Computational Reverse-Engineering Analysis for Scattering Experiments on Amphiphilic Block Polymer Solutions Academic Article uri icon

abstract

  • In this paper, we present a computational reverse-engineering analysis for scattering experiments (CREASE) based on genetic algorithms and molecular simulation to analyze the structure within self-assembled amphiphilic polymer solutions. For a given input comprised of scattering intensity profiles and information about the amphiphilic polymers in solution, CREASE outputs the structure of the self-assembled micelles (e.g., core and corona diameters, aggregation number) as well as the conformations of the amphiphilic polymer chains in the micelle (e.g., blocks' radii of gyration, chain radii of gyration, monomer concentration profiles). First, we demonstrate CREASE's ability to reverse-engineer self-assembled nanostructures for scattering profiles obtained from molecular simulations (or in silico experiments) of generic coarse-grained bead-spring polymer chains in an implicit solvent. We then present CREASE's outputs for scattering profiles obtained from small-angle neutron scattering (SANS) experiments of poly(d-glucose carbonate) block copolymers in solution that exhibit assembly into spherical nanoparticles. The success of this method is demonstrated by its ability to replicate, quantitatively, the results from in silico experiments and by the agreement in micelle core and corona sizes obtained from microscopy of the in vitro solutions. The primary strength of CREASE is its ability to analyze scattering profiles without an off-the-shelf scattering model and the ability to provide chain and monomer level structural information that is otherwise difficult to obtain from scattering and microscopy alone.

altmetric score

  • 5.8

author list (cited authors)

  • Beltran-Villegas, D. J., Wessels, M. G., Lee, J. Y., Song, Y., Wooley, K. L., Pochan, D. J., & Jayaraman, A.

citation count

  • 9

complete list of authors

  • Beltran-Villegas, Daniel J||Wessels, Michiel G||Lee, Jee Young||Song, Yue||Wooley, Karen L||Pochan, Darrin J||Jayaraman, Arthi

publication date

  • September 2019