Gabriel S. Gusmão

About Gabriel S. Gusmão

Gabriel S. Gusmão, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Process modeling & optimization, Chemical kinetics, Scientific ML, Data analysis, Algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

Model-Based Design of Experiments for Temporal Analysis of Products (TAP): A Simulated Case Study in Oxidative Propane Dehydrogenation

Maximum-likelihood estimators in physics-informed neural networks for high-dimensional inverse problems

Kinetics-informed neural networks

Role of Catalyst Domain Size in the Hydrogenation of CO2 to Aromatics over ZnZrOx/ZSM-5 Catalysts

Online Graduate Certificate in Data Science for the Chemical Industry

Training Stiff Dynamic Process Models via Neural Differential Equations

Quantifying the impact of temporal analysis of products reactor initial state uncertainties on kinetic parameters

Direct aromatization of CO2 via combined CO2 hydrogenation and zeolite-based acid catalysis

Gabriel S. Gusmão Information

University

Position

___

Citations(all)

231

Citations(since 2020)

200

Cited By

85

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Gabriel S. Gusmão Skills & Research Interests

Process modeling & optimization

Chemical kinetics

Scientific ML

Data analysis

Algorithms

Top articles of Gabriel S. Gusmão

Title

Journal

Author(s)

Publication Date

Model-Based Design of Experiments for Temporal Analysis of Products (TAP): A Simulated Case Study in Oxidative Propane Dehydrogenation

Industrial & Engineering Chemistry Research

Adam Yonge

Gabriel S Gusmão

Rebecca Fushimi

Andrew J Medford

2024/3/11

Maximum-likelihood estimators in physics-informed neural networks for high-dimensional inverse problems

Computers & Chemical Engineering

Gabriel S Gusmão

Andrew J Medford

2024/2/1

Kinetics-informed neural networks

Catalysis Today

Gabriel S Gusmão

Adhika P Retnanto

Shashwati C Da Cunha

Andrew J Medford

2023/5/1

Role of Catalyst Domain Size in the Hydrogenation of CO2 to Aromatics over ZnZrOx/ZSM-5 Catalysts

The Journal of Physical Chemistry C

Iman Nezam

Wei Zhou

Dhrumil R Shah

Maxim P Bukhovko

Madelyn R Ball

...

2023/3/26

Online Graduate Certificate in Data Science for the Chemical Industry

Chemical Engineering Education

Andrew Medford

Fani Boukouvala

Martha Grover

David Sholl

Carson Meredith

...

2021

Training Stiff Dynamic Process Models via Neural Differential Equations

William Bradley

Gabriel S Gusmão

Andrew J Medford

Fani Boukouvala

2022/1/1

Quantifying the impact of temporal analysis of products reactor initial state uncertainties on kinetic parameters

AIChE Journal

Adam Yonge

Gabriel S Gusmão

Rakesh Batchu

M Ross Kunz

Zongtang Fang

...

2022/9

Direct aromatization of CO2 via combined CO2 hydrogenation and zeolite-based acid catalysis

Iman Nezam

Wei Zhou

Gabriel S Gusmão

Matthew J Realff

Ye Wang

...

2021/3/1

See List of Professors in Gabriel S. Gusmão University(Georgia Institute of Technology)

Co-Authors

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