“…In light of the underlying chemical building block principle of the MARTINIFF, it is quite possible to model a variety of multicomponent systems. The MARTINI model enjoyed a remarkable success for modeling of a variety of biomolecular processes and has been incorporated by the worldwide user community to study a large number of systems including lipid membrane, protein, sugar, DNA, RNA, hydrocarbons, short peptides, polymers, etc. ,,− ,− , − In the past decade, the MARTINI model has been used successfully to simulate a variety of polymeric systems including homogeneous polymers, e.g., polyethylene (PE), polypropylene (PP), polyethylene glycol (PEO), and polystyrene (PS) . MARTINI CG parameters (bonded and nonbonded) for polymers typically are constructed by matching bond and angle distributions obtained from reference all-atom simulations, the free energy of transfer of the target repeating units in organic and aqueous phases, and long-range structural properties such as radii of gyration. ,, Apart from that, polymer melt density profile, structure factor, end-to-end distance, and persistence length can also be used as the validation target.…”