Literature DB >> 29486558

Inverse Design of Self-Assembling Frank-Kasper Phases and Insights Into Emergent Quasicrystals.

Beth A Lindquist, Ryan B Jadrich, William D Piñeros, Thomas M Truskett.   

Abstract

We discuss how a machine learning approach based on relative entropy optimization can be used as an inverse design strategy to discover isotropic pair interactions that self-assemble single- or multicomponent particle systems into Frank-Kasper phases. In doing so, we also gain insights into the self-assembly of quasicrystals.

Year:  2018        PMID: 29486558     DOI: 10.1021/acs.jpcb.7b11841

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  1 in total

1.  Computational explorations in the space of one-component crystals.

Authors:  Jonathan P K Doye; Eva G Noya
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-08       Impact factor: 11.205

  1 in total

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