators. Capacitively and piezoelectrically driven resonators may also be used. The sensors may include, but are not limited to, surface acoustic wave (SAW) sensors, bulk acoustic wave (BAW) sensors, film bulk acoustic resonator (FBAR) sensors, transversely-excited-bulk acoustic resonator (XBAR), membrane resonators, disk resonator, beam resonators, coil resonators, and the like. That is to say, while several particular examples of resonator sensors are described in greater detail herein, embodiments should not be construed as being limited by the particular examples described herein.
[0026] It is to be appreciated that embodiments disclosed herein also allow for real time characterization of the various plasma and/or surface properties being investigated. Particularly, embodiments disclosed herein include resonators that are coupled (either directly or indirectly) to antennas. An interrogator external to the diagnostic substrate (and external to the processing tool) may receive signals from the antennas.
[0027] In a particular embodiment, the array of sensors include sensors with different geometries. In one instance, the array of sensors may include sensors with top surfaces that have different heights from the underlying substrate. In such an embodiment, spatial information about the plasma may be provided since individual sensors will be exposed to different portions of the plasma and/or sheath. In another embodiment, the guard rings around the individual sensors may have different geometries. The different geometries of the guard rings may control the aperture around the resonator, allowing for different interactions with the plasma. In yet another embodiment, the guard rings may have a uniform geometry, but be applied different biases in order to control the aperture. Additionally, a single guard ring may be supplied a plurality of different biases to have a sensor that comprises different apertures.
[0028] Referring now to
[0029] As shown, an array of sensors 120 are distributed across a surface of the substrate 101. In the illustrated embodiment, the array of sensors 120 are arranged in a grid-like pattern. In other embodiments, a radial pattern may be used as well. Additional embodiments may include any suitable pattern. While fewer than one hundred sensors 120 are shown, it is to be appreciated that embodiments may include thousands or tens of thousands of sensors 120. The larger sensor outlines are for illustrative purposes, and embodiments are not limited to macro sized devices.
[0030] In an embodiment, the sensors 120 may be any type of MEMS or RF resonator. Sensors 120 may include, but are not limited to, surface acoustic wave (SAW) sensors, bulk acoustic wave (BAW) sensors, film bulk acoustic resonator (FBAR) sensors, membrane resonators, disk resonator, beam resonators, coil resonators, and the like. Several examples of particular resonator sensors are shown in greater detail below, but it is to be appreciated that many different types of resonators may be used in accordance with embodiments disclosed herein.
[0031] In an embodiment, each of the sensors 120 may be driven to a resonance frequency by circuitry that is not shown in
[0032] Referring now to
[0033] Referring now to
[0034] In an embodiment, an insulating layer 302 is provided over the substrate 301. In some embodiments, the sensors 320 and necessary circuitry is provided over the insulating layer 302. In other embodiments, some (or all) of the circuitry for the sensors 320 may be provided within or below the insulating layer 302. In an embodiment, the insulting layer is an oxide (e.g., silicon oxide) or a nitride (e.g., silicon nitride). In an embodiment, electrodes 391 may be provided below the resonators 321. In the illustrated embodiment, the electrodes 391 are provided below the insulating layer 302. However, it is to be appreciated that the electrodes 391 may also be provided above the insulating layer 302 in some embodiments.
[0035] In an embodiment, each of the sensors 320 may comprise a resonator 321 and a guard ring 322. The resonator 321 may be a resonating disk in some embodiments. While a disk resonator 321 is shown in
[0036] In an embodiment, the guard ring 322 may surround a perimeter of the disk resonator 321. The guard ring 322 may be connected to circuitry that is configured to hold the guard ring 322 at a bias potential. As will be described in greater detail below, the bias potential can control an aperture over the resonator 321 to limit or increase the interaction with the plasma. In an embodiment, an interior surface of the guard ring 322 is spaced away from an edge of the resonator 321. That is, while resonating, the resonator 321 may not contact the guard ring 322. In an embodiment, the electrodes 391 drive the resonance of the resonator 321. In other embodiments, the electrodes 391 may be omitted. In such embodiments, the resonators 321 may be driven by the guard rings 322. For example, a bias may be applied to the guard rings 322 with a DC signal, and an AC signal may be stacked onto the DC signal to drive the resonance in the resonators 321.
[0037] In an embodiment, a top surface of the guard ring 322 may be substantially coplanar with a top surface of the resonator 321 in the sensor 320.sub.A. In contrast, a top surface of the guard ring 322 may be substantially above a top surface of the resonator 321 in the sensor 320.sub.B. That is, the sensor 320.sub.A may have a different geometry or structure than the sensor 320.sub.B. The difference in the geometry allows for the aperture above the resonators to be different when the same bias is applied to both of the guard rings 322.
[0038] In an embodiment, the sensors 320.sub.A and 320.sub.B are configured to measure one or more of plasma properties (e.g., plasma density, electron temperature, etc.), substrate temperatures, mass changes (e.g., due to deposition or etching), stress changes, or surface potential changes. In the case of plasma properties, electrons and/or ions from the plasma are attracted to the surface of the resonator 321. The increased charge on the resonator results in a change in the resonance frequency. By determining how many electrons and/or ions are attracted to the surface of the resonator 321, the plasma density or electron temperature may be determined. Similarly, changes in resonance frequency may also be the result of changes to mass, stress, temperature, etc. of the resonator 321. In order to isolate the effect of a single variable being changed, multiple different resonators with different geometries, different biases, or other variations may be used. Having multiple different geometries allows for a system of equations setup to be used to isolate a given variable that is desired to be measured.
[0039] In an embodiment, the sensors 320.sub.A and 320.sub.B may each be coupled to an antenna 325. In an embodiment, the antenna 325 may be as simple as a conductive trace. In other embodiments, more complex antenna architectures may be provided, such as a patch antenna or a dual patch antenna. A portion of the antennas 325 are shown in
[0040] Referring now to
[0041] In an embodiment, the diagnostic substrate 300 may comprise a first sensor 320.sub.A and a second sensor 320.sub.B. In an embodiment, the first sensor 320.sub.A and the second sensor 320.sub.B may each have a resonator 321 that is supported on a post 323 and a pad 324 over the insulating layer 302. The first sensor 320.sub.A and the second sensor 320.sub.B may also each have a guard ring 322 that surrounds a perimeter of the resonator 321. In an embodiment, the first sensor 320.sub.A and the second sensor 320.sub.B may be communicatively coupled to antennas 325.
[0042] The first sensor 320.sub.A may have a different geometry or structure than the second sensor 320.sub.B. In the illustrated embodiment, the first sensor 320.sub.A has a resonator 321 with a first diameter D.sub.A, and the second sensor 320.sub.B has a resonator 321 with a second diameter D.sub.B. The second diameter D.sub.B may be greater than the first diameter D.sub.A. As such, the sensor 320.sub.A and the sensor 320.sub.B may be used together to provide enhanced sensitivity to the measurements of the plasma properties.
[0043] Referring now to
[0044] Referring now to
[0045] In an embodiment, a pair of sensors 420.sub.A and 420.sub.B are shown in
[0046] The difference between the first sensor 420.sub.A and the second sensor 420.sub.B is the bias that is applied to the guard rings 422. For example, a first bias 431 is applied to the guard rings 422 around the first sensor 420.sub.A, and a second bias 432 is applied to the guard rings 422 around the second sensor 420.sub.B. The second bias 432 may be greater than the first bias 431. The larger bias 432 reduces the aperture above the resonator 421 compared to the aperture above the resonator 421 provided by the bias 431. That is, the distance between the electromagnetic field lines is larger in the first sensor 420.sub.A than the distance between the electromagnetic field lines in the second sensor 420.sub.B. As such, different amounts of electrons can be collected by the different sensors 420.sub.A and 420.sub.B. The differences allow for a system of equations to be set up to isolate the variable of interest, such as plasma density or electron temperature. In an embodiment, the sensors 420.sub.A and 420.sub.B may be coupled to an external interrogator (not shown) by antennas 425.
[0047] In an embodiment, the first bias 431 and the second bias 432 may be a DC bias. In other embodiments, the biases 431 and 432 may be an AC bias. Embodiments may also include a DC bias with an AC bias added on top of the DC bias. In an embodiment, the first bias 431 and the second bias 432 may be dynamic biases. For example, bias sweeps through a plurality of different voltages may be used in some embodiments.
[0048] Referring now to
[0049] As shown in
[0050] Referring now to
[0051] In an embodiment, the diagnostic substrate 600 may comprise a frame 650 that is supported by pillars 651. The driving and sensing circuitry of a first sensor 620.sub.A and a second sensor 620.sub.B may be below the frame 650. As such, the driving and sensing circuitry is protected from a processing environment. The driving and sensing circuitry may comprise one or more coils 642 and a core 643 positioned below a resonator 641. The core 643 may be a magnetic material that improves the flux of the coils 642. For example, the core 643 may comprise a ferrite material. The first sensor 620.sub.A and the second sensor 620.sub.B may be directly or indirectly coupled to antennas 625 to allow for wireless communication with an interrogator (not shown) external to the diagnostic substrate 600.
[0052] The resonator 641 may be a membrane that spans across an opening in the frame 650. As shown in
[0053] In the embodiments described above a disk resonator and a membrane resonator are described in detail. However, it is to be appreciated that any resonator architecture may be used in embodiments disclosed herein. For example, in
[0054] Referring now to
[0055] In an embodiment, process 880 may continue with operation 882, which comprises striking a plasma in the plasma chamber. In an embodiment, the plasma may be used for any type of plasma process. For example, the plasma may be for a PE-CVD process, a PE-ALD process, a PVD process, an etching process, or any other semiconductor manufacturing process. However, in some embodiments, a baseline response of the resonators may be determined before the striking of the plasma. For example, the process 880 may also comprise measuring a baseline response from the first resonator and the second resonator in a vacuum without a plasma.
[0056] In an embodiment, process 880 may continue with operation 883 which comprises measuring a first resonance frequency of the first resonator and a second resonance frequency of the second resonator. In an embodiment, the resonance frequencies may be different due to variations in the geometries and/or variations in the bias applied to guard rings around the resonators. In an embodiment, the first resonance frequency and the second resonance frequency may be different than the frequency of the plasma. In a particular embodiment, the first resonance frequency and the second resonance frequency may be approximately 100 MHz or greater.
[0057] In an embodiment, process 880 may continue with operation 884 which comprises extracting a plasma parameter from the first resonance frequency and the second resonance frequency. In an embodiment, the resonant frequencies may be wirelessly transmitted to an interrogator external to the plasma chamber by antennas on the diagnostic substrate. The plasma parameter may include electron density, electron temperature, EEDF, ion density, and IEDF, or any other detectable plasma parameter. In some embodiments the plasma parameter may be a spatial plasma parameter. That is, a single plasma parameter (e.g., plasma density) may be measured at different Z-heights relative to the diagnostic substrate.
[0058] It is to be appreciated that process 880 may be used to provide different controls or chamber health monitoring. For example, process 880 may be used to provide process baselining, fingerprinting, drift monitoring, chamber matching, or other chamber control. Additionally, it is to be appreciated that process 880 may be used in conjunction with machine learning and/or artificial intelligence modules. In such embodiments, the process 880 may be used to generate data (e.g., plasma parameters) that can be fed as inputs into a machine learning and/or artificial intelligence module. The machine learning and/or artificial intelligence modules may use the generated data from the process 880 to provide process control functionality to a processing tool or processing tools such as, but not limited to, process baselining, fingerprinting, drift monitoring, chamber matching or other chamber control.
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[0060] The exemplary computer system 900 includes a processor 902, a main memory 904 (e.g., read-only memory (ROM), flash memory, dynamic random access memory (DRAM) such as synchronous DRAM (SDRAM) or Rambus DRAM (RDRAM), etc.), a static memory 906 (e.g., flash memory, static random access memory (SRAM), MRAM, etc.), and a secondary memory 918 (e.g., a data storage device), which communicate with each other via a bus 930.
[0061] Processor 902 represents one or more general-purpose processing devices such as a microprocessor, central processing unit, or the like. More particularly, the processor 902 may be a complex instruction set computing (CISC) microprocessor, reduced instruction set computing (RISC) microprocessor, very long instruction word (VLIW) microprocessor, processor implementing other instruction sets, or processors implementing a combination of instruction sets. Processor 902 may also be one or more special-purpose processing devices such as an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), network processor, or the like. Processor 902 is configured to execute the processing logic 926 for performing the operations described herein.
[0062] The computer system 900 may further include a network interface device 908. The computer system 900 also may include a video display unit 910 (e.g., a liquid crystal display (LCD), a light emitting diode display (LED), or a cathode ray tube (CRT)), an alphanumeric input device 912 (e.g., a keyboard), a cursor control device 914 (e.g., a mouse), and a signal generation device 916 (e.g., a speaker).
[0063] The secondary memory 918 may include a machine-accessible storage medium (or more specifically a computer-readable storage medium) 932 on which is stored one or more sets of instructions (e.g., software 922) embodying any one or more of the methodologies or functions described herein. The software 922 may also reside, completely or at least partially, within the main memory 904 and/or within the processor 902 during execution thereof by the computer system 900, the main memory 904 and the processor 902 also constituting machine-readable storage media. The software 922 may further be transmitted or received over a network 920 via the network interface device 908.
[0064] While the machine-accessible storage medium 932 is shown in an exemplary embodiment to be a single medium, the term “machine-readable storage medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The term “machine-readable storage medium” shall also be taken to include any medium that is capable of storing or encoding a set of instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the present disclosure. The term “machine-readable storage medium” shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media.
[0065] In accordance with an embodiment of the present disclosure, a machine-accessible storage medium has instructions stored thereon which cause a data processing system to perform a method of measuring plasma parameters in a plasma chamber using a diagnostic substrate with resonators that have a plurality of different geometries.
[0066] Thus, methods for measuring plasma parameters have been disclosed.