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Optimized design of block copolymers with covarying properties for nanolithography

Abstract

The ability to impart multiple covarying properties into a single material represents a grand challenge in manufacturing. In the design of block copolymers (BCPs) for directed self-assembly and nanolithography, materials often balance orthogonal properties to meet constraints related to processing, structure and defectivity. Although iterative synthesis strategies deliver BCPs with attractive properties, identifying materials with all the required attributes has been difficult. Here we report a high-throughput synthesis and characterization platform for the discovery and optimization of BCPs with A-block-(B-random-C) architectures for lithographic patterning in semiconductor manufacturing. Starting from a parent BCP and using thiol–epoxy ‘click’ chemistry, we synthesize a library of BCPs that cover a large and complex parameter space. This allows us to readily identify feature-size-dependent BCP chemistries for 8–20-nm-pitch patterns. These blocks have similar surface energies for directed self-assembly, and control over the segregation strength to optimize the structure (favoured at higher segregation strengths) and defectivity (favoured at lower segregation strengths).

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Fig. 1: Design principle for creating a series of BCPs with tunable χN and Δγ = 0 using an A-b-(B-r-C) polymer architecture.
Fig. 2: Determination of χ and γ of S-b-G(TFET-r-2MP) with varying φ.
Fig. 3: Thermodynamics, surface energies and self-assembled morphologies of modified S-b-G BCPs.
Fig. 4: Two additional advantages of the S-b-G BCP platform: enhanced etch contrast and self-brushing.
Fig. 5: Tailoring the BCP for specific industry applications.

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Data availability

The data supporting the findings of this study are available within the Article, its Supplementary Information files and from the corresponding authors upon reasonable request. Source data are provided with this paper.

References

  1. de Pablo, J. J. et al. New frontiers for the materials genome initiative. npj Comput. Mater. 5, 41 (2019).

    Article  Google Scholar 

  2. de Pablo, J. J., Jones, B., Kovacs, C. L., Ozolins, V. & Ramirez, A. P. The materials genome initiative, the interplay of experiment, theory and computation. Curr. Opin. Solid State Mater. Sci. 18, 99–117 (2014).

    Article  Google Scholar 

  3. Kim, T. et al. Polar metals by geometric design. Nature 533, 68–72 (2016).

    Article  CAS  Google Scholar 

  4. Liu, C.-C. et al. Directed self-assembly of block copolymers for 7 nanometre FinFET technology and beyond. Nat. Electron. 1, 562–569 (2018).

    Article  CAS  Google Scholar 

  5. Delgadillo, P. A. R. et al. Implementation of a chemo-epitaxy flow for directed self-assembly on 300-mm wafer processing equipment. J. Micro/Nanolithogr. MEMS MOEMS 11, 031302 (2012).

    Article  Google Scholar 

  6. Ji, S. X., Wan, L., Liu, C. C. & Nealey, P. F. Directed self-assembly of block copolymers on chemical patterns: a platform for nanofabrication. Prog. Polym. Sci. 54–55, 76–127 (2016).

    Article  Google Scholar 

  7. Liu, C. C. et al. Chemical patterns for directed self-assembly of lamellae-forming block copolymers with density multiplication of features. Macromolecules 46, 1415–1424 (2013).

    Article  CAS  Google Scholar 

  8. Mansky, P., Liu, Y., Huang, E., Russell, T. & Hawker, C. Controlling polymer-surface interactions with random copolymer brushes. Science 275, 1458–1460 (1997).

    Article  CAS  Google Scholar 

  9. Lane, A. P. et al. Directed self-assembly and pattern transfer of five nanometer block copolymer lamellae. ACS Nano 11, 7656–7665 (2017).

    Article  CAS  Google Scholar 

  10. Li, X. M. & Deng, H. Poly(2-vinylpyridine)-b-poly(fluorinated methacrylate) block copolymers forming 5 nm domains containing metallocene. ACS Appl. Polym. Mater. 2, 3601–3611 (2020).

    Article  CAS  Google Scholar 

  11. Sinturel, C., Bates, F. S. & Hillmyer, M. A. High χ–low N block polymers: how far can we go? ACS Macro Lett. 4, 1044–1050 (2015).

    Article  CAS  Google Scholar 

  12. Sunday, D. F., List, S., Chawla, J. S. & Kline, R. J. Evaluation of the effect of data quality on the profile uncertainty of critical dimension small angle X-ray scattering. J. Micro/Nanolithogr. MEMS MOEMS 15, 014001 (2016).

  13. Yang, G.-W. et al. Directed self-assembly of polystyrene-b-poly(propylene carbonate) on chemical patterns via thermal annealing for next generation lithography. Nano Lett. 17, 1233–1239 (2017).

    Article  CAS  Google Scholar 

  14. Zhang, X. S., He, Q. B., Chen, Q., Nealey, P. F. & Ji, S. X. Directed self-assembly of high χ poly(styrene-b-(lactic acid-alt-glycolic acid)) block copolymers on chemical patterns via thermal annealing. ACS Macro Lett. 7, 751–756 (2018).

    Article  CAS  Google Scholar 

  15. Poelma, J. E. et al. Cyclic block copolymers for controlling feature sizes in block copolymer lithography. ACS Nano 6, 10845–10854 (2012).

    Article  CAS  Google Scholar 

  16. Tang, C. B., Lennon, E. M., Fredrickson, G. H., Kramer, E. J. & Hawker, C. J. Evolution of block copolymer lithography to highly ordered square arrays. Science 322, 429–432 (2008).

    Article  CAS  Google Scholar 

  17. Han, L. et al. Uniform two-dimensional square assemblies from conjugated block copolymers driven by π–π interactions with controllable sizes. Nat. Commun. 9, 865 (2018).

    Article  Google Scholar 

  18. Yu, B., Danielsen, S. P. O., Patterson, A. L., Davidson, E. C. & Segalman, R. A. Effects of helical chain shape on lamellae-forming block copolymer self-assembly. Macromolecules 52, 2560–2568 (2019).

    Article  CAS  Google Scholar 

  19. Suh, H. S. et al. Sub-10-nm patterning via directed self-assembly of block copolymer films with a vapour-phase deposited topcoat. Nat. Nanotechnol. 12, 575–583 (2017).

    Article  CAS  Google Scholar 

  20. Xiong, S. et al. Directed self-assembly of triblock copolymer on chemical patterns for sub-10-nm nanofabrication via solvent annealing. ACS Nano 10, 7855–7865 (2016).

    Article  CAS  Google Scholar 

  21. Edwards, E. W. et al. Mechanism and kinetics of ordering in diblock copolymer thin films on chemically nanopatterned substrates. J. Polym. Sci. B Polym. Phys. 43, 3444–3459 (2005).

    Article  CAS  Google Scholar 

  22. Müller, M. & de Pablo, J. J. Computational approaches for the dynamics of structure formation in self-assembling polymeric materials. Annu. Rev. Mater. Res. 43, 1–34 (2013).

    Article  Google Scholar 

  23. Ruiz, R. et al. Density multiplication and improved lithography by directed block copolymer assembly. Science 321, 936–939 (2008).

    Article  CAS  Google Scholar 

  24. Khaira, G. et al. Derivation of multiple covarying material and process parameters using physics-based modeling of X-ray data. Macromolecules 50, 7783–7793 (2017).

    Article  CAS  Google Scholar 

  25. Matsen, M. W. & Bates, F. S. Block copolymer microstructures in the intermediate-segregation regime. J. Chem. Phys. 106, 2436–2448 (1997).

    Article  CAS  Google Scholar 

  26. Hur, S. M. et al. Molecular pathways for defect annihilation in directed self-assembly. Proc. Natl Acad. Sci. USA 112, 14144–14149 (2015).

    Article  CAS  Google Scholar 

  27. Hur, S. M., Thapar, V., Ramirez-Hernandez, A., Nealey, P. F. & de Pablo, J. J. Defect annihilation pathways in directed assembly of lamellar block copolymer thin films. ACS Nano 12, 9974–9981 (2018).

    Article  CAS  Google Scholar 

  28. Li, W., Nealey, P. F., de Pablo, J. J. & Muller, M. Defect removal in the course of directed self-assembly is facilitated in the vicinity of the order-disorder transition. Phys. Rev. Lett. 113, 168301 (2014).

    Article  Google Scholar 

  29. Kim, S., Nealey, P. F. & Bates, F. S. Decoupling bulk thermodynamics and wetting characteristics of block copolymer thin films. ACS Macro Lett. 1, 11–14 (2012).

    Article  Google Scholar 

  30. Gudipati, C. S. et al. Synthesis of poly(glycidyl methacrylate)-block-poly(pentafluorostyrene) by RAFT: precursor to novel amphiphilic poly(glyceryl methacrylate)-block-poly(pentafluorostyrene). Macromol. Rapid Commun. 29, 1902–1907 (2008).

    Article  CAS  Google Scholar 

  31. Ren, Y., Lodge, T. P. & Hillmyer, M. A. Synthesis, characterization, and interaction strengths of difluorocarbene-modified polystyrene–polyisoprene block copolymers. Macromolecules 33, 866–876 (2000).

    Article  CAS  Google Scholar 

  32. Paul, D. R. & Barlow, J. W. A binary interaction model for miscibility of copolymers in blends. Polymer 25, 487–494 (1984).

    Article  CAS  Google Scholar 

  33. Peters, R. D., Yang, X. M., Kim, T. K., Sohn, B. H. & Nealey, P. F. Using self-assembled monolayers exposed to X-rays to control the wetting behavior of thin films of diblock copolymers. Langmuir 16, 4625–4631 (2000).

    Article  CAS  Google Scholar 

  34. Tseng, Y.-C., Peng, Q., Ocola, L. E., Elam, J. W. & Darling, S. B. Enhanced block copolymer lithography using sequential infiltration synthesis. J. Phys. Chem. C 115, 17725–17729 (2011).

    Article  CAS  Google Scholar 

  35. Azarnouche, L. et al. Plasma and photon interactions with organosilicon polymers for directed self-assembly patterning applications. J. Vac. Sci. Technol. B 34, 061602 (2016).

    Article  Google Scholar 

  36. Liu, C.-C. et al. Towards an all-track 300 mm process for directed self-assembly. J. Vac. Sci. Technol. B 29, 06F203 (2011).

    Article  Google Scholar 

  37. Tsai, H. Y. et al. Sub-30 nm pitch line-space patterning of semiconductor and dielectric materials using directed self-assembly. J. Vac. Sci. Technol. B 30, 06F205 (2012).

    Article  Google Scholar 

  38. Kim, S., Nealey, P. F. & Bates, F. S. Directed assembly of lamellae forming block copolymer thin films near the order–disorder transition. Nano Lett. 14, 148–152 (2014).

    Article  CAS  Google Scholar 

  39. Kim, S. O. et al. Epitaxial self-assembly of block copolymers on lithographically defined nanopatterned substrates. Nature 424, 411–414 (2003).

    Article  CAS  Google Scholar 

  40. Gstrein, F. Scaling opportunities with next-generation, multi-pitch directed self assembly. Proc. SPIE 11610, 116100J (2021).

    Google Scholar 

  41. Gao, J. et al. Effect of graft density and molecular weight on mechanical properties of rubbery block copolymer grafted SiO2 nanoparticle toughened epoxy. Polymer 54, 3961–3973 (2013).

    Article  CAS  Google Scholar 

  42. Zdyrko, B., Klep, V. & Luzinov, I. Synthesis and surface morphology of high-density poly(ethylene glycol) grafted layers. Langmuir 19, 10179–10187 (2003).

    Article  CAS  Google Scholar 

  43. Maher, M. J. et al. Interfacial design for block copolymer thin films. Chem. Mater. 26, 1471–1479 (2014).

    Article  CAS  Google Scholar 

  44. Jiang, Z. GIXSGUI: a MATLAB toolbox for grazing-incidence X-ray scattering data visualization and reduction, and indexing of buried three-dimensional periodic nanostructured films. J. Appl. Cryst. 48, 917–926 (2015).

    Article  CAS  Google Scholar 

  45. Owens, D. K. & Wendt, R. Estimation of the surface free energy of polymers. J. Appl. Polym. Sci. 13, 1741–1747 (1969).

    Article  CAS  Google Scholar 

  46. Kaelble, D. Dispersion-polar surface tension properties of organic solids. J. Adhes. 2, 66–81 (1970).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This research was supported by the US Department of Commerce, National Institute of Standards and Technology, as part of the Center for Hierarchical Materials Design (CHiMaD). Part of this work was carried out at the Soft Matter Characterization Facility of the University of Chicago. Surface energy measurements were carried out in KRÜSS Surface Science Laboratory in the University of Chicago. This facility is a joint collaborative venture with KRÜSS. We acknowledge the MRSEC Shared User Facilities at the University of Chicago (NSF DMR-1420709). This work made use of the Pritzker Nanofabrication Facility of the Pritzker School of Molecular Engineering at the University of Chicago, which receives support from Soft and Hybrid Nanotechnology Experimental (SHyNE) Resource (NSF ECCS-1542205), a node of the National Science Foundation’s National Nanotechnology Coordinated Infrastructure. Work at the Molecular Foundry was supported by the Office of Science, Office of Basic Energy Sciences, of the US Department of Energy under contract no. DE-AC02-05CH11231. N.Z. acknowledges Jiangsu Overseas Visiting Scholar Program for University Prominent Young & Middle-Aged Teachers and Presidents.

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Contributions

H.F., M.D. and N.Z. designed and carried out the experiments and analysed the data, with supervision from S.J.R. and P.F.N. S.Y. performed the etch selectivity study and DSA work. P.M. and C.Z. performed a portion of the polymer synthesis and island–hole test. W.L. and W.C. performed the DSA and SEM imaging. H.F., M.D., N.Z., S.Y., G.S.W.C., J.J.d.P., S.J.R. and P.F.N. wrote the manuscript.

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Correspondence to Stuart J. Rowan or Paul F. Nealey.

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Feng, H., Dolejsi, M., Zhu, N. et al. Optimized design of block copolymers with covarying properties for nanolithography. Nat. Mater. 21, 1426–1433 (2022). https://doi.org/10.1038/s41563-022-01392-1

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