By Stuart A. Rice
This sequence offers the chemical physics box with a discussion board for severe, authoritative reviews of advances in each zone of the self-discipline. quantity 129 within the sequence keeps to file contemporary advances with major, updated chapters through the world over famous researchers.
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Additional resources for Advances in Chemical Physics 129
Simulation results of L–t plots for non-HDD systems are also available. For a simple liquid [152,153], the movement of the liquid front demonstrates a (log t)1/2 dependence, which is inconsistent with experimental observations. Bekink et al.  examined the spreading of simple liquids on solid surfaces, and reported a (log t)1/2 dependence. When the nearest-neighbor distance is reduced, t1/2 dependence can be obtained. The spreading of polymeric liquids has also been studied by many investigators [10,81,154–156], and t1/2 dependence has been reported as well.
Black indicates a bare surface; white indicates peaks. (LJ1) and van der Waals (LJ2) potentials were used for nonpolar bead–bead and bead–wall interactions, respectively. For polar interactions, exponential potential functions (EXP1,2) were added to both bead–bead and bead–wall cases. For the bonding potential between adjacent beads in the chain, a finitely extensible nonlinear elastic (FENE) model was used.
To examine the dewetting phenomenon as a function of endgroup–endgroup and endgroup–surface interaction energies, simulations are conducted on a 3D lattice with periodic dimensions of 512 Â 512 parallel to the surface. 39. If the endgroup– endgroup interactions are too strong, the layer does not relax. The amount that a layer will relax is determined by the endgroup interaction strength. To better examine the driving forces behind the nanoscale spreading process, we are currently developing a continuous spin-state SRS model for an off-lattice scenario.