Erratum: Accelerated search and design of stretchable graphene kirigami using machine learning (Physical Review Materials (2018) 121 (255304) DOI: 10.1103/PhysRevLett.121.255304)

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Abstract

The AIREBO potential has two cutoffs in the switching function to model carbon-carbon interactions [1]. In our original Letter [2], we used the default value of the minimum cutoff (rcmin-CC), which is 1.7 Å. Several recent works have suggested setting the minimum cutoff to 1.9.2.0 Å in order to avoid hardening behavior [33.7]. In particular, Wei et al. found that choosing rcmin - CC = 1.92 Å produces a stress-strain curve that is in a good agreement with density functional theory calculations (see the Supplemental Material of Ref. [3]). Using a mincutoff rcmin - CC = 1.92 Å does not change the conclusions of our Letter. The resulting optimal structures that are found are similar to those with a 1.7 Å mincutoff. The main difference is that the yield strain and stress are generally lower. The average yield strain of kirigamis with 0.15 allowed cuts in 15 grids is 10% lower. Lastly, we note that there was a mislabeling in Fig. 2(b) of the original Letter, as the value of yield strain and yield stress for kirigami with no cut (pristine ribbon) should be 0.25 and 127 GPa, respectively. We acknowledge discussions with Bin Ding drawing our attentions regarding the AIREBO potential and the mislabelled data point. We have made our codes to generate kirigami structures and TensorFlow codes available online [8]. ACKNOWLEDGEMENTS P.Z.H., D.K.C., and H.S.P. acknowledge the Hariri Institute Research Incubation Grant No. 2018-02-002 and the Boston University High Performance Shared Computing Cluster.

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Hanakata, P. Z., Cubuk, E. D., Campbell, D. K., & Park, H. S. (2019, August 8). Erratum: Accelerated search and design of stretchable graphene kirigami using machine learning (Physical Review Materials (2018) 121 (255304) DOI: 10.1103/PhysRevLett.121.255304). Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.123.069901

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