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https://doi.org/10.21256/zhaw-19855| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | Towards programmable chemistries |
| Authors: | Flumini, Dandolo Weyland, Mathias S. Schneider, Johannes J. Fellermann, Harold Füchslin, Rudolf M. |
| et. al: | No |
| DOI: | 10.1007/978-3-030-45016-8_15 10.21256/zhaw-19855 |
| Proceedings: | Artificial Life and Evolutionary Computation |
| Editors of the parent work: | Cicirelli, Franco Guerrieri, Antonio Pizzuti, Clara Socievole, Annalisa Spezzano, Giandomenico Vinci, Andrea |
| Conference details: | XIV Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE), Rende, Italy, 18-20 September 2019 |
| Issue Date: | 2020 |
| Series: | Communications in Computer and Information Science |
| Series volume: | 1200 |
| Publisher / Ed. Institution: | Springer |
| ISBN: | 978-3-030-45015-1 978-3-030-45016-8 |
| Language: | English |
| Subjects: | Programmable chemistry; Formal language; Artificial chemistry; Compartimentalized chemistry; Biochemical engineering; Theoretical computer science |
| Subject (DDC): | 540: Chemistry |
| Abstract: | We provide a practical construction to map (slightly modified) GOTO-programs to chemical reaction systems. While the embedding reveals that a certain small fragment of the chemtainer calculus is already Turing complete, the main goal of our ongoing research is to exploit the fact that we can translate arbitrary controlflow into real chemical systems. We outline the basis of how to automatically derive a physical setup from a procedural description of chemical reaction cascades. We are currently extending our system in order to include basic chemical reactions that shall be guided by the controlflow in the future. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19855 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Applied Mathematics and Physics (IAMP) |
| Published as part of the ZHAW project: | ACDC – Artificial Cells with Distributed Cores to Decipher Protein Function |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020_Flumini-etal_Towards-programmable-chemistries_WIVACE.pdf | Accepted Version | 137.96 kB | Adobe PDF |  View/Open |
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Flumini, D., Weyland, M. S., Schneider, J. J., Fellermann, H., & Füchslin, R. M. (2020). Towards programmable chemistries [Conference paper]. In F. Cicirelli, A. Guerrieri, C. Pizzuti, A. Socievole, G. Spezzano, & A. Vinci (Eds.), Artificial Life and Evolutionary Computation. Springer. https://doi.org/10.1007/978-3-030-45016-8_15
Flumini, D. et al. (2020) ‘Towards programmable chemistries’, in F. Cicirelli et al. (eds) Artificial Life and Evolutionary Computation. Springer. Available at: https://doi.org/10.1007/978-3-030-45016-8_15.
D. Flumini, M. S. Weyland, J. J. Schneider, H. Fellermann, and R. M. Füchslin, “Towards programmable chemistries,” in Artificial Life and Evolutionary Computation, 2020. doi: 10.1007/978-3-030-45016-8_15.
FLUMINI, Dandolo, Mathias S. WEYLAND, Johannes J. SCHNEIDER, Harold FELLERMANN und Rudolf M. FÜCHSLIN, 2020. Towards programmable chemistries. In: Franco CICIRELLI, Antonio GUERRIERI, Clara PIZZUTI, Annalisa SOCIEVOLE, Giandomenico SPEZZANO und Andrea VINCI (Hrsg.), Artificial Life and Evolutionary Computation. Conference paper. Springer. 2020. ISBN 978-3-030-45015-1
Flumini, Dandolo, Mathias S. Weyland, Johannes J. Schneider, Harold Fellermann, and Rudolf M. Füchslin. 2020. “Towards Programmable Chemistries.” Conference paper. In Artificial Life and Evolutionary Computation, edited by Franco Cicirelli, Antonio Guerrieri, Clara Pizzuti, Annalisa Socievole, Giandomenico Spezzano, and Andrea Vinci. Springer. https://doi.org/10.1007/978-3-030-45016-8_15.
Flumini, Dandolo, et al. “Towards Programmable Chemistries.” Artificial Life and Evolutionary Computation, edited by Franco Cicirelli et al., Springer, 2020, https://doi.org/10.1007/978-3-030-45016-8_15.
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