LAQV REQUIMTE

(Chemical) Bonding is what makes life possible

Gonçalo Valente da Silva Mariño Carrera

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Research group
Bio(chemical) Process Engineering

Position
Researcher

Researcher IDC-7536-2013.
Ciência ID1C12-B386-75BD
My reasearch activity comprises: Application of artificial intelligence applied to predict and explain the reasons behind physico-chemical properties and phase behaviour. The systems of interest involve CO2 and ionic liquids.
The bibliometric profile compreends 26 peer-review articles, 1 patent, 3 discussion articles and 5 conference proceedings.
Google Scholar 631 citations and h-index 16. Additionally I participated/have been involved in 16 oral communications. I collaborate in three book chapters and have been awarded with 5000 euros in 2014 with a classification of 19/20 (REQUIMTE mini-project). Additionally, we have been awarded in 2018 with 228641.57 euros for a FCT/MCTES project with merit 4.37/5.

Representative Publications

Tetramethylguanidine-based gels and colloids of cellulose
10.1016/j.carbpol.2017.03.084
CO2 capture systems based on saccharides and organic superbases
10.1039/c5fd00044k
Synthesis and properties of new functionalized guanidinium based ionic liquids as non-toxic versatile organic materials
10.1016/j.tet.2010.08.040
Interfacial Properties, Densities, and Contact Angles of Task Specific Ionic Liquids
10.1021/je900502s
Reversible systems based on CO2, amino-acids and organic superbases
10.1039/c5ra03474d
Machine learning of chemical reactivity from databases of organic reactions
10.1007/s10822-009-9275-2
Exploration of quantitative structure-property relationships (QSPR) for the design of new guanidinium ionic liquids
10.1016/j.tet.2007.12.021
Estimation of melting points of pyridinium bromide ionic liquids with decision trees and neural networks
10.1039/b408967g
CO2 + Methanol + Glycerol: Multiphase behaviour
10.1016/j.supflu.2017.12.032
Bio-Inspired Systems for Carbon Dioxide Capture, Sequestration and Utilization
10.5772/65861
Chemoinformatic Approaches To Predict the Viscosities of Ionic Liquids and Ionic Liquid-Containing Systems
10.1002/cphc.201900593
Cover Feature: Chemoinformatic Approaches To Predict the Viscosities of Ionic Liquids and Ionic Liquid‐Containing Systems (ChemPhysChem 21/2019)
10.1002/cphc.201900978
The Solubility of Gases in Ionic Liquids: A Chemoinformatic Predictive and Interpretable Approach
10.1002/cphc.202100632