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Porosity scaling strategies for low-k films

Published online by Cambridge University Press:  25 November 2015

David J. Michalak*
Affiliation:
Components Research, Intel Corporation, Hillsboro, OR 97124, USA
James M. Blackwell
Affiliation:
Components Research, Intel Corporation, Hillsboro, OR 97124, USA
Jessica M. Torres
Affiliation:
Components Research, Intel Corporation, Hillsboro, OR 97124, USA
Arkaprabha Sengupta
Affiliation:
Logic Technology Development, Intel Corporation, Hillsboro, OR 97124, USA
Lauren E. Kreno
Affiliation:
Components Research, Intel Corporation, Hillsboro, OR 97124, USA
James S. Clarke
Affiliation:
Components Research, Intel Corporation, Hillsboro, OR 97124, USA
Daniel Pantuso
Affiliation:
Logic Technology Development, Intel Corporation, Hillsboro, OR 97124, USA
*
a)Address all correspondence to this author. e-mail: david.j.michalak@intel.com

Abstract

Reducing the delay of backend interconnects is critical in delivering improved performance in next generation computer chips. One option is to implement interlayer dielectric (ILD) materials with increasingly lower dielectric constant (k) values. Despite industry need, there has been a recent decrease in study and production of these materials in academia and business communities. We have generated a backbone and porogen system that allows us to control porosity from 0 to 60% volume, achieve k-values from 3.4 to 1.6, maintain high chemical stability to various wet cleans, and deliver uniquely high mechanical strength at a given porosity. Finite element modeling and experimental results demonstrate that further improvements can be achieved through control of the pore volume into an ordered network. With hopes to spur more materials development, this paper discusses some molecular design and nanoscale hierarchical principles relevant to making next generation low-k ILD materials.

Information

Type
Invited Feature Papers
Copyright
Copyright © Materials Research Society 2015 
Figure 0

FIG. 1. Examples of integration challenges using porous ILD materials: (a) cross-sectional SEM image of CD blow out during cleans; (b) tilt SEM image of line collapse during cleans; (c) top-down SEM image of line wiggling after trench etch, and (d) cross-section TEM image of metal penetration into the underlying ILD during deposition.

Figure 1

FIG. 2. A graphical description of (a) the porogen and backbone mixture that is coated on a wafer, (b) the resulting network after the backbone species have crosslinked via covalent bonds, and (c) the resulting network after the porogen molecules have been selectively removed.

Figure 2

FIG. 3. RI values after hard bake for films made from Intel-synthesized backbone molecules containing various numbers of thermally active reactive groups mixed with various amounts of porogen. Solid lines are guides for the eye and do not represent fits to the data to any functional form. The reason for the differing trends in RI versus porogen loading for various n is currently unknown, but could stem from different yields of porogen residue incorporation versus n and/or different packing geometries of porogen and backbone versus porogen loading and n.

Figure 3

FIG. 4. Dielectric constant, k, values for the porous TITAN and other PECVD films relative to the Maxwell Garnett models as a function of their pore volume.

Figure 4

FIG. 5. Chemical structures showing the attack of a nucleophile (Nu−) on the silicon atom of an ILD network (a1 and b1) to form an intermediate species involving a pentavalent coordination state of the Si (a2 and b2). In both cases, the pentavalent species could evolve to release the nucleophile again (a1 and b1). If the Si atom has Si–O–Si backbonds, the pentavalent species could also evolve to break a Si–O–Si backbond to form a terminal Si–O− site (a3); if this happens two more times, then the surficial silicon atom can be removed (etched) from the surface (a4). Since alkyl bases are stronger than most nucleophiles considered here, the Si atoms with Si–R–Si backbonds (here R = CH2) would not be broken, the structure shown in (b3) would not form, and (b2) would return eventually back to (b1).

Figure 5

FIG. 6. ILD film thickness change versus time in aqueous 0.5% HF for pristine 50% porous TITAN (solid light olive green), 30% porous PECVD ILD 2 (solid dark green), and those same films after 40 nm etch in a CFxHy plasma (dashed lines and open symbols of similar color). Non-patterned film thickness values were measured by variable angle spectroscopic ellipsometry.

Figure 6

FIG. 7. Film porosity versus percent mass loading of porogen for the TITAN film. Note that the film porosity becomes more unstable and does not go higher than 62% despite the addition of more porogen mass fraction.

Figure 7

FIG. 8. Graphical representation of networks of backbone and porogen species at 25% porogen loading (a1, a2, a3) and 75% porogen load (b1, b2, b3) after film crosslinking (a1, b1), porogen removal (a2, b2), and film restructuring (a3, b3).

Figure 8

TABLE I. Table of maximum expected porosity versus site coordination number for a three dimensional randomly porous network. Adapted from Zallen.88

Figure 9

FIG. 9. A description of some typical connectivity units within a general CDO ILD: (a) a four-coordinate tetrahedral SiO4 unit and (b) a three-coordinate tetrahedral O3SiCH3 unit.

Figure 10

FIG. 10. Modulus from nano-indentation versus dielectric constant, k, for TITAN and various PECVD ILD films.

Figure 11

FIG. 11. Graphical depiction of a material composed of 75% porogen content with random porosity (a) and an ordered structure (b).

Figure 12

FIG. 12. RVEs with ellipsoidal (a) and spherical (b) pore geometries at ∼53% porosity with pore sizes sampled from the experimental pore size distribution for TITAN (Fig. 14) at that porosity.

Figure 13

FIG. 13. Data and FE modeling of porous materials comparing films containing not-deliberately controlled pore structure to those with ordered structures.

Figure 14

FIG. 14. Peak height normalized p size distributions obtained from EP adsorption isotherms for the TITAN film as a function of porosity.

Figure 15

FIG. 15. TEM (a) and peak height normalized pore size distribution (b) obtained from EP of a 45% porous TITAN film infiltrated with proprietary ALD material of high atomic number used for imaging contrast. The pores appear to be ellipsoidal in shape, randomly placed, and oriented randomly relative to the long axis of the ellipsoid (c).

Figure 16

FIG. 16. FE Model of stress contours for cross-sectional slices of 53% porous materials that have different spheroidal pore structures: (a) randomly placed ellipsoidal pores showing the most convoluted 3D backbone network structure with areas of high stress (red regions); (b) randomly placed spheroidal pores following the same pore radius distribution but having fewer moments in the backbone loading path; (c) controlled placement of uniform 6 nm radius spheroidal pores in a cubic array.

Figure 17

FIG. 17. Stress contours using the same color scale of Fig. 16 along different directions of strain for a structure composed of hexagonally packed horizontally aligned cylindrical pores with elliptical cross sections as described in the text: (L) strain applied out of the page such that all backbone material equally divides the load; (T1) strain applied left and right such that fewer material absorbs axial load; (T2) strain is applied up and down such that all load paths involve significant moments.

Figure 18

FIG. 18. Adsorption isotherm for both TITAN (green triangles) and PMO (red circles) showing 55 ± 1% porosity in the film for both cases. Inset: a much narrower pore size distribution is obtained for PMO relative to TITAN. The soft-bake, hard-bake, and curing of the TITAN film in this experiment was different from the films shown in Figs. 13–15.

Figure 19

FIG. 19. TEMs of PMO film showing ellipsoidal cylinders aligned parallel to the substrate.

Figure 20

FIG. 20. Modulus versus porosity for TITAN, PMO T1, and PMO T2.

Figure 21

FIG. 21. TEM showing the ability of the PMO material to maintain their order when properly integrated through a trench etch.

Figure 22

FIG. 22. TEM showing the ability of the PMO material to align within the guiding trench structure of the patterned substrate.

Figure 23

FIG. 23. Side and top-down SEMs for (a) a MOF film as-deposited after (b) a 30 min 400 °C thermal cure in nitrogen, or after (c) running a typical toluene EP experiment, or after (d) a 10 min immersion in 23 °C neat toluene. These images show the propensity of the film to crack or recrystallize.

Figure 24

FIG. 24. Electrical leakage data on the ZIF-8 MOF film: (red and black lines) measurements performed in air, (blue lines) measurements performed in vacuum. The absorption of physisorbed water and/or other airborne species contribute a large amount to electrical leakage under air conditions, but the leakage of the metal-containing backbone is reasonable under vacuum for electric field values less than |2| MV/cm.

Figure 25

TABLE II. Data for various ILD materials: the ZIF-8 MOF, the randomly porous TITAN, and the PECVD ILD 2 material.

Figure 26

FIG. 25. Schematic models for a 12 nm half pitch integrated structure with super imposed representative porosity: (a) a randomly ordered 56% porous material containing an average unit size of 1 nm for both pore and backbone; (b) an ordered square lattice at 56% porosity with a closed 1 nm pore size and a 0.3 nm backbone wall width.

Figure 27

FIG. 26. Pore radius, R, to diameter, 2R, versus porosity and backbone width, B, for a porous material composed of a hexagonal packing of horizontally aligned cylindrical pores.

Figure 28

FIG. 27. Pore size versus porosity and backbone width, B, for a porous material composed of an idealized cube frame geometry.