The disclosure pertains to semiconductor manufacturing, including processing of substrates and devices manufactured thereon.
Modern semiconducting devices, such as processing units, memory devices, light detectors, solar cells, light-emitting semiconductor devices, devices that deploy complementary metal-oxide-semiconductor (CMOS) structures, and the like, are often manufactured on silicon wafers (or other suitable substrates). Wafers may undergo numerous processing operations, such as physical vapor deposition, chemical vapor deposition, etching, photo-masking, polishing, and/or various other operations. In a continuous effort to reduce the cost of semiconductor devices, multi-layer stacks of dies, insulating films, patterned and/or doped semiconducting films, and/or other features are often deposited on a single wafer, resulting in high aspect ratio devices, which are used, e.g., in 3D flash memory devices and other applications. Deposition, patterning, etching, polishing, etc., of stacks of multi-layered structures often result in significant stresses applied to the underlying wafers. Such stresses lead to both an out-of-plane distortion and an in-plane distortion of features supported by the wafers. These distortions result in misalignment of deposited features and can significantly degrade quality of manufactured devices.
The present disclosure will be understood more fully from the detailed description given below and from the accompanying drawings of various embodiments of the disclosure.
The present disclosure will be understood more fully from the detailed description given below and from the accompanying drawings of various embodiments of the disclosure.
In one embodiment, disclosed is a method that includes covering a plurality of features on a front side of a substrate with a feature protection layer, forming a stress-compensation layer (SCL) on a back side of the substrate, wherein the SCL causes a reduction of deformation of the substrate, and removing, via a unified processing operation, the feature protection layer and a subplurality of features of the plurality of features.
In another embodiment, disclosed is a method that includes covering a plurality of features on a front side of a substrate with a feature protection layer, and forming a stress-compensation layer (SCL) on a back side of the substrate, wherein the SCL causes a reduction of deformation of the substrate, and wherein the feature protection layer and the SCL are formed using a same processing chamber.
In another embodiment, disclosed is a semiconductor manufacturing system comprising one or more processing chambers to cover a plurality of features on a front side of a substrate with a feature protection layer, form a stress-compensation layer (SCL) on a bottom side of the substrate, wherein the SCL causes a reduction of deformation of the substrate, and remove, via a unified processing operation, the feature protection layer and a subplurality of features of the plurality of features.
Modern technology often aims to maximize chip area utilization by manufacturing three-dimensional devices with vertical stacks of many layers of semiconductor structures. For example, in NAND flash memory devices, lateral relative arrangement (CMOS near Array, or CnA) of memory cells (e.g., floating gate transistors) and peripheral transistors (e.g., CMOS circuitry used to support write/read operations with memory cells) has mostly given way to a vertical arrangement (CMOS under Array, or CuA) in which peripheral CMOS circuitry is disposed under an array of memory cells. In some instances, stacks of layers of memory cells can be manufactured on top of other stacks creating a structure in which precise alignment of various features within the layers is important for proper functioning of the manufactured devices. In one example, a stack of multiple (e.g., tens, hundreds, or more) alternating oxide (O) and nitride (N) layers (e.g., silicon oxide and silicon nitride layers, in one example) can be deposited on top of a substrate, e.g., silicon wafer. Although O and N layers are often referenced throughout the instant disclosure, various other additional layers/films can be deposited on wafers, e.g., polycrystalline silicon layers, carbon and polymer protective films, and/or the like. In another example of a three-dimensional (3D) Dynamic Random-Access Memory (DRAM) manufacturing, a stack of alternating Si1-xGex (SiGe) alloy layers and silicon (e.g., epitaxial silicon) layers can be deposited on top of a silicon substrate to form.
A mask (e.g., carbon mask) can be deposited on top of the ON or Si/SiGe stack and covered with a photoresist layer with a defined pattern of holes (channel holes), slits, and/or various other openings that are to be transferred to the stack of ON or Si/SiGe layers via the mask. A photolithography step can then be performed to open the mask according to the defined pattern (with the photoresist material protecting unexposed areas of the mask from light) and allow access to the stack of ON or Si/SiGe layers. An etching process can be carried out to etch the regions of the ON or Si/SiGe layers located under the opened portions of the mask to form deep vertical channels and/or slits that can extend down the depth of the stack. The slits can then be used to deliver target materials across various ON or Si/SiGe layers, e.g., to replace N or SiGe layers with layers of conducting materials (such as Tungsten, Molybdenum, etc.) and form multi-layered transistor arrays within the vertical channels, and/or the like.
The arrays of transistors and/or other features deposited into the stack of layers have to be precisely aligned with the matching structures deposited on the top surface of the wafer, e.g., source lines of conducting circuits that support electronic operations of the transistor arrays. Furthermore, one or more additional stacks of layers can be deposited on top of the previously deposited stacks, e.g., to increase the vertical count of memory cells/transistors and, respectively, increase density of cells per area of the NAND or 3D DRAM device. Processing such additional stacks can be performed as described above, e.g., by placing another mask above an additional stack, opening the mask, and etching vertical channels/slits through the additional stack(s). The channels etched through the top stack(s) have to align with the corresponding channels etched in the bottom stack(s), to ensure that good electrical contacts are formed between corresponding arrays of memory cells.
Alignment of channels, slits, and/or various other features across a vertical stack of multiple layers/films, however, can be hindered by deformation of the wafer, e.g., in-plane and/or out-of-plane deformation. Such deformations can be caused by stresses arising at contacts between the wafer and the stacks of layers, between layers of individual stacks, stresses arising from patterning of features within the layers, and/or the like. Stresses and deformations can result in inoperable and/or sub-optimal devices leading to a corresponding decrease in the yield of the manufacturing process.
Deformation of wafers can be addressed by a number of techniques. For example, a deformed (warped) wafer with various films and features deposited on one side (also referred to as the front side, top side, or main side) can be coated on the back side (also referred to as the bottom side) with a film that exerts compressive stress or tensile stress on the wafer. Such a back side-deposited deformation-correcting film, also referred to as a stress-compensation layer (SCL) herein, can impart a uniform (or global) stress to the entire wafer and reduce deformation of the wafer. Additional stress-mitigation can be achieved by implanting ions into the stress-compensation layer, e.g., using a beam of ions to bombard the SCL to adjust the stress in the SCL and, consequently, to further correct deformation of the underlying wafer. Ion implantation can be performed globally or locally, e.g., to certain selected areas of the wafer, such as wafer edges.
Depositing (or otherwise forming) an SCL on the wafer's back side can involve exposing the back side to the environment of a processing chamber (e.g., deposition chamber) to place an SCL material, on the back side, e.g., silicon nitride, in one example. This is typically performed by handling the wafer using an end effector (e.g., robot blade, electrostatic chuck, etc.) engaging the wafer's front side (with various stacks of features deposited thereon). Alternatively, back side deposition can involve lifting the wafer (e.g., using lift pins or holding the wafer up by the edge) and depositing the SCL from the bottom of a chamber (e.g., a chemical vapor deposition chamber, CVD). In some instances, the lack of intimate (close) coupling between the wafer and the electrode in the plasma-enhanced CVD (PECVD) chamber can limit the attainable stress in the SCL, which, in turn, can control the entitlement for anisotropic stress management (the maximum correctable saddle deformation of the wafer). The use of an electrostatic chuck provides such intimate contact and can increase the attainable stress in the SCL that can be used for saddle-shape deformation correction. To prevent damage to the front side by the end effector, the front side features are usually covered with a protective layer, e.g., a carbon protective layer. After the SCL is formed (and undergoes ion deposition) to reduce wafer deformation, the carbon protective layer is removed (e.g., using ash dry removal or some other stripping technique) to allow access to ON or Si/SiGe layers. The nitride or silicon-germanium layers can then be removed—exhumed—and replaced with a suitable conducting material (such as Mo, W, etc.). Various additional processing operations can be performed.
The described operations are conventionally performed using many different processing chambers. For example, carbon protection layer deposition can be performed in a first deposition chamber, SCL deposition can be performed in a second deposition chamber, stripping of the carbon protective layer can be performed in a third chamber (e.g., a dry ashing chamber), and nitride exhumation can be performed in a wet removal chamber. The number of different processing chambers and operations involved in the manufacturing process increases the cost of device manufacturing, decreases its throughput, and increases exposure of the products to contaminants.
Aspects and embodiments of the present disclosure address these and other challenges of the modern semiconductor manufacturing technology by providing for systems and techniques that streamline processing of multi-stack manufacturing products by unifying some of the back side and front side processing operations. More specifically, as disclosed in more detail below, protection of the wafer's front side can be achieved using a nitride protective layer instead of the carbon layer. This enables deposition of the protective layer and the SCL (e.g., made with the same nitride compound) using a single processing (e.g., deposition) chamber. Likewise, removal of the protective layer can be performed together with nitride exhumation via a single—unified—operation using the same process step (e.g., wet removal bath). This reduces the number of deployed processing chambers and the complexity of the processing operations.
Advantages of the disclosed embodiments include but are not limited to a significant reduction of the costs of manufacturing of semiconductor products, including but not limited to vertically stacked structures or other high aspect ratio features in vertically grown semiconductor devices.
A “wafer,” as used herein, refers to any substrate or material surface formed on a substrate upon which film processing is performed during a fabrication process. For example, a wafer surface on which processing can be performed includes materials such as silicon, silicon oxide, silicon nitride, strained silicon, silicon on insulator, carbon doped silicon oxides, amorphous silicon, doped silicon, germanium, gallium arsenide, glass, sapphire, plastic, and any other materials such as metals, metal nitrides, metal alloys, and other conductive materials, depending on the application. Wafers include, without limitation, semiconductor wafers. Wafers may be exposed to a pretreatment process to polish, etch, reduce, oxidize, hydroxylate, anneal, UV cure, e-beam cure and/or bake the substrate surface. In addition to film processing directly on the surface of the wafer itself, any of the film processing steps disclosed may also be performed on an underlayer formed on the wafer as disclosed in more detail below, and the term “wafer surface” is intended to include such underlayer as the context indicates. Thus, for example, where a film/layer or partial film/layer has been deposited onto a wafer surface, the exposed surface of the newly deposited film/layer becomes the wafer surface. In some embodiments, wafers have a thickness in the range of 0.25 mm to 1.5 mm, or in the range of 0.5 mm to 1.25 mm, in the range of 0.75 mm to 1.0 mm, or more. In some embodiments, wafers have a diameter of about 10 cm, 20 cm, 30 cm, or more.
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In some embodiments, prior to irradiating SCL 114 with stress-mitigation beam 118, the amount of stress in substrate 102 (with films and mask deposited thereon) can be determined by measuring a profile h({right arrow over (r)}) of substrate 102. The profile h({right arrow over (r)}) can refer to the vertical coordinate of the bottom surface of substrate 102. In some instances, stress in substrate 102 can be uniform and isotropic, σxx≈σyy. In some instances, stress in substrate 102 can be anisotropic, σxx≠σyy. Certain feature patterns can result in stresses that are compressive along one direction, e.g., σxx>0, and tensile along a perpendicular direction, σyy<0, resulting in saddle-shaped wafers. Such saddle-shaped features can arise, for example, in stacks of materials with directional patterning, e.g., patterning of wordlines, bitlines, and/or other suitable features in NAND devices, DRAM devices, and/or the like.
In some embodiments, a vertical profile of substrate 102 deformation z=h({right arrow over (r)}) can be measured using optical metrology (e.g., optical interferometry) techniques. In some embodiments, wafer deformation z=h({right arrow over (r)}) can be measured after a stack 104 of layers/films is deposited on substrate 102. The wafer profile h({right arrow over (r)}) can then be represented via a number of parameters that qualitatively and quantitatively characterize geometry of the wafer deformation, e.g., a set of Zernike (or a similar set of) polynomials, h({right arrow over (r)})=ΣjAjZj({right arrow over (r)}). Consecutive coefficients A1, A2, A3, A4 . . . represent weights of specific geometric features (elemental deformations) of substrate 102 described by the corresponding Zernike polynomials Zj({right arrow over (r)}). In some embodiments, a material of SCL 114 mask can be selected based on the sign of a paraboloid bow coefficient A4. In some embodiments, selection of a thickness d of SCL 114 can be made based on a value of the paraboloid bow coefficient A4. As illustrated in
The degree of overcorrection can be chosen in conjunction with a type and parameters (e.g., energy, dose, etc.) of a specific stress-mitigation beam 118 to be used on SCL 114. The overcorrection can make the combined structure of substrate 102 and SCL 114 susceptible to further control of stress (and thus control of deformation of the wafer hcorr(r, ϕ)). As illustrated in
In some embodiments, the number of ions ΔNi deposited per small area ΔA=ΔxΔy (or the total amount of photon energy applied to this area) of substrate 102 can be determined using simulations (performed as described in more detail below) based on the local value of the corrected deformation hcorr(r, ϕ), which may include a saddle deformation, a residual deformation, and the part of the paraboloid bow deformation Acorr(d)+A4 that has been overcorrected by the deposition of stress-compensation layer 118. The target local density n(x, y)=ΔNi/ΔxΔy of the ions can be delivered by controlling the scanning velocity v of stress-mitigation beam 118. In some embodiments, stress-mitigation beam 118 has a profile that can be approximated with a Gaussian function, e.g., the ion flux j(ρ)=j0 exp(−x2/a2−y2/b2), where x and y are Cartesian coordinates, j0 is the maximum ion flux at the center of the beam, and a and b is are characteristic spreads of the beam along the x-axis and y-axis, respectively. Correspondingly, a point that is located at distance y from the path of the center of the beam receives an ion dose that includes the following number of ions:
Correspondingly, by reducing the scanning velocity v, the number of ions received by various regions of SCL 114 can be increased, and vice versa. Additionally, stress-mitigation beam 118 can perform multiple scans with different offsets y so that various points of SCL 114 receive multiple doses of ions with different factors e−y
As illustrated in
In some embodiments, the intensity and/or total amount of irradiation per various areas of substrate 102 can be determined using simulations, e.g., Monte Carlo simulations. The Monte Carlo simulations can be performed for a film made of the actual material used in SCL deposition and having a specific thickness d. An initial Monte Carlo simulation can be performed for specific baseline (default) conditions of the particle irradiation (e.g., default settings of an ion implantation apparatus). The baseline conditions can include a default type of particles, a default energy of the particles, a default dose of particles to be applied to SCL 114 (e.g., a default velocity of scanning and a default scanning pattern), and the like. The baseline conditions can subsequently be modified (e.g., optimized) using the Monte Carlo simulations. The Monte Carlo simulations can use calibration data collected (measured) for actual particle irradiation performed for various ion/photon/electron energies, types of ions, types and materials of masks/layers, angles of particle incidence on the films, and/or the like.
In some embodiments, the implantation map n({right arrow over (r)}) can be computed using an influence function G({right arrow over (r)}; {right arrow over (r)}′) that characterizes a response (e.g., deformation) at a point {right arrow over (r)} of the wafer as caused by a point-like force applied at another point {right arrow over (r)}′ of substrate 102. In some embodiments, the influence function G({right arrow over (r)}; {right arrow over (r)}′), also known as the Green's function, can be determined from computational simulations or from analytical calculations. In some embodiments, the influence function can be determined from one or more experiments, which can include performing ion implantation into a film deposited on a reference wafer.
In some embodiments, wafer deformation h({right arrow over (r)})=hquad({right arrow over (r)})+hres({right arrow over (r)}) can be represented (decomposed) as a combination of a quadratic hquad({right arrow over (r)}) and residual (non-quadratic) hres({right arrow over (r)}) contributions. The quadratic deformation can include a parabolic (paraboloid) part hpar({right arrow over (r)}), which has the complete axial symmetry, and a saddle part hsaddle({right arrow over (r)}). The thickness d of SCL 114 can be computed (or empirically determined) in such a way that the mask is to apply a desired target stress to substrate 102. To eliminate a non-uniform saddle deformation, SCL 114 can be of such thickness/material that turns the saddle deformation into a cylindrical deformation having a definite sign throughout the area of substrate 102. The uniform-sign cylindrical deformation (as well as a residual higher-order non-quadratic deformation) can then be mitigated with irradiation by stress-mitigation beam 118. In some embodiments, a cylindrical decomposition is not unique and can be either positive (upward-facing cylindrical deformation) or negative (downward-facing cylindrical deformation). Both decompositions can be analyzed and a decomposition that enables a more effective stress mitigation can be selected. For example, a decomposition that is characterized by a smaller parabolic bow deformation can be selected. The parabolic bow deformation can be mitigated using a choice of SCL 114 (e.g., type and thickness) while the remaining cylindrical deformation (and the higher-order residual deformation) can be addressed by appropriately selected ion or photon irradiation doses n({right arrow over (r)}).
In some embodiments, mitigation of a cylindrical deformation or a saddle deformation can include identifying principal axes (directions) of the cylinder/saddle and a magnitude of the cylindric/saddle deformation and directing stress-mitigation beam 118 into appropriately selected edge regions of SCL 114. For example, individual edge regions to which the beam 118 is directed can have a width that is at or below 30% of a diameter of substrate 102. Residual higher-order (ripple) deformations can then be mitigated with further irradiation into the area of SCL 114.
Some of these techniques will now be described in more detail. In one embodiment, a vertical profile of wafer deformation z=h({right arrow over (r)}) can be measured using optical metrology techniques. For example, an interferogram of the profile h({right arrow over (r)}) can be obtained using optical interferometry measurements. The wafer profile h({right arrow over (r)}) can then be represented via a number of parameters that qualitatively and quantitatively characterize geometry of the wafer deformation. In some embodiments, a set of Zernike (or a similar set of) polynomials may be used to represent the wafer profile,
where the planar radius-vector {right arrow over (r)}=(r, ϕ) may be represented as the radial coordinate r and the polar angle ϕ within the (average) plane of the wafer. Consecutive coefficients A1, A2, A3, A4 . . . represent weights of specific geometric features (elemental deformations) of substrate 102 described by the corresponding Zernike polynomials Z1(r, ϕ), Z2(r, ϕ), Z3(r, ϕ), Z4(r, ϕ) . . . . (Herein, the Noll indexing scheme for the Zernike polynomials is being referenced.) The first three coefficients are of less interest as they describe a uniform shift of substrate 102 (coefficient A1, associated with the Z1(r, ϕ)=1 polynomial), a deformation-free x-tilt that amounts to a rotation around the y-axis (coefficient A2, associated with the Z2(r, ϕ)=2r cos 0 polynomial), and a deformation-free x-tilt that amounts to a rotation around the x-axis (coefficient A3, associated with the Z3(r, ϕ)=2r sin ϕ polynomial) that can be eliminated by a realignment of the coordinate axes. The fourth coefficient A4 is associated with Z4(r, ϕ)=√{square root over (3)}(2r2−1) and characterizes an isotropic paraboloid deformation (“bow”). The fifth A5 and the sixth A6 coefficients are associated with Z5(r, ϕ)=√{square root over (6)}r2 sin 2ϕ and Z6(r, ϕ)=√{square root over (6)}r2 cos 2ϕ polynomials, respectively, and characterize a saddle-type deformation. The A5 coefficient characterizes a saddle shape that curves up (A5>0) or down (A5<0) along the diagonal y=x and curves down (A5>0) or up (A5<0) along the diagonal y=−x. The A6 coefficient characterizes a saddle shape that curves up (A6>0) or down (A6<0) along the x-axis and curves down (A6>0) or up (A6<0) along the y-axis. The higher coefficients A7, A8, etc., characterize progressively faster variations of the wafer deformation h(r, ϕ) along the radial direction, along the azimuthal direction, or both and collectively represent a residual deformation, hres(r, ϕ)=h(r, ϕ)−Σj=46AjZj(r, ϕ).
At block 410, method 400 can include preparing a substrate, including but not limited to obtaining a bare substrate, preprocessing the bare substrate, e.g., polishing the substrate, removing stains and/or residue from the substrate, and/or the like, and/or performing any number of similar operations. At block 420, method 400 can continue with forming one or more features on the front side of a substrate. The features can include any number of patterns, layers, films, slits, masks, holes, and/or the like (e.g., as illustrated in
At block 430, method 400 includes obtaining optical inspection data, including measurement of a shape of the substrate. Inspection data can characterize a profile of the deformation of the substrate, e.g., displacement of a surface (e.g., the bottom surface) of the substrate as a function of some suitable in-plane coordinates, e.g., polar coordinates z=h(r, ϕ), Cartesian coordinates, z=h(x, y), or some other coordinates. At block 440, method 400 includes decomposition of the determined shape over a suitable set of polynomials, e.g., Zernike polynomials, and obtaining a set of polynomial expansion coefficients, {Aj}=(A1, A2, A3), A4, A5, A6, A7, . . . , each coefficient in the set characterizing a degree of presence of a particular elemental geometric shape in the substrate's deformation.
In some embodiments, method 400 can include a decision-making block 450 to select a type of SCL to be used with the substrate. For example, a decision at block 450 can be made based on the coefficient that determines a degree of parabolicity of the deformation, e.g., coefficient A4. If the substrate is curved downwards (towards the back side of the substrate), A4<0, a compressive SCL can be selected for the back side deposition at block 450. If A4>0, a tensile SCL can be selected for back side deposition. At block 452, parameters for the SCL can be determined. Operations of block 452 can include determining a type of a material for the SCL to be deposited and a thickness d of the SCL. In some embodiments, this determination can be made based on multiple expansion coefficients (more than just the paraboloid bow coefficient A4) from the set {Aj} or the full profile h(r, ϕ). In one specific non-limiting example, the thickness d can be determined as follows. First, a target paraboloid deformation Ã4 can be determined that is sufficient to overcompensate for the measured substrate deformation, e.g., for h(r, ϕ)<0, the following condition can be satisfied:
In other words, the target paraboloid deformation Ã4 can be chosen sufficiently large to compensate for the paraboloid deformation (A4), saddle deformation (A5 and A6) and the residual deformation (A7 and higher coefficients). In some embodiments, the target paraboloid deformation Ã4 can be selected with at least an excess magnitude AE over the minimum needed to overcompensate for the substrate deformation, e.g.,
The excess magnitude AE can be empirically selected and can depend on the specific material used for the SCL.
Once the target paraboloid deformation Ã4 has been determined, the thickness d of the SCL can be selected using a calibration data that tabulates or otherwise defines a function d=ƒ(Ã4). In some embodiments, the function ƒ(Ã4) can be a nonlinear function. In some embodiments, the function ƒ(Ã4) can be a linear function, d=αÃ4, with a coefficient of proportionality a determined based on mathematical modeling of elastic equations for specific SCL material(s), using empirical calibration, or any combination thereof. In some embodiments, thickness d of the SCL is selected to make deformation hcorr(r, ϕ) of a uniaxial type (e.g., cylindrical) after SCL deposition.
At block 460, the SCL of the selected thickness d (of a fixed thickness) can be deposited (or otherwise formed) on the substrate (e.g., as illustrated in
At block 470, method 400 can include covering the SCL with a protective film (e.g., cap layer 116 in in
In some implementations, prior to covering the SCL with the protective film, operations of method 400 can include removing an edge region of each of the protective film and the SCL, e.g., as illustrated below in conjunction with
At block 480, method 400 can continue with determining settings of the stress-mitigation beam using the optical inspection data. In some implementations, the settings for the stress-mitigation beam can include a type of particles of the stress-mitigation beam, an energy of the particles of the stress-mitigation beam, an angle of incidence of the particles of the stress-mitigation beam, and/or the like. Operations of block 480 can include determining (e.g., computing) local dose maps for irradiation of the SCL. In some embodiments, the dose maps can be computed in view on the expansion coefficients A5, A6 (to compensate for the saddle deformation) and A7, A8 . . . (to compensate for the residual deformation). At block 482, method 400 can continue with irradiating the SCL/directional pattern (e.g., according to the computed irradiation doses) with a stress-mitigation beam to reduce the amount of stress in the substrate/films/mask structure and flatten the structure (e.g., as illustrated in
At block 490, method 400 can include removing the feature protection layer and exhuming a portion, e.g., a subplurality of the features formed on the substrate, which can be performed via a single—unified—processing operation (e.g., performed in a single processing chamber). In some implementations, this processing operation can be performed by subjecting the feature protection layer and the subplurality of features to an acidic environment, e.g., a phosphoric acid environment. For example, the feature protection layer can be removed together with N layers of stack 104 (the outcome of such removal being illustrated in
Method 400 can further include various additional operations, as prescribed by a particular manufacturing specification, such as replacing the exhumed subplurality of features with one or more conducting materials (e.g., as illustrated in
At block 520, method 500 can continue with computing irradiation doses n({right arrow over (r)}) for the SCL deposited on the substrate. Operations of block 520 can include one or more techniques for determining n({right arrow over (r)}). In some embodiments, irradiation doses n({right arrow over (r)}) can be computed using Monte Carlo simulations. In some embodiments, irradiation doses n({right arrow over (r)}) can be computed using cylindrical decomposition of hWF({right arrow over (r)}), e.g., a decomposition of a saddle shape deformation into a parabolic deformation and a cylindrical deformation.
In some embodiments, irradiation doses n({right arrow over (r)}) can be computed (and then applied at block 595) for selected edge regions of the SCL. For example, if the axis of cylindrical deformation is the y-axis, the edge regions can be regions located within some vicinity of points x=±R, y=0, where R is the radius of the substrate. Irradiation doses n({right arrow over (r)}) near other regions (e.g., near the center of the substrate) can be significantly lower and/or zero, in some embodiments. In some embodiments, the edge regions of the SCL have a width that is at or below 30% of a diameter of the substrate. In some embodiments, the edge regions of the SCL can be exposed to a spatially uniform dose of particles of the stress-mitigation beam, a radially-varying dose of particles of the stress-mitigation beam, or an azimuthally-varying dose of particles of the stress-mitigation beam. In some embodiments, irradiation doses n({right arrow over (r)}) can be spread out more uniformly across the area of the substrate, e.g., can be non-zero both near the edges and near the middle of the substrate. In some embodiments, irradiation doses n({right arrow over (r)}) can be uniform (constant) throughout the area of the substrate while the uniformity of stress-mitigation is achieved by the deposited protective pattern having spatially-varying parameters (e.g., width W, period P, thickness T, etc.).
In some embodiments, irradiation doses n({right arrow over (r)}) can be computed using an influence function G({right arrow over (r)}; {right arrow over (r)}′), also known as the Green's function, which characterizes a response (e.g., deformation) of the substrate at a point {right arrow over (r)} of the substrate as caused by a point-like force applied at a point {right arrow over (r)}′ of the substrate. In some embodiments, the influence function G({right arrow over (r)}; {right arrow over (r)}′) can be determined from computational simulations or analytical calculations. In some embodiments, the influence function can be determined from one or more experiments, which can include performing ion implantation into a film deposited on a reference substrate. In some embodiments, a combination of multiple techniques of determining the influence function G({right arrow over (r)}; {right arrow over (r)}′) can be used.
As a way of example, the Monte Carlo simulations for a structure (e.g., substrate with films and an SCL deposited thereon) can be performed for specific materials of the structure (e.g., silicon substrate, stack of films, and/or the like) and for a specific thickness of the structure. An initial Monte Carlo simulation can be performed for baseline (default) conditions of beam irradiation (e.g., default settings of an ion implantation apparatus or a light-emitting apparatus). The baseline conditions can include a default type of particles (ions, photons, electrons), a default energy of particles, a default dose of particles to be directed to the SCL (e.g., a default velocity of scanning and a default scanning pattern), and the like.
In some embodiments, various techniques of irradiation dose computations can use calibration data 522 collected for actual irradiation performed for various types of the irradiation beams, energies of the irradiation beams, types and materials of structures being irradiated, angles of beam incidence on the structures, and/or the like. In some embodiments, calibration data 522 can be statistically preprocessed. For example, various measurements can be collected for multiple substrate/films/SCL materials, types of particles, angles of incidence, and/or other parameters. The statistically processed measurements can be stored (e.g., in a memory of a processing device performing computation of the irradiation doses) in the form of probability distributions of various quantities, including but not limited to:
Performing irradiation dose computations of block 520 can include sampling from the stored distributions and identifying a likelihood that a target stress mitigation will be achieved with the default settings of conditions of beam irradiation of a SCL of a given type and thickness. Method 500 can include several verification operations designed to determine whether the target stress can be achieved without detrimentally affecting properties of the substrate/films. For example, at block 525, method 500 can include verifying if the penetration depth of the selected (e.g., default) type of particles is sufficient. For example, the penetration depth is to be at least a certain fraction of the thickness of the SCL, e.g., 20%, 30%, 50%, 80%, or more of that thickness. In some embodiments the penetration depth can be up to 100% of the thickness. If the energy is insufficient, method 500 can include checking, at block 530, if the irradiation beam source is capable of outputting particles of a higher energy. If higher energies are available, method 500 can continue with increasing the energy of the particles (block 540) and repeating irradiation dose computations of block 520 for the increased energy. If the maximum energy of the irradiation beam source has already been reached, method 500 can continue with replacing (at block 550) ions with ions of a different type (e.g., if an ion beam is used for irradiation), e.g., replacing Silicon ions with Boron, Carbon, Fluorine, etc., ions, and repeating Monte Carlo simulations for the ions of the new type.
At block 555, method 500 can include verifying whether the number of expected formed vacancies is sufficient. To verify sufficiency, method 500 can assess stress mitigation caused by formed vacancies. In one embodiment, method 500 can begin at some value of stress in the SCL, e.g., −3.0 GPa or some other suitable value (negative sign indicating compressive stress) and use beam irradiation to mitigate this stress towards a neutral point, 0.0 GPa at various locales of the SCL.
If the number of vacancies is insufficient, method 500 can include increasing a dose of particles (at block 560) and repeating irradiation dose computations of block 520 for the increased dose.
At block 565, method 500 can include verifying that the vacancies are going to be placed within a target depth, e.g., the thickness d of the film or a certain fraction of the film, such as 0.8 d, 0.7 d, 0.5 d, or some other value empirically set to prevent particles from penetrating into the substrate/films and affecting properties of the substrate/films. If the vacancies are to be formed at depths that exceed the target depth, method 500 can include (at block 570) increasing an angle of incidence (e.g., by tilting the irradiation beam) to keep vacancies (as well as substitution impurities) to a shallower region of the SCL.
Blocks 520-570 can be repeated multiple times until irradiation dose computations of block 520 are determined to be sufficient that the desired stress mitigation can be achieved, e.g., that the reduction in the tensile stress of the SCL is such that the deformation of the substrate is eliminated or at least reduced to an acceptable tolerance. The final settings for SCL irradiation (block 580) determined from irradiation dose computations can then be used for irradiation of the SCL with the stress-mitigation beam (at block 482).
Operations of irradiation system 600 can be controlled by a controller 614, which can include any suitable computing device, microcontroller, or any other processing device having a processor, e.g., a central processing unit (CPU), a field-programmable gate array (FPGA), an application-specific integrated circuit (ASIC), and/or the like, and a memory device, e.g., a random-access memory (RAM), read-only memory (ROM), flash memory, and/or the like or any combination thereof. Controller 614 can control operations of power element 606, support stage 612, and/or various other components and modules of irradiation system 600. Controller 614 can include a stress-mitigation module 616 capable of performing simulations that determine a target intensity of stress-mitigation beam 118 to be used to mitigate various wafer deformations. In some embodiments, as illustrated in
In some implementations, formation of spatially separated front-side protection layer 112 and SCL 114, as illustrated in
Example computer system 800 may include a processing device 802 (also referred to as a processor or CPU), a main memory 804 (e.g., read-only memory (ROM), flash memory, dynamic random access memory (DRAM) such as synchronous DRAM (SDRAM), etc.), a static memory 806 (e.g., flash memory, static random access memory (SRAM), etc.), and a secondary memory (e.g., a data storage device 818), which may communicate with each other via a bus 830.
Processing device 802 represents one or more general-purpose processing devices such as a microprocessor, central processing unit, or the like. More particularly, processing device 802 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. Processing device 802 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. In accordance with one or more aspects of the present disclosure, processing device 802 may include a processing logic 826 configured to execute instructions (e.g., instructions 822) implementing example method 400 of mitigation of anisotropic wafer stress and deformation using stress-compensation beams and/or method 500 of determining settings for beam irradiation, in accordance with at least one embodiment.
Example computer system 800 may further comprise a network interface device 808, which may be communicatively coupled to a network 820. Example computer system 800 may further comprise a video display 810 (e.g., a liquid crystal display (LCD), a touch screen, or a cathode ray tube (CRT)), an alphanumeric input device 812 (e.g., a keyboard), a cursor control device 814 (e.g., a mouse), and an acoustic signal generation device 816 (e.g., a speaker).
Data storage device 818 may include a computer-readable storage medium (or, more specifically, a non-transitory computer-readable storage medium) 824 on which is stored one or more sets of executable instructions 822. In accordance with one or more aspects of the present disclosure, executable instructions 822 may comprise executable instructions implementing example method 400 of mitigation of anisotropic wafer stress and deformation using stress-compensation beams and/or method 500 of determining settings for beam irradiation, in accordance with at least one embodiment.
Executable instructions 822 may also reside, completely or at least partially, within main memory 804 and/or within processing device 802 during execution thereof by example computer system 800, main memory 804 and processing device 802 also constituting computer-readable storage media. Executable instructions 822 may further be transmitted or received over a network via network interface device 808.
While the computer-readable storage medium 824 is shown in
Some portions of the detailed descriptions above are presented in terms of algorithms and symbolic representations of operations on data bits within a computer memory. These algorithmic descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. An algorithm is here, and generally, conceived to be a self-consistent sequence of steps leading to a desired result. The steps are those requiring physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like.
It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise, as apparent from the following discussion, it is appreciated that throughout the description, discussions utilizing terms such as “identifying,” “determining,” “storing,” “adjusting,” “causing,” “returning,” “comparing,” “creating,” “stopping,” “loading,” “copying,” “throwing,” “replacing,” “performing,” or the like, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.
Examples of the present disclosure also relate to an apparatus for performing the methods described herein. This apparatus may be specially constructed for the required purposes, or it may be a general purpose computer system selectively programmed by a computer program stored in the computer system. Such a computer program may be stored in a computer readable storage medium, such as, but not limited to, any type of disk including optical disks, CD-ROMs, and magnetic-optical disks, read-only memories (ROMs), random access memories (RAMs), EPROMs, EEPROMs, magnetic disk storage media, optical storage media, flash memory devices, other type of machine-accessible storage media, or any type of media suitable for storing electronic instructions, each coupled to a computer system bus.
The methods and displays presented herein are not inherently related to any particular computer or other apparatus. Various general purpose systems may be used with programs in accordance with the teachings herein, or it may prove convenient to construct a more specialized apparatus to perform the required method steps. The required structure for a variety of these systems will appear as set forth in the description below. In addition, the scope of the present disclosure is not limited to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the present disclosure.
It is to be understood that the above description is intended to be illustrative, and not restrictive. Many other embodiment examples will be apparent to those of skill in the art upon reading and understanding the above description. Although the present disclosure describes specific examples, it will be recognized that the systems and methods of the present disclosure are not limited to the examples described herein, but may be practiced with modifications within the scope of the appended claims. Accordingly, the specification and drawings are to be regarded in an illustrative sense rather than a restrictive sense. The scope of the present disclosure should, therefore, be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.
This application claims the benefit of the U.S. Provisional Patent Application No. 63/608,429, filed Dec. 11, 2023, and U.S. Provisional Patent Application No. 63/695,291, filed Sep. 16, 2024, the contents of both applications being incorporated in their entirety by reference herein.
Number | Date | Country | |
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63695291 | Sep 2024 | US | |
63608429 | Dec 2023 | US |