Andrea Reveco
Machine learning, análisis de datos, metodologías analíticas (HPLC, GC, espectrofotometria), moderación molecular, fluidos supercriticos
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Ciencias de la Ingeniería, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2008
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Ingeniero Civil Químico, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2011
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Ingeniería Química y Bioprocesos, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2017
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Ingeniería Química y Bioprocesos, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2017
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Asistente de Investigación Full Time
UNIVERSIDAD TECNICA FEDERICO SANTA MARIA
Chile
2010 - 2014
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Graduate Research Assistant Other
UNIVERSITY OF NOTRE DAME
Estados Unidos
2014 - 2014
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Asistente de Investigación Other
Universidad Técnica Federico Santa María
Chile
2010 - 2014
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Beca Doctorado Nacional CONICYT
CONSEJO NACIONAL DE CIENCIA Y TECNOLOGIA
Chile, 2014
Thesis: Relationship between chemical structure of solutes and their solubilities in supercritical CO2 using molecular simulation
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Pontificia Universidad Católica- University of Notre Dame
PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE
Chile, 2013
The binary system of menadione in explicit supercritical carbon dioxide (SC-CO2) was studied using molecular dynamics (MD) simulations, with the objective to understand the nature of interactions between menadione and SC-CO2 at different temperatures and pressures in order to complement experimental solubility measurements. A force field was developed for menadione and tested by comparing computed and experimental monoclinic crystal structures at 283 K and 0.01 MPa. Lattice parameters obtained from anisotropic isothermal-isobaric MD simulations agreed reasonably well with experimental values, with an average absolute relative deviation (AARD%) less than 7%. A previously validated force field for SC-CO2 was used, and simple mixing rules were used to describe cross interactions. Canonical ensemble MD simulations were used to estimate the association number for CO2 about menadione and the enthalpy required to form a SC-CO2 solvate complex with menadione as a function of temperature and CO2 density. Spatial distribution functions were computed to better understand the nature of the molecular-level interactions between menadione and SC-CO2 as well as between associating menadione molecules.