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Issue 48, 2013
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Evolutionary pattern design for copolymer directed self-assembly

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Abstract

Directed assembly of block polymers is rapidly becoming a viable strategy for lithographic patterning of nanoscopic features. One of the key attributes of directed assembly is that an underlying chemical or topographic substrate pattern used to direct assembly need not exhibit a direct correspondence with the sought after block polymer morphology, and past work has largely relied on trial-and-error approaches to design appropriate patterns. In this work, a computational evolutionary strategy is proposed to solve this optimization problem. By combining the Cahn–Hilliard equation, which is used to find the equilibrium morphology, and the covariance-matrix evolutionary strategy, which is used to optimize the combined outcome of particular substrate–copolymer combinations, we arrive at an efficient method for design of substrates leading to non-trivial, desirable outcomes.

Graphical abstract: Evolutionary pattern design for copolymer directed self-assembly

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Publication details

The article was received on 19 Jul 2013, accepted on 09 Oct 2013 and first published on 10 Oct 2013


Article type: Paper
DOI: 10.1039/C3SM51971F
Citation: Soft Matter, 2013,9, 11467-11472
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    Evolutionary pattern design for copolymer directed self-assembly

    J. Qin, G. S. Khaira, Y. Su, G. P. Garner, M. Miskin, H. M. Jaeger and J. J. de Pablo, Soft Matter, 2013, 9, 11467
    DOI: 10.1039/C3SM51971F

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