Gabriel S. Gusmão

Gabriel S. Gusmão
Georgia Institute of Technology | GT · School of Chemical & Biomolecular Engineering

BEng. Chemical Engineering

About

13
Publications
5,015
Reads
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113
Citations
Additional affiliations
May 2022 - August 2022
IBM Research
Position
  • Graduate Research Intern
August 2018 - present
Georgia Institute of Technology
Position
  • Research Assistant
August 2013 - August 2018
Braskem
Position
  • Engineer
Education
August 2018 - August 2023
Georgia Institute of Technology
Field of study
  • Chemical Engineering
January 2012 - December 2012
University of California, Riverside
Field of study
  • Engineering (Visiting Student)
February 2008 - July 2013
University of Campinas
Field of study
  • Engineering

Publications

Publications (13)
Article
The temporal analysis of products (TAP) reactor provides a route to extract intrinsic kinetics from transient measurements. Current TAP uncertainty quantification only considers the experimental noise present in the outlet flow signal. Additional sources of uncertainty such as initial surface coverages, catalyst zone location, inert void fraction,...
Article
Chemical kinetics and reaction engineering consists of the phenomenological framework for the disentanglement of reaction mechanisms, optimization of reaction performance and the rational design of chemical processes. Here, we utilize feed-forward artificial neural networks as basis functions to solve ordinary differential equations (ODEs) constrai...
Preprint
The temporal analysis of products (TAP) reactor provides a route to extract intrinsic kinetics from transient measurements. Current TAP uncertainty quantification only considers the experimental noise present in the outlet flow signal. Additional sources of uncertainty such as initial surface coverages, catalyst zone location, inert void fraction,...
Article
Aromatics, including benzene, toluene, and xylenes (BTX), are essential chemical building blocks and are widely used as solvents, fuel additives, and polymers. With the recent development in CO2 capture technologies and the progress made in producing H2 using renewable energy, direct hydrogenation of CO2 to aromatics via heterogeneous catalysis has...
Preprint
Full-text available
Chemical kinetics consists of the phenomenological framework for the disentanglement of reaction mechanisms, optimization of reaction performance and the rational design of chemical processes. Here, we utilize feed-forward artificial neural networks as basis functions for the construction of surrogate models to solve ordinary differential equations...
Article
Catalytic ethanol dehydration route is a reality for the production of polyethylene from renewable sources. Ethanol dehydration process is carried out in the presence of acid catalysts, under temperatures ranging from 500 to 800K, obtaining ethylene selectivity ranging from 95 to 99% and ethanol conversion greater than 98\%. Despite the favorable v...
Article
Catalytic dehydration of ethanol is the key step in the production of polyethylene from renewable raw materials. Obtaining a mathematical model to optimize the ethanol-to-ethylene reactor setup is of great interest to the industry, allowing the optimal design of larger plants and improvements to existing plants. This work presents a phenomenologica...
Article
The mechanism of CO2 reduction by H2 at atmospheric pressure was investigated on Ru(0 0 0 1) by coupling density functional theory (DFT) calculations with mean-field microkinetic modeling. The initial CO2 hydrogenation step leading to CH4 production was shown to occur through CO2 dissociation and subsequent hydrogenation of CO∗ to CHO∗. The dissoci...
Article
Recent approaches for the rational design of heterogeneous catalysts have relied on first-principles based microkinetic modeling to efficiently screen large phase spaces of catalytic materials for optimal activity and selectivity. Microkinetic modeling allows the calculation of catalytic rate and selectivity under a given set of conditions without...
Data
This version is outdated -> Please, refer to the Python Package mkin4py PyPI -> https://pypi.python.org/pypi/mkin4py/1.0 GitHub -> https://github.com/gusmaogabriels/mkin4py GG_MKLin_V1b Fixed Critical issue: Reaction Constant vector dynamic sizing Fixed Minor Issue: Maximum number of potential poisoning adsorbates fixed as lesser than half of th...
Data
Few errors have been corrected in the code. Most up-to-date code i can be found in https://www.researchgate.net/publication/268630782_GG_MKLin_V1b.m_-_Linearized_Microkinetic_Catalytic_System_Solver_-_MATLAB_CODE?ev=prf_pub
Conference Paper
We show that bimetallic architectures consisting of constituents with plasmonic and catalytic functionalities represent a novel class of versatile photocatalytic materials for executing chemical reactions at low temperature. We also show that addition of an external thermal stimulus to the artificial photosynthesis process significantly enhances ph...

Questions

Question (1)
Question
In the 2T model for electron and nucleus temperature, the electronic density responds to thermal energy expanding as if it were a gas. As regards plasmonic effects, when diffuse light is shed upon a metal crystal and elastically reemitted, should not there be a decrease in entropy, conceptually speaking?
Looking at the system boundaries, there is diffuse (disorganized) light being absorbed and concentrated light being reemitted, with an increase in energy density. Who is paying for organizing the system?

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