Kinetics-Informed Neural Networks. - Gabriel S. Gusmão; Adhika P. Retnanto; Shashwati C. da Cunha; Andrew J. Medford (CoRR, 2020)

Model-based design of temporal analysis of products (TAP) reactors: A simulated case study in oxidative propane dehydrogenation. - Adam C. Yonge; Gabriel S. Gusmão; Rebecca Fushimi; Andrew J. Medford (CoRR, 2023)

Fitting micro-kinetic models to transient kinetics of temporal analysis of product reactors using kinetics-informed neural networks. - Dingqi Nai; Gabriel S. Gusmão; Zachary A. Kilwein; Fani Boukouvala; Andrew J. Medford (CoRR, 2024)

Neural-network representations of chemical kinetics. - Gabriel S. Gusmão (2024)

Maximum-likelihood estimators in physics-informed neural networks for high-dimensional inverse problems. - Gabriel S. Gusmão; Andrew J. Medford (Comput. Chem. Eng., 2024)