The emergence of interstellar molecular complexity explained by interacting networks
Miguel Garcia-Sanchez (1, 2, 3), Izaskun Jimenez-Serra (1),, Fernando Puente-Sanchez (4), and Jacobo Aguirre (1, 3) ((1) Centro de, Astrobiologia (CSIC/INTA), Ctra. de Torrejon a Ajalvir km 4, E-28806,, Torrejon de Ardoz, Spain, (2) Instituto de Investigacion Tecnologica (IIT),

TL;DR
This paper introduces a theoretical framework using network science to model the emergence of chemical complexity in interstellar space, revealing universal patterns in prebiotic chemistry evolution.
Contribution
It presents a novel computational approach to simulate the evolution of chemical networks, linking network properties to molecular abundances in space.
Findings
Emergence of complexity at a critical environmental parameter.
Relationship between molecule abundances and reaction potential.
Universal patterns in chemical evolution from space to prebiotic chemistry.
Abstract
Recent years have witnessed the detection of an increasing number of complex organic molecules in interstellar space, some of them being of prebiotic interest. Disentangling the origin of interstellar prebiotic chemistry and its connection to biochemistry and ultimately to biology is an enormously challenging scientific goal where the application of complexity theory and network science has not been fully exploited. Encouraged by this idea, we present a theoretical and computational framework to model the evolution of simple networked structures toward complexity. In our environment, complex networks represent simplified chemical compounds, and interact optimizing the dynamical importance of their nodes. We describe the emergence of a transition from simple networks toward complexity when the parameter representing the environment reaches a critical value. Notably, although our system…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
