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Dive into the research topics where Fernando Cunha Peixoto is active.

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Featured researches published by Fernando Cunha Peixoto.


Theoretical Chemistry Accounts | 2017

Optimal wavelet signal compression as an efficient alternative to investigate molecular dynamics simulations: application to thermal and solvent effects of MRI probes

Mateus A. Gonçalves; Lizandro S. Santos; Diego Martinez Prata; Fernando Cunha Peixoto; Elaine F. F. da Cunha; Teodorico C. Ramalho

Currently, cancer is one of the most serious problems facing humanity, and one of the most widely used and versatile diagnostic techniques is magnetic resonance imaging (MRI), which may require an injection of contrast agents (CAs). CAs are paramagnetic compounds capable of increasing the relaxation rate of water protons, thereby obtaining clearer MRI examination images. In this work, the solvent and thermal effects on spectroscopic parameters of [Fe(H2O)6]2+, [Mn(H2O)6]2+, [Gd(H2O)8]3+, and γ-Fe2O3, coordinated to explicit water molecules, were studied in light of the classical and quantum methods. For the classical part of the simulation, a new method of selection of configurations from the molecular dynamics simulations, denominated optimal wavelet signal compression algorithm (OWSCA), is presented. Our findings indicate that OWSCA leads to a good agreement with the experimental available data and the thermal effects greatly influence our system. Thus, the molecular dynamics calculations are important for this type of system. Our results show the γ-Fe2O3 as a promising alternative to conventional contrast agents.


Applied Soft Computing | 2017

A study of equivalent electrical circuit fitting to electrochemical impedance using a stochastic method

Marco André Abud Kappel; Fernando Cunha Peixoto; Gustavo Mendes Platt; Roberto Pinheiro Domingos; Ivan Napoleão Bastos

Display Omitted A mathematical development regarding the minimization of residual least squares is presented.A statistically valid objective function of the complex nonlinear regression problem is obtained.A global search stochastic optimization algorithm is used on an electrochemical impedance system modelling problem.The population based stochastic method was used directly to obtain confidence regions to the estimated parameters.A Sensitivity Analysis was performedto assess the influence of each parameter onreal and imaginary parts of the model. Modeling electrochemical impedance spectroscopy is usually done using equivalent electrical circuits. These circuits have parameters that need to be estimated properly in order to make possible the simulation of impedance data. Despite the fitting procedure is an optimization problem solved recurrently in the literature, rarely statistical significance of the estimated parameters is evaluated. In this work, the optimization process for the equivalent electrical circuit fitting to the impedance data is detailed. First, a mathematical development regarding the minimization of residual least squares is presented in order to obtain a statistically valid objective function of the complex nonlinear regression problem. Then, the optimization method used in this work is presented, the Differential Evolution, a global search stochastic method. Furthermore, it is shown how a population-based stochastic method like this can be used directly to obtain confidence regions to the estimated parameters. A sensitivity analysis was also conducted. Finally, the equivalent circuit fitting is done to model synthetic experimental data, in order to demonstrate the adopted procedure.


International Journal of Chemical Reactor Engineering | 2012

Kinetics of Nitrate Hydrogenation in Water on Alumina and Niobia Supported Palladium-Copper Catalysts

Joyce B. Salazar; Luciana Souza Ferreira; Fernando Cunha Peixoto; Mônica P. Maia; Fabio B. Passos

Abstract The kinetics of nitrate hydrogenation in water over niobia- and alumina-supported Pd-Cu catalysts were examined. A Langmuir-Hinshelwood kinetic model fitted concentration data, providing consistent kinetic and thermodynamic parameters. The kinetic model assumed a bimolecular surface reaction as the rate-determining step, with two types of sites. Pd-Cu/gamma-Al2O3 was active and selective under the reaction conditions. However, Pd-Cu/Nb2O5 deactivated during time on stream, and a deactivation function was added to the kinetic model to best fit the experimental data.


Engevista | 2013

MODELAGEM MICROCINÉTICA DO SISTEMA DE HIDROGENAÇÃO CATALÍTICA DE NITRATO EMPREGANDO CATALISADOR Pd-Sn/Al2O3

Elém Patrícia Alves Rocha; Fernando Cunha Peixoto; Fabio B. Passos

O excesso de nitrato na agua favorece inumeros problemas em termos ambientais, de saude animal e dos seres humanos. Em criancas altas concentracoes de N-Nitrato podem produzir intoxicacao e, em casos extremos, ate leva-la a morte por metemoglobinemia. A reducao catalitica de nitrato pode ser aplicada na remediacao das aguas contaminadas por nitrato. Uma modelagem completa do sistema de hidrogenacao de nitrato e producao de N 2 e NH 4 + em catalisador Pd-Sn/ γ-Al 2 O 3 , efetuado com controle de pH, foi desenvolvido c onsiderando as reacoes sobre a superficie do catalisador, os efeitos de transferencia de massa gas-liquido e liquido-solido e as relacoes de equilibrio na fase liquida. O modelo fenomenologico desenvolvido e constituido por um sistema de equacoes diferenciais, que traduz o balanco de massa dos reagentes e produtos no reator. Codificado em Scilab 5.3.3, o modelo foi usado para simular a evolucao de variaveis de estado do problema e mostrou estar em concordância com resultados experimentais.


Journal of Power Sources | 2008

Simulation of a thermal battery using Phoenics

Giancarlo C.S. Freitas; Fernando Cunha Peixoto; Ardson S. Vianna


Journal of Theoretical and Computational Chemistry | 2008

COMPUTATIONAL NMR INVESTIGATION OF RADIOSENSITIZER IN SOLUTION

Teodorico C. Ramalho; Elaine F. F. da Cunha; Fernando Cunha Peixoto; José Daniel Figueroa-Villar


Chemical Physics Letters | 2014

Dynamics, NMR parameters and hyperfine coupling constants of the Fe3O4(1 0 0)–water interface: Implications for MRI probes

Mateus A. Gonçalves; Fernando Cunha Peixoto; Elaine F. F. da Cunha; Teodorico C. Ramalho


Computational and Theoretical Chemistry | 2015

Probing thermal and solvent effects on hyperfine interactions and spin relaxation rate of δ-FeOOH(1 0 0) and [MnH3buea(OH)]2−: Toward new MRI probes

Mateus A. Gonçalves; Elaine F. F. da Cunha; Fernando Cunha Peixoto; Teodorico C. Ramalho


Applied Catalysis A-general | 2012

Microkinetic modeling of the hydrogenation of nitrate in water on Pd–Sn/Al2O3 catalyst

Adagneves O. Costa; Luciana Souza Ferreira; Fabio B. Passos; Mônica P. Maia; Fernando Cunha Peixoto


Industrial & Engineering Chemistry Research | 2014

Modeling of Hydrogenation of Nitrate in Water on Pd–Sn/Al2O3 Catalyst: Estimation of Microkinetic Parameters and Transport Phenomena Properties

Elém Patrícia Alves Rocha; Fabio B. Passos; Fernando Cunha Peixoto

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Diego Martinez Prata

Federal Fluminense University

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Elaine F. F. da Cunha

Universidade Federal de Lavras

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Teodorico C. Ramalho

Universidade Federal de Lavras

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Fabio B. Passos

Federal Fluminense University

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Mateus A. Gonçalves

Universidade Federal de Lavras

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Lizandro S. Santos

Federal Fluminense University

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Diego Queiroz Faria de Menezes

Federal University of Rio de Janeiro

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