isotropic pair
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2017 ◽  
Author(s):  
Beth Lindquist ◽  
Ryan Jadrich ◽  
William Pineros ◽  
Thomas Truskett

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 multi-component particle systems into Frank-Kasper phases. In doing so, we also gain insights into self-assembly of quasicrystals.


AIP Advances ◽  
2017 ◽  
Vol 7 (11) ◽  
pp. 115307 ◽  
Author(s):  
William D. Piñeros ◽  
Ryan B. Jadrich ◽  
Thomas M. Truskett

Author(s):  
Beth Lindquist ◽  
Ryan Jadrich ◽  
William Pineros ◽  
Thomas Truskett

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 multi-component particle systems into Frank-Kasper phases. In doing so, we also gain insights into self-assembly of quasicrystals.


Soft Matter ◽  
2016 ◽  
Vol 12 (10) ◽  
pp. 2663-2667 ◽  
Author(s):  
Beth A. Lindquist ◽  
Ryan B. Jadrich ◽  
Thomas M. Truskett

Inverse design was used to discover an isotropic pair interaction that assembles particles into an inhomogeneous fluid matrix surrounding pores of prescribed size and morphology.


2013 ◽  
Vol 39 (5) ◽  
pp. 394-398 ◽  
Author(s):  
O. S. Vaulina ◽  
I. I. Lisina ◽  
K. G. Koss

2010 ◽  
Vol 82 (5) ◽  
Author(s):  
O. S. Vaulina ◽  
X. G. Koss ◽  
Yu. V. Khrustalyov ◽  
O. F. Petrov ◽  
V. E. Fortov

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