Yield prediction in parallel homogeneous assembly.
نویسندگان
چکیده
We investigate the parallel assembly of two-dimensional, geometrically-closed modular target structures out of homogeneous sets of macroscopic components of varying anisotropy. The yield predicted by a chemical reaction network (CRN)-based model is quantitatively shown to reproduce experimental results over a large set of conditions. Scaling laws for parallel assembling systems are then derived from the model. By extending the validity of the CRN-based modelling, this work prompts analysis and solutions to the incompatible substructure problem.
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ورودعنوان ژورنال:
- Soft matter
دوره 13 41 شماره
صفحات -
تاریخ انتشار 2017