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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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.
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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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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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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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DOI: https://doi.org/10.1038/s41563-022-01392-1
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