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|Publication type:||Conference paper|
|Type of review:||Not specified|
|Title:||A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactions|
|Authors:||Weyland, Mathias S.|
Schneider, Johannes J.
Füchslin, Rudolf M.
|Proceedings:||ALIFE 2020 : Proceedings of the Artificial Life Conference 2020|
|Conference details:||Conference on Artificial Life (ALIFE), Online, 13-18 July 2020|
|Publisher / Ed. Institution:||Massachusetts Institute of Technology|
|Subjects:||Programmable chemistry; Morphological computation; Biomimetic prcoess management; Artificial life|
|Subject (DDC):||006: Special computer methods |
|Abstract:||In this work, we propose a framework that derives the configuration of an artificial, compartmentalized, cell-like structure in order to maximize the yield of a desired output reactant given a formal description of the chemistry. The configuration of the structure is then used to compile G-code for 3D printing of a microfluidic platform able to manufacture the aforementioned structure. Furthermore, the compiler output includes a set of pressure profiles to actuate the valves at the input of the microfluidic platform. The work includes an outline of the steps involved in the compilation process and a discussion of the algorithms needed for each step. Finally, we provide formal, declarative languages for the input and output interfaces of each of these steps.|
|Fulltext version:||Published version|
|License (according to publishing contract):||CC BY 4.0: Attribution 4.0 International|
|Departement:||School of Engineering|
|Organisational Unit:||Institute of Applied Mathematics and Physics (IAMP)|
|Appears in collections:||Publikationen School of Engineering|
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|2020_Weyland-etal_Compiler-framework-microfluidic-platforms_ALIFE.pdf||82.61 kB||Adobe PDF|
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