Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-22127
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. Flumini, Dandolo Schneider, Johannes J. Füchslin, Rudolf M. |
et. al: | No |
DOI: | 10.1162/isal_a_00303 10.21256/zhaw-22127 |
Proceedings: | Proceedings of the Artificial Life Conference 2020 |
Page(s): | 602 |
Pages to: | 604 |
Conference details: | International Conference on Artificial Life (ALIFE), online, 13-18 July 2020 |
Issue Date: | 2020 |
Publisher / Ed. Institution: | Massachusetts Institute of Technology |
Language: | English |
Subjects: | Programmable chemistry; Morphological computation; Biomimetic prcoess management; Artificial life |
Subject (DDC): | 006: Special computer methods 540: Chemistry |
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. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/22127 |
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 | ![]() View/Open |
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Weyland, M. S., Flumini, D., Schneider, J. J., & Füchslin, R. M. (2020). A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactions [Conference paper]. Proceedings of the Artificial Life Conference 2020, 602–604. https://doi.org/10.1162/isal_a_00303
Weyland, M.S. et al. (2020) ‘A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactions’, in Proceedings of the Artificial Life Conference 2020. Massachusetts Institute of Technology, pp. 602–604. Available at: https://doi.org/10.1162/isal_a_00303.
M. S. Weyland, D. Flumini, J. J. Schneider, and R. M. Füchslin, “A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactions,” in Proceedings of the Artificial Life Conference 2020, 2020, pp. 602–604. doi: 10.1162/isal_a_00303.
WEYLAND, Mathias S., Dandolo FLUMINI, Johannes J. SCHNEIDER und Rudolf M. FÜCHSLIN, 2020. A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactions. In: Proceedings of the Artificial Life Conference 2020. Conference paper. Massachusetts Institute of Technology. 2020. S. 602–604
Weyland, Mathias S., Dandolo Flumini, Johannes J. Schneider, and Rudolf M. Füchslin. 2020. “A Compiler Framework to Derive Microfluidic Platforms for Manufacturing Hierarchical, Compartmentalized Structures That Maximize Yield of Chemical Reactions.” Conference paper. In Proceedings of the Artificial Life Conference 2020, 602–4. Massachusetts Institute of Technology. https://doi.org/10.1162/isal_a_00303.
Weyland, Mathias S., et al. “A Compiler Framework to Derive Microfluidic Platforms for Manufacturing Hierarchical, Compartmentalized Structures That Maximize Yield of Chemical Reactions.” Proceedings of the Artificial Life Conference 2020, Massachusetts Institute of Technology, 2020, pp. 602–4, https://doi.org/10.1162/isal_a_00303.
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