2003/11/14 by Roland Faller
Physics and Astronomy · #cond-mat.soft #cond-mat.mtrl-sci
paper · pdf · doi:10.1016/j.polymer.2003.11.053
published as POLYMER 45(11), 3869-3876 (2004) · 17 pages, 5 figures
arxiv created 2003/11/14 · arxiv updated 2009/12/01
Several recently proposed semi--automatic and fully--automatic coarse--graining schemes for polymer simulations are discussed. All these techniques derive effective potentials for multi--atom units or super--atoms from atomistic simulations. These include techniques relying on single chain simulations in vacuum and self--consistent optimizations from the melt like the simplex method and the inverted Boltzmann method. The focus is on matching the polymer structure on different scales. Several ways to obtain a time-scale for dynamic mapping are discussed additionally. Finally, similarities to other simulation areas where automatic optimization are applied as well are pointed out.