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Gabriel S. Gusmão
Gabriel S. Gusmão
Altri nomiGabriel Sabença Gusmão, Gabriel Sabenca Gusmao, Gabriel S. Gusmao
Email verificata su gatech.edu - Home page
Titolo
Citata da
Citata da
Anno
Mechanism of CO2 reduction by H2 on Ru (0 0 0 1) and general selectivity descriptors for late-transition metal catalysts
T Avanesian, GS Gusmão, P Christopher
Journal of catalysis 343, 86-96, 2016
1142016
Direct aromatization of CO2 via combined CO2 hydrogenation and zeolite-based acid catalysis
I Nezam, W Zhou, GS Gusmão, MJ Realff, Y Wang, AJ Medford, ...
Journal of CO2 Utilization 45, 101405, 2021
632021
Kinetics-informed neural networks
GS Gusmão, AP Retnanto, SC Da Cunha, AJ Medford
Catalysis Today 417, 113701, 2023
272023
A general and robust approach for defining and solving microkinetic catalytic systems
GS Gusmão, P Christopher
AIChE Journal 61 (1), 188-199, 2015
182015
Process modeling and simulation of an industrial-scale plant for green ethylene production
JGSS Maia, RB Demuner, AR Secchi, PA Melo, RW Carmo, GS Gusmão
Industrial & Engineering Chemistry Research 57 (18), 6401-6416, 2018
142018
Modeling of Catalyst Deactivation in Bioethanol Dehydration Reactor
RB Demuner, JG Soares Santos Maia, AR Secchi, PA Melo, ...
Industrial & Engineering Chemistry Research 58 (8), 2717-2726, 2019
52019
Role of Catalyst Domain Size in the Hydrogenation of CO2 to Aromatics over ZnZrOx/ZSM-5 Catalysts
I Nezam, W Zhou, DR Shah, MP Bukhovko, MR Ball, GS Gusmão, ...
The Journal of Physical Chemistry C 127 (13), 6356-6370, 2023
42023
Quantifying the impact of temporal analysis of products reactor initial state uncertainties on kinetic parameters
A Yonge, GS Gusmão, R Batchu, MR Kunz, Z Fang, R Fushimi, ...
AIChE Journal 68 (9), e17776, 2022
22022
Training Stiff Dynamic Process Models via Neural Differential Equations
W Bradley, GS Gusmão, AJ Medford, F Boukouvala
Computer Aided Chemical Engineering 49, 1741-1746, 2022
22022
Maximum-likelihood estimators in physics-informed neural networks for high-dimensional inverse problems
GS Gusmão, AJ Medford
Computers & Chemical Engineering 181, 108547, 2024
12024
Model-Based Design of Experiments for Temporal Analysis of Products (TAP): A Simulated Case Study in Oxidative Propane Dehydrogenation
A Yonge, GS Gusmão, R Fushimi, AJ Medford
Industrial & Engineering Chemistry Research, 2024
2024
Using Neural Networks to Interpret Transient Kinetic Data
A Medford, G S. Gusmão, D Nai
2023 AIChE Annual Meeting, 2023
2023
Dimensionality Reduction of Chemical Kinetics Based on Extent-of-Reaction in a Physics-Inspired Machine Learning Framework
G Gusmão, A Medford
2022 AIChE Annual Meeting, 2022
2022
Online Graduate Certificate in Data Science for the Chemical Industry
AJ Medford, F Boukouvala, MA Grover, D Sholl, C Meredith, P Cheng, ...
Chemical Engineering Education 56 (4), 2022
2022
Physics-Informed Neural Networks for Kinetic Parameter Estimation and Uncertainty Quantification
G Gusmão, A Retnanto, S da Cunha, MR Kunz, A Medford
2021 AIChE Annual Meeting, 2021
2021
Multifunctional catalysts for solar-driven fuel production and chemical conversion
P Christopher, M Kale, J Matsubu, G Gusmao
North American Catalysis Society Meeting, 2013
2013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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