| Author(s): |
Vijay Tirumala; August W. Bosse; Eric K. Lin; Vikram Daga; Alvin Romang; Jan Ilavsky; J J. Watkins; |
| Title: |
Well-Ordered Polymer Melts with 5 nm Lamellar Domains from Blends of a Disordered Block Copolymer and a Selectively Associating Homopolymer of Low or High Molar Mass |
| Published: |
October 16, 2008 |
| Abstract: |
The use of short chain block copolymer melts as nanostructured templates for sub-10 nm domains is often limited by their low segregation strength (N). Since increasing molar mass to strengthen segregation also increases the interdomain spacing of block copolymer melts, it is more desirable to increase the Flory-Huggins segment-segment interaction parameter, to produce strong segregation. We have recently shown that poly (oxyethylene-oxypropylene-oxyethylene) block copolymer melts can undergo disorder-to-order transition when blended with a selectively associating homopolymer that can hydrogen bond with one of the blocks. Here, we study the effect of the molar mass of poly (acrylic acid) in the range (1 to 13) times that of the copolymer on the segregation of a 6.5 kg/mol poly (oxyethylene-oxypropylene-oxyethylene) copolymer melt. The neat copolymer is disordered and the addition of PAA resulted in a disordered-to-lamellar transition. Using small-angle and ultra-small-angle x-ray scattering, we found that the blends remain well ordered at 80 ˚C over the entire range of homopolymer chain lengths. A small increase in the interdomain spacing of the lamellae and an order-order transition from lamellae-to-cylindrical morphology was observed in all blends as a function of increasing homopolymer concentration. The trends observed in experiments were qualitatively reproduced in self-consistent field theoretical (SCFT) simulations. |
| Citation: |
Macromolecules |
| Volume: |
41 |
| Issue: |
21 |
| Pages: |
pp. 7978 - 7985 |
| Keywords: |
block copolymer; blends; scattering; mean-field theory; USAXS |
| Research Areas: |
Materials Science |
| PDF version: |
 Click here to retrieve PDF version of paper (2MB) |
