The stratigraphic architecture suggests a genetic correlation between high-energy fluvial discharges (possibly related to meltwater release) and coarse-grained deposits (non-cohesive density-flow deposits) accumulated on the delta foreset and bottomset.
Five facies associations were identified and comprise the following coeval depositional settings from the more proximal to the more distal: A) braided fluvial/delta-plain, B) channel-mouth zone, C) delta-slope, D) distal marine glacially-influenced and E) non-cohesive density-flow deposits.
It was also found that the cohesive energy density enhanced with the increase in the amino group content, and the higher the cohesive energy density, the easier the formation of the ASO modification layer.
The equation obtained from the simple lattice model can be extended semiempirically to apply to mixtures of molecules whose sizes are not nearly the same by using volume fractions instead of mole fractions to express the effect of composition and by introducing the concept of cohesive energy density, which is defined as the potential energy of a liquid divided by its volume.
Moreover, empirical relations are proposed for calculating the surface tension, the cohesive energy density and the isothermal compressibility.
The SFEs also correlate with the cohesive energy density (cohesive energy of unit volume) with the exception of Be, Co, Tc and Re.
Cohesive energy density and the Hildebrand solubility parameter of pure poly phenylenesulfone) and nanocomposite are calculated to compare the thermal analysis of them.
where R is the gas constant and ΔEmix is the cohesive energy density which is obtained from the MD simulation as mentioned in "Molecular dynamics simulation".
