The relationship between ionic conductivity, morphology, and rheological properties of polystyrene-block-poly(ethylene oxide) copolymers (SEO) doped with a lithium salt, Li[N(SO2CF3)2], is elucidated. We focus
on lamellar samples with poly(ethylene oxide) (PEO) volume fractions, φ, ranging from 0.38 to 0.55, and PEO
block molecular weights, M
PEO, ranging from 16 to 98 kg/mol. The low-frequency storage modulus (G‘) at 90 °C
increases with increasing M
PEO from about 4 × 105 to 5 × 107 Pa. Surprisingly, the conductivity of the SEO/salt
mixtures with the molar ratio of Li to ethylene oxide moieties of 0.02 σ, also increases with increasing M
PEO,
from 6.2 × 10-5 to 3.6 × 10-4 S/cm at 90 °C. We compare σ with the conductivity of pure PEO/salt mixtures,
σPEO, and find that σ/[φσPEO] of our highest molecular weight sample is close to 0.67, the theoretical upper limit
for transport through randomly oriented lamellar grains.
The ionic conductivity, σ, of mixtures of nearly symmetric polystyrene-block-poly(ethylene oxide) copolymers and Li[N(SO 2 CF 3 ) 2 ] (LiTFSI) salt was measured as a function of molecular weight, salt concentration, and temperature. The molecular weight of the poly(ethylene oxide) block, M PEO , was varied from 7 to 98 kg/mol. The molar ratio of lithium to ethylene oxide, r, was varied from 0.02 to 0.10. In general, σ increases with increasing M PEO for all values of r. The data can be summarized by plots of normalized conductivity, σ n , versus M PEO , where σ n = σ/( fφ PEO σ PEO ), φ PEO is the PEO volume fraction in the copolymer, σ PEO is the conductivity of PEO homopolymer, and f is a morphology-dependent factor set equal to 2/3 for our lamellar samples. The temperature-dependent conductivity data at a given salt concentration collapse onto a single curve when plotted in this format. At r = 0.085, σ n values reach a plateau in the vicinity of unity in the high M PEO limit. At other values of r, σ n continues to increase with M PEO within the experimental range and reaches a value of around 0.5 in the high M PEO limit.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.