2015
DOI: 10.1073/pnas.1512486112
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Formamide reaction network in gas phase and solution via a unified theoretical approach: Toward a reconciliation of different prebiotic scenarios

Abstract: Increasing experimental and theoretical evidence points to formamide as a possible hub in the complex network of prebiotic chemical reactions leading from simple precursors like H 2 , H 2 O, N 2 , NH 3 , CO, and CO 2 to key biological molecules like proteins, nucleic acids, and sugars. We present an in-depth computational study of the formation and decomposition reaction channels of formamide by means of ab initio molecular dynamics. To this aim we introduce a new theoretical method combining the metadynamics … Show more

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Cited by 121 publications
(176 citation statements)
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“…the formation barrier increases from 57 kcal/mol at 650 K to 96 kcal/mol at 4500 K. At both temperatures, the barriers are thus comparable with those for the formation of formamide, a situation already observed in aqueous solution (48). Once formed, the collision of HCOOH with ammonia yields formamide and water ( Fig.…”
Section: Resultssupporting
confidence: 68%
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“…the formation barrier increases from 57 kcal/mol at 650 K to 96 kcal/mol at 4500 K. At both temperatures, the barriers are thus comparable with those for the formation of formamide, a situation already observed in aqueous solution (48). Once formed, the collision of HCOOH with ammonia yields formamide and water ( Fig.…”
Section: Resultssupporting
confidence: 68%
“…To help interpret the reactions in the shock wave plasma (4500 K) and electric discharge (650 K) experiments, further ab initio molecular-dynamics simulations combined with enhanced sampling were performed (48). We remark that our simulations proceed without introducing any information about the possible reaction pathway.…”
Section: Resultsmentioning
confidence: 99%
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“…Yet the CVs available to describe phase transitions are specifically designed for a given type of structural transformation [17][18][19], while no general CV scheme has been proven successful for a wide class of problems, in particular those involving amorphous systems. Recently, distance metrics developed for condensed matter [7,20,21,[23][24][25] have been proven to be successful in classifying structures in molecular or extended systems based on their atomic environment and/or interatomic network. Here we show that by combining enhanced sampling techniques with a novel CV based on a general metric we are able to define in an efficient way the topological space of transformations among liquid, amorphous, and crystalline forms of water.…”
mentioning
confidence: 99%
“…However, the CVs suitable to this task are often designed for specific classes of structural transformations (Lechner and Dellago 2008;Martoňák et al 2003;Giberti et al 2015;Haji-Akbari and Debenedetti 2015): no general CV scheme was proved successful for a wide class of different problems, in particular those involving disordered systems. Recently, on the other hand, several distance metrics have been developed with the aim of distinguishing and classifying structures of molecular or extended systems, based on atomic environment and/or interatomic networks (Valle and Oganov 2010;Gallet and Pietrucci 2013;Pietrucci and Martoňák 2015;Pietrucci and Saitta 2015;Zhu et al 2016;De et al 2016;Piaggi and Parrinello 2017;Martelli et al 2018;Barthel et al 2018). In this context, an important question is whether a given metric is able, besides classifying locally stable structures, to also track dynamical transitions in a continuous and accurate way.…”
Section: The Difficult Case Of Water Poly(a)morphism: a Simple Metricmentioning
confidence: 99%