Periodic Reporting for period 2 - CORENET (Complex chemical reaction networks for breakthrough scalable reservoir computing)
Berichtszeitraum: 2023-04-01 bis 2024-09-30
CORENET aims at construct chemical systems that can perform high-level computation based on chemical reactions. The project will implement reservoir computing based on the compartmentalisation of reaction networks with increasing complexity in microfluidic flow reactors.
The main advantage of CRNs for computing is that they are able to generate vast compositional chemical spaces, allowing them to process information and regulate their responses in a ‘metabolic’ way. The project will bring new knowledge bridging system chemistry, microfluidics technology and computational science and may revolutionize patient treatment via in situ synthesis of drug molecules.
Looking at the formose CRN, precise data, analysis and important new concepts in reaction pathway self-organization are of high relevance to the prebiotic chemistry community. The framework developed using the formose reaction as a model can be transferred to other CRNs, allowing the rationalisation of complex reaction outcomes and the inspiration of detailed hypotheses for origin of life scenarios that consider the dynamic and out-of-equilibrium properties of the prebiotic environment. With an established reservoir computing capacity of the formose CRN network, we can now demonstrate a range of complex non-linear classifications. The fabrication of integrated Si-based CSTRs has scientific impact as it allows for further integration and robust and reproducible data collection. The fabrication methods include possible patentable inventions with respect to embedding electrodes and heating elements.