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
171 citations on Google Scholar · Paper detailsPublications
Publications with at least one citation on Google Scholar. Updated Oct 29, 2026.
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
128 citations on Google Scholar · Paper detailsKinetics-informed neural networks
GS Gusmão, AP Retnanto, SC Da Cunha, AJ Medford
Catalysis Today 417, 113701 · 2023
74 citations on Google Scholar · Paper detailsMaximum-likelihood estimators in physics-informed neural networks for high-dimensional inverse problems
GS Gusmão, AJ Medford
Computers & Chemical Engineering 181, 108547 · 2024
27 citations on Google Scholar · Paper detailsA general and robust approach for defining and solving microkinetic catalytic systems
GS Gusmão, P Christopher
AIChE Journal 61 (1), 188-199 · 2015
24 citations on Google Scholar · Paper detailsRole 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
23 citations on Google ScholarProcess 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
20 citations on Google ScholarUnifying thermochemistry concepts in computational heterogeneous catalysis
B Kreitz, GS Gusmão, D Nai, SJ Sahoo, AA Peterson, DH Bross, ...
Chemical Society Reviews 54 (2), 560-589 · 2025
15 citations on Google ScholarModeling 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
12 citations on Google ScholarMicro-kinetic modeling of temporal analysis of products data using kinetics-informed neural networks
D Nai, GS Gusmão, ZA Kilwein, F Boukouvala, AJ Medford
Digital Discovery 3 (11), 2327-2340 · 2024
8 citations on Google ScholarModel-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 63 (11), 4756 · 2024
8 citations on Google ScholarTraining stiff dynamic process models via neural differential equations
W Bradley, GS Gusmão, AJ Medford, F Boukouvala
Computer Aided Chemical Engineering 49, 1741-1746 · 2022
7 citations on Google ScholarQuantifying 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
6 citations on Google ScholarReactive capture and conversion of carbon dioxide to methanol with ZnZrO2 and alkali-promoted Mg3AlOx mixed oxide catalytic sorbents
L Proaño, K Galefete, G Rim, G Gusmão, CW Jones
ACS Sustainable Chemistry & Engineering 13 (12), 4811 · 2025
6 citations on Google ScholarFitting micro-kinetic models to transient kinetics of temporal analysis of product reactors using kinetics-informed neural networks
D Nai, GS GusmÃĢo, ZA Kilwein, F Boukouvala, AJ Medford
arXiv preprint arXiv:2406.13904 · 2024
1 citations on Google ScholarOnline 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
1 citations on Google Scholar