Search Results - "Gusmão, Gabriel S"

  • Showing 1 - 19 results of 19
Refine Results
  1. 1

    Model-Based Design of Experiments for Temporal Analysis of Products (TAP): A Simulated Case Study in Oxidative Propane Dehydrogenation by Yonge, Adam, Gusmão, Gabriel S., Fushimi, Rebecca, Medford, Andrew J.

    “…Temporal analysis of products (TAP) reactors enable experiments that probe numerous kinetic processes within a single set of experimental data through…”
    Get full text
    Journal Article
  2. 2

    Direct aromatization of CO2 via combined CO2 hydrogenation and zeolite-based acid catalysis by Nezam, Iman, Zhou, Wei, Gusmão, Gabriel S., Realff, Matthew J., Wang, Ye, Medford, Andrew J., Jones, Christopher W.

    Published in Journal of CO2 utilization (01-03-2021)
    “…•Two main categories of tandem catalysts for CO2 aromatization are reviewed.•Key parameters that determine the catalytic performance are…”
    Get full text
    Journal Article
  3. 3

    Quantifying the impact of temporal analysis of products reactor initial state uncertainties on kinetic parameters by Yonge, Adam, Gusmão, Gabriel S., Batchu, Rakesh, Kunz, M. Ross, Fang, Zongtang, Fushimi, Rebecca, Medford, Andrew J.

    Published in AIChE journal (01-09-2022)
    “…The temporal analysis of products (TAP) reactor provides a route to extract intrinsic kinetics from transient measurements. Current TAP uncertainty…”
    Get full text
    Journal Article
  4. 4

    Mechanism of CO2 reduction by H2 on Ru(0001) and general selectivity descriptors for late-transition metal catalysts by Avanesian, Talin, Gusmão, Gabriel S., Christopher, Phillip

    Published in Journal of catalysis (01-11-2016)
    “…[Display omitted] •CO2 reduction by H2 on Ru studied with DFT calculations and microkinetic modeling.•CO∗ is common intermediate for competing CH4 and CO…”
    Get full text
    Journal Article
  5. 5

    A general and robust approach for defining and solving microkinetic catalytic systems by Gusmão, Gabriel S., Christopher, Phillip

    Published in AIChE journal (01-01-2015)
    “…Recent approaches for the rational design of heterogeneous catalysts have relied on first‐principles‐based microkinetic modeling to efficiently screen large…”
    Get full text
    Journal Article
  6. 6
  7. 7

    Kinetics-informed neural networks by Gusmão, Gabriel S., Retnanto, Adhika P., Cunha, Shashwati C. da, Medford, Andrew J.

    Published in Catalysis today (01-05-2023)
    “…Chemical kinetics and reaction engineering consists of the phenomenological framework for the disentanglement of reaction mechanisms, optimization of reaction…”
    Get full text
    Journal Article
  8. 8

    Micro-kinetic modeling of temporal analysis of products data using kinetics-informed neural networks by Nai, Dingqi, Gusmão, Gabriel S., Kilwein, Zachary A., Boukouvala, Fani, Medford, Andrew J.

    Published in Digital discovery (07-11-2024)
    “…The temporal analysis of products (TAP) technique produces extensive transient kinetic data sets, but it is challenging to translate the large quantity of raw…”
    Get full text
    Journal Article
  9. 9

    Kinetics-Informed Neural Networks by Gusmão, Gabriel S., Retnanto, Adhika P., Da Cunha, Shashwati C., Medford, Andrew J.

    Published in Catalysis today (08-04-2022)
    “…Chemical kinetics and reaction engineering consists of the phenomenological framework for the disentanglement of reaction mechanisms, optimization of reaction…”
    Get full text
    Journal Article
  10. 10

    Role of Catalyst Domain Size in the Hydrogenation of CO2 to Aromatics over ZnZrO x /ZSM‑5 Catalysts by Nezam, Iman, Zhou, Wei, Shah, Dhrumil R., Bukhovko, Maxim P., Ball, Madelyn R., Gusmão, Gabriel S., Medford, Andrew J., Jones, Christopher W.

    Published in Journal of physical chemistry. C (06-04-2023)
    “…The direct conversion of carbon dioxide into aromatic compounds may provide an environmentally friendly resource for a family of chemical building blocks with…”
    Get full text
    Journal Article
  11. 11

    Role of Catalyst Domain Size in the Hydrogenation of CO 2 to Aromatics over ZnZrO x /ZSM-5 Catalysts by Nezam, Iman, Zhou, Wei, Shah, Dhrumil R., Bukhovko, Maxim P., Ball, Madelyn R., Gusmão, Gabriel S., Medford, Andrew J., Jones, Christopher W.

    Published in Journal of physical chemistry. C (06-04-2023)
    “…The direct conversion of carbon dioxide into aromatic compounds may provide an environmentally friendly resource for a family of chemical building blocks with…”
    Get full text
    Journal Article
  12. 12

    Training Stiff Dynamic Process Models via Neural Differential Equations by Bradley, William, Gusmão, Gabriel S., Medford, Andrew J., Boukouvala, Fani

    “…A common step in developing generalizable, dynamic mechanistic models is to fit unmeasured parameters to measured data. Fitting differential equation-based…”
    Get full text
    Book Chapter
  13. 13

    Direct aromatization of CO2 via combined CO2 hydrogenation and zeolite-based acid catalysis by Nezam, Iman, Zhou, Wei, Gusmão, Gabriel S., Realff, Matthew J., Wang, Ye, Medford, Andrew J., Jones, Christopher W.

    Published in Journal of CO2 utilization (20-01-2021)
    “…Aromatics, including benzene, toluene, and xylenes (BTX), are essential chemical building blocks and are widely used as solvents, fuel additives, and polymers…”
    Get full text
    Journal Article
  14. 14

    Online Graduate Certificate in Data Science for the Chemical Industry by Medford, Andrew J, Boukouvala, Fani, Grover, Martha A, Sholl, David, Meredith, Carson, Cheng, Pengfei, Choi, Sihoon, Gusmão, Gabriel S, Kilwein, Zachary, Ravutla, Suryateja, Wirth, Fatimah, Wooley, Jennifer, Sewer, Zaid

    Published in Chemical engineering education (2022)
    “…The Graduate Certificate in Data Science for the Chemical Industries was designed to provide skills to working professionals, via a fully online and…”
    Get more information
    Journal Article
  15. 15

    Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems by Gusmão, Gabriel S, Medford, Andrew J

    Published 12-04-2023
    “…Physics-informed neural networks (PINNs) have proven a suitable mathematical scaffold for solving inverse ordinary (ODE) and partial differential equations…”
    Get full text
    Journal Article
  16. 16

    Fitting micro-kinetic models to transient kinetics of temporal analysis of product reactors using kinetics-informed neural networks by Nai, Dingqi, Gusmão, Gabriel S, Kilwein, Zachary A, Boukouvala, Fani, Medford, Andrew J

    Published 19-06-2024
    “…The temporal analysis of products (TAP) technique produces extensive transient kinetic data sets, but it is challenging to translate the large quantity of raw…”
    Get full text
    Journal Article
  17. 17

    Quantifying the impact of temporal analysis of products reactor initial state uncertainties on kinetic parameters by Yonge, Adam, Kunz, M. Ross, Gusmao, Gabriel S., Fang, Zongtang, Batchu, Rakesh, Fushimi, Rebecca R., Medford, Andrew J.

    Published in AIChE journal (24-05-2022)
    “…The temporal analysis of products (TAP) reactor, a transient kinetic tool, provides users with information as the catalyst state evolves. However, the state of…”
    Get full text
    Journal Article
  18. 18

    Model-based design of temporal analysis of products (TAP) reactors: A simulated case study in oxidative propane dehydrogenation by Yonge, Adam C, Gusmão, Gabriel S, Fushimi, Rebecca, Medford, A. J

    Published 27-09-2023
    “…Temporal analysis of products (TAP) reactors enable experiments that probe numerous kinetic processes within a single set of experimental data through…”
    Get full text
    Journal Article
  19. 19

    Kinetics-Informed Neural Networks by Gusmão, Gabriel S, Retnanto, Adhika P, da Cunha, Shashwati C, Medford, Andrew J

    Published 29-11-2020
    “…Chemical kinetics and reaction engineering consists of the phenomenological framework for the disentanglement of reaction mechanisms, optimization of reaction…”
    Get full text
    Journal Article