Although autocatalytic networks are common in nature, it is very difficultto reproduce them in laboratory. Since there are several models in literaturedescribing a phase transition to an autocatalytic set once that a certain degree ofheterogeneity in the composition of the system is reached, it is interesting to understandwhy it is so difficult to observe such a phenomenon in the laboratory. Forthis reason, we here present a model designed for the study of that systems takinginto account the stochastic nature of the dynamics of interacting molecules. In particular,the analysis is focused on the emergence of autocatalytic sets in accordancewith different residence times and influx compositions
The influence of the residence time on the dynamics of catalytic reaction networks / Filisetti, A.; Serra, Roberto; Villani, Marco; Graudenzi, A.; Fuechslin, R.; Poli, I.. - STAMPA. - 226:(2011), pp. 243-251. (Intervento presentato al convegno 20th Italian Workshop on Neural Nets of the Italian-Neural-Network-Society (SIREN) tenutosi a Vietri sul Mare, ITALY nel 2010) [10.3233/978-1-60750-692-8-243].
The influence of the residence time on the dynamics of catalytic reaction networks
SERRA, Roberto;VILLANI, Marco;
2011
Abstract
Although autocatalytic networks are common in nature, it is very difficultto reproduce them in laboratory. Since there are several models in literaturedescribing a phase transition to an autocatalytic set once that a certain degree ofheterogeneity in the composition of the system is reached, it is interesting to understandwhy it is so difficult to observe such a phenomenon in the laboratory. Forthis reason, we here present a model designed for the study of that systems takinginto account the stochastic nature of the dynamics of interacting molecules. In particular,the analysis is focused on the emergence of autocatalytic sets in accordancewith different residence times and influx compositionsFile | Dimensione | Formato | |
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