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Characterizing the Interface Scaling of High χ Block Copolymers near the Order-Disorder Transition.
- Source :
-
Macromolecules [Macromolecules] 2018 Jan 09; Vol. 51 (1), pp. 173-180. Date of Electronic Publication: 2017 Dec 15. - Publication Year :
- 2018
-
Abstract
- Advancements in the directed self-assembly of block copolymers (BCPs) have prompted the development of new materials with larger effective interaction parameters ( χ <subscript>e</subscript> ). This enables BCP systems with phase separation at increasingly small degrees of polymerization ( N ). Very often these systems reside near the order-disorder transition and fit between the weak and strong segregation limits where the behavior of BCP systems is not as thoroughly understood. Utilizing resonant soft X-ray reflectivity (RSoXR) enables both the BCP pitch ( L <subscript>0</subscript> ) and interface width ( w <subscript>M</subscript> ) to be determined simultaneously, through a direct characterization of the composition profile of BCP lamellae oriented parallel to a substrate. A series of high χ <subscript>e</subscript> BCPs with χ <subscript>e</subscript> ranging from ≈0.04 to 0.25 and χ <subscript>e</subscript> N from 19 to 70 have been investigated. The L <subscript>0</subscript> / w <subscript>m</subscript> ratio serves as an important metric for the feasibility of a material for nanopatterning applications; the results of the RSoXR measurement are used to establish a relationship between χ <subscript>e</subscript> and L <subscript>0</subscript> / w <subscript>m</subscript> . The results of this analysis are correlated with experimentally established limits for the functionality of BCPs in nanopatterning applications. These results also provide guidance for the magnitude of χ <subscript>e</subscript> needed to achieve small interface width for samples with sub-10 nm L <subscript>0</subscript> .<br />Competing Interests: Notes The authors declare no competing financial interest.
Details
- Language :
- English
- ISSN :
- 0024-9297
- Volume :
- 51
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Macromolecules
- Publication Type :
- Academic Journal
- Accession number :
- 29706666
- Full Text :
- https://doi.org/10.1021/acs.macromol.7b01982