2016
DOI: 10.1017/s1743921316012643
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Mol-D a Database and a Web Service within the Serbian Virtual Observatory and the Virtual Atomic and Molecular Data Centre

Abstract: Abstract. In this contribution we report the current stage of the MOLecular Dissociation (MOL-D) database which is a web service within the Serbian virtual observatory (SerVO) and node within Virtual Atomic and Molecular Data Center (VAMDC). MOL-D is an atomic and molecular (A&M) database devoted to the modelling of stellar atmospheres, laboratory plasmas, industrial plasmas etc. The initial stage of development was done at the end of 2014, when the service for data connected with hydrogen and helium molecular… Show more

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Cited by 4 publications
(3 citation statements)
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“…State-to-state kinetic and radiative transfer models urge to have available reliable rate coefficients in order to proceed in the description of the kinetics of level populations. These input data are needed to be provided in suitable and, wherever possible, extended temperature regimes, to allow for the description of different astrophysical environments where thermal conditions might be drastically different. …”
Section: Discussionmentioning
confidence: 99%
“…State-to-state kinetic and radiative transfer models urge to have available reliable rate coefficients in order to proceed in the description of the kinetics of level populations. These input data are needed to be provided in suitable and, wherever possible, extended temperature regimes, to allow for the description of different astrophysical environments where thermal conditions might be drastically different. …”
Section: Discussionmentioning
confidence: 99%
“…We prepared data in Virtual Observatory (VO) ( ) compatible format [ 36 , 37 , 38 ] which enable further implementation of results in the A & M databases like [ 27 , 39 ] thus providing a single location where users can access atomic and molecular data. Also, in order to prepare the easier use of data in practice, we found and give for the rate coefficients a simple and accurate fitting formula as a second-degree polynomial fit to numerical results.…”
Section: Results and Discussionmentioning
confidence: 99%
“…in laboratory plasmas and in planetary atmospheres (Marinković et al, 2017b,a;Srećković et al, 2017a). In order to provide a repository of such large amounts of data, the creation of a Virtual Observatory and Virtual Data Centre has been crucial (Dubernet et al, 2010Jevremović et al, 2009;Srećković et al, 2017b).…”
Section: Introductionmentioning
confidence: 99%