Dissipative
particle dynamics (DPD) simulations are performed to study the phase
transition of sodium dodecyl sulfate (SDS) in aqueous solution, which
is an anionic surfactant commonly known as sodium dodecyl sulfate.
In this work, the aim is to find a coarse-grained minimal model suitable
to produce the full phase diagram of SDS. We examine the coarse-grained
models of SDS, which have been used in earlier computational studies
to produce the phases as well as for finding the critical micelle
concentration (CMC) of SDS. We contrast the results based on these
models with the experimental observations to assess their accuracy.
Our research also takes into account the importance of sodium ions,
which come from the partial dissociation of SDS, when dissolved in
water. The effect of sodium ion has not been considered explicitly
in the computational work done so far using dissipative particle dynamics.
In light of the above explorations, we propose new models for SDS
and demonstrate that they successfully produce a compendious SDS phase
diagram, which can precisely overlay the experimental results.