journal article·2024-04-10Open access

Revealing the Kinetic Phase Behavior of Block Copolymer Complexes Using Solvent Vapor Absorption–Desorption Isotherms

Nayanathara Hendeniya, Caden Chittick, Kaitlyn Hillery, Shaghayegh Abtahi, Curtis Mosher, Boyce Chang

ACS Applied Materials & Interfaces· Volume 16· Issue 14

Abstract

High Resolution Image Download MS PowerPoint Slide Controlling the self-assembled morphologies in block copolymers heavily depends on their molecular architecture and processing conditions. Solvent vapor annealing is a versatile processive pathway to obtain highly periodic self-assemblies from high chi (χ) block copolymers (BCPs) and supramolecular BCP complexes. Despite the importance of navigating the energy landscape, controlled solvent vapor annealing (SVA) has not been investigated in BCP complexes, partly due to its intricate multicomponent nature. We introduce characteristic absorption–desorption solvent vapor isotherms as an effective way to understand swelling behavior and follow the morphological evolution of the polystyrene- block -poly(4-vinylpyridine) block copolymer complexed with pentadecylphenol (PS- b -P4VP(PDP)). Using the sorption isotherms, we identify the glass transition points, polymer–solvent interaction parameters, and bulk modulus. These parameters indicate that complexation completely screens the polymer interchain interactions. Furthermore, we established that the sorption isotherm of the homopolymer blocks serves to deconvolute the intricacy of BCP complexes. We applied our findings by developing annealing pathways for grain coarsening while preventing macroscopic film dewetting under SVA. Here, grain coarsening obeyed a power law and the growth exponent revealed a kinetic transition point for rapid self-assembly. Overall, SVA-based sorption isotherms have emerged as a critical method for understanding and developing annealing pathways for BCP complexes.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Block Copolymer Self-Assembly · Advanced Polymer Synthesis and Characterization · Machine Learning in Materials Science

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering, Iowa State University, Ames, Iowa 50011, United States

Roy J. Carver High-Resolution Microscopy Facility, Office of Biotechnology, Iowa State University, Ames, Iowa 50011, United States

Micro-Electronics Research Center, Iowa State University, Ames, Iowa 50011, United States

Funding

Iowa State University

References (62)

Show source-provided references
1. 10.1002/1521-4095(20021002)14:19<1373::AID-ADMA1373>3.0.CO;2-F10.1002/1521-4095(20021002)14:19<1373::AID-ADMA1373>3.0.CO;2-F ↗
2. 10.1126/sciadv.150010110.1126/sciadv.1500101 ↗
3. 10.1038/s41563-022-01392-110.1038/s41563-022-01392-1 ↗
4. 10.1021/acsami.2c1650810.1021/acsami.2c16508 ↗
5. 10.1021/acs.macromol.0c0244110.1021/acs.macromol.0c02441 ↗
6. 10.1021/acsami.2c0029610.1021/acsami.2c00296 ↗
7. 10.1016/j.progpolymsci.2014.10.00210.1016/j.progpolymsci.2014.10.002 ↗
8. 10.1002/(SICI)1521-4095(199906)11:9<777::AID-ADMA777>3.0.CO;2-M10.1002/(SICI)1521-4095(199906)11:9<777::AID-ADMA777>3.0.CO;2-M ↗
9. 10.1021/ma980189n10.1021/ma980189n ↗
10. 10.1021/ma800726r10.1021/ma800726r ↗
11. 10.1021/ma060838s10.1021/ma060838s ↗
12. 10.1021/ma301974z10.1021/ma301974z ↗
13. 10.1021/ma900497j10.1021/ma900497j ↗
14. 10.1126/science.106779410.1126/science.1067794 ↗
15. 10.1039/b719672e10.1039/b719672e ↗
16. 10.1002/(SICI)1521-4095(199910)11:14<1206::AID-ADMA1206>3.0.CO;2-U10.1002/(SICI)1521-4095(199910)11:14<1206::AID-ADMA1206>3.0.CO;2-U ↗
17. 10.1002/adfm.20029000310.1002/adfm.200290003 ↗
18. 10.1021/acs.macromol.8b0246010.1021/acs.macromol.8b02460 ↗
19. 10.1021/cm010571610.1021/cm0105716 ↗
20. 10.1021/ma00205a03310.1021/ma00205a033 ↗
21. 10.3390/polym1503049810.3390/polym15030498 ↗
22. 10.1021/acsami.2c2192410.1021/acsami.2c21924 ↗
23. 10.1021/acs.macromol.9b0229610.1021/acs.macromol.9b02296 ↗
24. 10.1126/sciadv.add368710.1126/sciadv.add3687 ↗
25. 10.1021/nl070006n10.1021/nl070006n ↗
26. 10.1021/ma061163w10.1021/ma061163w ↗
27. 10.1021/ma802480s10.1021/ma802480s ↗
28. 10.1002/polb.1988.09026051010.1002/polb.1988.090260510 ↗
29. 10.1021/ma950969l10.1021/ma950969l ↗
30. 10.1140/epje/i2008-10345-010.1140/epje/i2008-10345-0 ↗
31. 10.1063/1.502126910.1063/1.5021269 ↗
32. 10.1016/j.polymer.2021.12441710.1016/j.polymer.2021.124417 ↗
33. 10.1016/j.memsci.2021.11909910.1016/j.memsci.2021.119099 ↗
34. 10.1039/c3sm27475f10.1039/c3sm27475f ↗
35. 10.1007/s00397-019-01162-y10.1007/s00397-019-01162-y ↗
36. Scherrer P. · 1912 · 38710.1007/978-3-662-33915-2_7 ↗
37. 10.1021/ma992118+10.1021/ma992118+ ↗
38. 10.1002/polb.2393310.1002/polb.23933 ↗
39. 10.1021/acsmacrolett.0c0043410.1021/acsmacrolett.0c00434 ↗
40. 10.1063/1.47904210.1063/1.479042 ↗
41. 10.1021/ma60074a02910.1021/ma60074a029 ↗
42. 10.3390/polym1111188210.3390/polym11111882 ↗
43. 10.1021/ma702780c10.1021/ma702780c ↗
44. 10.1021/ma801814w10.1021/ma801814w ↗
45. 10.1021/ma00145a05110.1021/ma00145a051 ↗
46. 10.1103/PhysRevLett.62.185210.1103/PhysRevLett.62.1852 ↗
47. 10.1021/ma00176a03710.1021/ma00176a037 ↗
48. 10.1002/pi.590110.1002/pi.5901 ↗
49. 10.1016/j.progpolymsci.2015.10.00810.1016/j.progpolymsci.2015.10.008 ↗
50. 10.1038/s41467-022-34729-010.1038/s41467-022-34729-0 ↗
51. 10.1021/acs.macromol.0c0123310.1021/acs.macromol.0c01233 ↗
52. 10.1021/ma00162a03010.1021/ma00162a030 ↗
53. 10.1021/ma00077a03410.1021/ma00077a034 ↗
54. 10.1016/j.polymer.2004.09.02110.1016/j.polymer.2004.09.021 ↗
55. 10.1063/1.223464810.1063/1.2234648 ↗
56. 10.1021/acs.macromol.1c0140610.1021/acs.macromol.1c01406 ↗
57. 10.1021/ma060790i10.1021/ma060790i ↗
58. 10.1021/acs.macromol.5b0147310.1021/acs.macromol.5b01473 ↗
59. 10.1063/1.169971110.1063/1.1699711 ↗
60. 10.1209/epl/i2004-10126-510.1209/epl/i2004-10126-5 ↗
61. 10.1126/science.290.5496.155810.1126/science.290.5496.1558 ↗
62. 10.1103/PhysRevE.64.05010110.1103/PhysRevE.64.050101 ↗