Preserving Positivity: Developments in Density-Explicit Field-Theoretic Simulations

ORAL

Abstract

Field-theoretic simulations (FTS) are numerical treatments of polymer field theory models that go beyond the mean-field level and account for composition fluctuations. Such simulations have successfully captured a range of mesoscopic phenomena. Modern field-based simulations of polymeric fluids rely upon the auxiliary field theory framework that uses Hubbard-Stratonovich transformations to invoke the particle-to-field transformation; the transform introduces an inverse potential limiting the functional form of the non-bonded potentials. Lifting the restriction on non-bonded potentials will facilitate studies of a broad range of systems whose description requires higher-body or more complex potentials. A candidate field theory is the hybrid density-explicit auxiliary field (DE-AF) theory, which retains each species' density field in addition to a conjugate auxiliary field. Although the DE-AF theory is not new, FTS simulations in the DE-AF framework have yet to be realized up to this point. A significant challenge is maintaining the nonnegative character of the density field during stochastic evolution. For this purpose, we utilize positivity-preserving schemes that allow for the first stable and efficient FTS simulations of the DE-AF theory.

* This work was supported by the CMMT Program of the National Science Foundation under grant no. DMR-2104255. T.Q. acknowledges support from the National Science Foundation Graduate Research Fellowship Program under grant no. 1650114. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Use was made of computational facilities purchased with funds from the National Science Foundation (CNS-1725797) and administered by the Center for Scientific Computing (CSC). The CSC is supported by the California NanoSystems Institute and the Materials Research Science and Engineering Center (MRSEC; NSF DMR 2308708) at UC Santa Barbara.

Presenters

  • Timothy Quah

    University of California, Santa Barbara

Authors

  • Timothy Quah

    University of California, Santa Barbara

  • Kevin Shen

    University of California, Santa Barbara

  • Kris T Delaney

    University of California, Santa Barbara

  • Glenn H Fredrickson

    University of California, Santa Barbara