2016
DOI: 10.1063/1.4948270
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Perspective: Evolutionary design of granular media and block copolymer patterns

Abstract: The creation of new materials “by design” is a process that starts from desired materials properties and proceeds to identify requirements for the constituent components. Such process is challenging because it inverts the typical modeling approach, which starts from given micro-level components to predict macro-level properties. We describe how to tackle this inverse problem using concepts from evolutionary computation. These concepts have widespread applicability and open up new opportunities for design as we… Show more

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Cited by 35 publications
(27 citation statements)
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“…In a typical optimization of this type, more than a dozen material and geometry parameters are being tuned. 8,9,18 In Figure 3, we show the simulated evolution during annealing from initially disordered domains to a final stripe configuration that is highly ordered and aligned with the markers in the substrate. In the top panel, we plot the performance of black box CMA-ES for a case where the markers were placed a distance corresponding to three times the inherent domain spacing of the copolymer blocks.…”
Section: From Statistical Mechanics To Automated Designmentioning
confidence: 99%
See 1 more Smart Citation
“…In a typical optimization of this type, more than a dozen material and geometry parameters are being tuned. 8,9,18 In Figure 3, we show the simulated evolution during annealing from initially disordered domains to a final stripe configuration that is highly ordered and aligned with the markers in the substrate. In the top panel, we plot the performance of black box CMA-ES for a case where the markers were placed a distance corresponding to three times the inherent domain spacing of the copolymer blocks.…”
Section: From Statistical Mechanics To Automated Designmentioning
confidence: 99%
“…The data show the evolution of the objective function during optimization as a function of the number of iterations, or generations. (a) Standard, black box covariance matrix adaptation evolution strategy (CMA-ES) with substrate markers, indicated by slight vertical protrusions in the gray substrate and placed a distance of three domain repeat spacings apart 18. (b) Advanced evolution strategy using problem-specific ( )ρ λ | i xinEquation 4, with substrate markers of adjustable width w placed a distance 6 m of six domain repeat spacings apart.…”
mentioning
confidence: 99%
“…The CMAES algorithm has been used in prior work to find inverse solutions to various problems fast and efficiently. 57,74,75,77,85–87 A description of the algorithm can be found in previous work. 16,57,74,75,85 Here we use the method to find the set of model parameters that lead to the self-assembly in simulation of a BCP density profile that when transformed into a scattered intensity pattern has the best match with an experimental data set.…”
Section: Methodsmentioning
confidence: 99%
“…Dry friction between relatively sliding bodies can dissipate energy and produce hysteresis between the loading and unloading force–displacement curves. Therefore, a granular material, composed of many solid particles interacting with contact and friction forces, is considered as a promising option for energy dissipation . This has been experimentally confirmed in soft robots composed of jammed particles, propagation of earthquakes, waves, etc.…”
Section: Introductionmentioning
confidence: 96%