III. Ecosmos: A Revolutionary Fertile, Habitable, Solar-Bioplanet Incubator Lifescape

3. Supramolecular Systems Chemistry

Wozniak, Michal, et al. Linguistic Measures of Chemical Diversity and the “Keywords” of Molecular Collections. Nature Scientific Reports. 8/7598, 2018. In accord with other scientific fields, Polish Academy of Sciences linguists and chemists including Bartosz Grzybowski (search) perceive an innate commonality between 21st century supramolecular chemistry and written, textual compositions. Through a far-ranging affinity, molecules and letters/words can take on similar identities - to wit parsing a sentence becomes akin to analyzing a reaction. The comparison is also availed for better ways to search vast volumes of chemical literature. As our Genomes and Languages reports, as disparate domains find common ground in these later 2010s via literate cross-translations, they may altogether quantify and express a truly poetic natural essence.

In accord with other scientific fields, Polish Academy of Sciences linguists and chemists including Bartosz Grzybowski (search) perceive an innate commonality between 21st century supramolecular chemistry and written, textual compositions. Through a far-ranging affinity, molecules and letters/words can take on similar identities - to wit parsing a sentence becomes akin to analyzing a reaction. The comparison is also availed for better ways to search vast volumes of chemical literature. As our Genomes and Languages reports, as disparate domains find common ground in these later 2010s via literate cross-translations, they may altogether quantify and express a truly poetic natural essence.

Zaikowski, Lori and Friedrich, Jon, eds. Chemical Evolution across Space & Time: From the Big Bang to Prebiotic Chemistry. Washington, DC: American Chemical Society, 2007. By a shift in perspective, rather than an alien cosmos, an inherent, natural propensity for life and limb can be readily discerned. Along with Robert Hazen and Stuart Kauffman, scientists and educators course from astrobiology to geochemistry, biological precursors, and how to infuse students with this nascent sense that “the universe is alive and kicking.”

The history of the universe has been one of inexorable, inevitable chemical complexification – a sequence of emergent evolutionary episodes from nucleosynthesis, to planet formation, to life. (3, Hazen) Emergent systems occur when energy flows through an assemblage of interacting particles, such as molecules, sand grains, cells or stars. Each individual object, or “agent” in the jargon of emergence, responds only to its environment, yet the behavior of the collective whole is distinct from that of any individual agent. (3, Hazen)

Zenil, Hector, et al. Algorithmic Complexity and Reprogrammability of Chemical Structure Networks. arXiv:1802.05856. We cite this posting by Karolinska Institute, Center for Molecular Medicine, Algorithmic Dynamics Lab researchers as another frontier integration of chemistry and computation. Akin to supramolecular systems herein, into the 21st century, this ancient, original study of nature’s reactive materiality is lately recognizing, as are other fields, an inherent, pervasive presence of the universal network geometries.

Zhu, Liang, et al. Multilayer Network Analysis of Nuclear Reactions. Nature Scientific Reports. 6/31882, 2016. Chinese Academy of Sciences and East China Normal University information physicists achieve a novel extension of these lively network qualities found everywhere else from cosmic webs to quantum, genomic, neural, ecosystem and social phases to nature’s atomic materiality. The same physiological and cerebral system of nested, dynamic nodes and links is, incredibly, in similar formative place even in this substantial realm.

Besides acquiring exact nuclide abundance by solving sets of time-dependent differential equations in the database, it is challenging to treat the nuclear reaction system as a complex network to explore its statistical characteristics. The basic idea is introduced from graph theory, which considers the interacting units in a system as nodes and the relationship between two units as an edge, thus the system can be studied as a graph (network). The topic of complex networks has achieved significant advances since the ‘small world’ and ‘scale-free’ characteristics were found prevalent in many real world systems such as social connections, the Internet and distributed infrastructures. The structure and dynamics of networks mapped from those systems turn out to be distinct from that of regular or random networks, and complex networks outperform them in modeling real world systems. For example, the ‘scale-free’ structure of the Internet, which is hierarchical with many hubs, explains how easy it is for viruses to propagate. These findings help us to understand the systems at more profound levels and have benefited researches in various areas19, hopefully including nuclear reactions. (1)

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