LAQV REQUIMTE

(Chemical) Bonding is what makes life possible

Natália Cordeiro

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220402502
Webpages
Lab webpage

Research group
High Performance Computing in Molecular Modelling

Position
Academic Staff

Researcher IDA-7413-2012
Ciência IDF615-6969-9072
Natália Cordeiro studied Chemistry followed by a PhD in Theoretical Chemistry at the University of Porto, also carrying out theoretical research in both Barcelona and Pisa. In 2003, she became an Associate Professor at the Faculty of Sciences of University of Porto, and heads now the “Cheminformatics and Materials” research group at LAQV. She is the author of 300+ SCI works and 25+ book chapters. She has been also performing extensive evaluation work for several research national and foreign entities.
Areas of expertise: Theoretical and Computational Chemistry; Quantum Mechanics Calculations; Molecular Modelling and Simulations; Machine Learning Tools; Catalysis; Materials Science; Nanotechnology; Materials & Drug Design; (Eco)Toxicity.

Representative Publications

Molecular Dynamics Simulations of Poly(ethylene oxide) Grafted onto Silica Immersed in Melt of Homopolymers
10.1021/acs.langmuir.5b01890
Structure of Mixed Self-Assembled Monolayers on Gold Nanoparticles at Three Different Arrangements
10.1021/jp512144g
Predicting multiple ecotoxicological profiles in agrochemical fungicides: A multi-species chemoinformatic approach
10.1016/j.ecoenv.2012.03.018
Probing the toxicity of nanoparticles: a unified in silico machine learning model based on perturbation theory
10.1080/17435390.2017.1379567
A Critical Assessment of Methods for the Intrinsic Analysis of Liquid Interfaces. 1. Surface Site Distributions
10.1021/jp101035r
Salt separation from water using graphene oxide nanochannels: A molecular dynamics simulation study
10.1016/j.desal.2019.02.014
Improving Vibrational Mode Interpretation Using Bayesian Regression
10.1021/acs.jctc.8b00439
QSAR-Co: An Open Source Software for Developing Robust Multitasking or Multitarget Classification-Based QSAR Models
10.1021/acs.jcim.9b00295
Computational modeling on mitochondrial channel nanotoxicity
10.1016/j.nantod.2020.100913
Probing the efficiency of platinum nanotubes for the H-2 production by water gas shift reaction: A DFT study
10.1016/j.apcatb.2019.118301
Probing the Environmental Toxicity of Deep Eutectic Solvents and Their Components: An In Silico Modeling Approach
10.1021/acssuschemeng.9b01306