Chemistry Reference
In-Depth Information
lattice is employed, and kink translocations are introduced to speed up
the computations. Similarly, Monte Carlo simulations have been used to
calculate dimensions of ring polymers
294-296
and excluded volume effects
in semiflexible ring polymers.
297
Monte Carlo simulations have also been
used to characterize stiffening transitions in semiflexible cyclics.
298
Mo-
lecular dynamics simulations have given interesting information on both
static
299-300
and dynamic properties
299-301
of cyclic polymers. A self-
consistent field theory for Gaussian ring polymers is also available.
302
Di-
mensional analyses using a scaling model have been used to describe
cyclic molecules in general, including those of PDMS.
303
Finally, simula-
tions have been carried out on the cyclization of α,ω-telechelic chains.
304
3.5.3 Comparisons Between Polysiloxane Cyclics and Polysiloxane
Linear Chains
There have been many comparisons of cyclic polysiloxanes with the corre-
sponding linear chains of the same molecular weight. Table 3.3 provides
Table 3.3.
COMPARISONS BETWEEN CYCLIC POLYSILOX ANES AND LINEAR
POLYSILOX ANES OF THE SAME MOLECULAR WEIGHT
Value of property for
cyclics relative to linears Reference
Property
Polymer
Intrinsic
viscosities
Poly(dimethylsiloxane)
Lower
347-348
Gel permeation
chromatography
“
Both gave sharp
fractions
349-350
Chain dimensions
“
Lower
351
Bulk viscosities
“
Higher at low M, but
lower at high M
352
Diffusion
coefficients
“
Higher
353-356
Effects of heat
“
Both show bond
interchanges
357-358
Second virial
coefficients
“
Lower
359
Radii of gyration
(Monte Carlo)
“
Lower
360
Ellipsoidal shapes
(Monte Carlo)
“
Lower asymmetry
361
(
continued
)