Morpho: A programmable environment for shape optimization and shape-shifting

POSTER

Abstract

Materials that change shape, often dramatically, are ubiquitous in soft matter physics and beyond. Determining their structure requires minimizing a given energy functional with respect to the shape of the domain and auxiliary fields describing the structure. Such shape optimization problems are very challenging to solve and there is a lack of suitable simulation tools that are both readily accessible and general purpose. We address this gap with Morpho, an open-source programmable environment for shape optimization and shape-shifting. Capable of simultaneously optimizing for shape and fields in any number of dimensions, Morpho can be used to model a host of soft matter systems and beyond. We showcase examples from diverse systems ranging from biological membranes, liquid crystal tactoids, constrained flexible filaments and swelling hydrogels.

*This material is based upon work supported by the National Science Foundation under Grant No. ACI-2003820

Publication: Morpho -- A programmable environment for shape optimization and shapeshifting problems: https://arxiv.org/abs/2208.07859

Presenters

  • Chaitanya S Joshi

    • Tufts University

Authors

  • Chaitanya S Joshi

    • Tufts University
  • Daniel Goldstein

    • Brandeis University
  • Cole E Wennerholm

    • Tufts University
  • Eoghan Downey

    • Tufts Unversity
  • Emmett Hamilton

    • Tufts University
  • Samuel Hocking

    • Tufts University
  • Anca Andrei

    • Tufts University
  • James Adler

    • tufts University
  • Tim J Atherton

    • Tufts University