Descriptors-based machine-learning prediction of cetane number using quantitative structure–property relationship von Freitas, Rodolfo S.M., Jiang, Xi

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Neural network potential-based molecular investigation of thermal decomposition mechanisms of ethylene and ammonia von Xing, Zhihao, Freitas, Rodolfo S.M., Jiang, Xi

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Parametric and model uncertainties induced by reduced order chemical mechanisms for biogas combustion von Freitas, Rodolfo S.M., Rochinha, Fernando A., Mira, Daniel, Jiang, Xi

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Model identification in reactor-based combustion closures using sparse symbolic regression von Freitas, Rodolfo S.M., Péquin, Arthur, Galassi, Riccardo M., Attili, Antonio, Parente, Alessandro

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Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models von Freitas, Rodolfo S.M., Lima, Ágatha P.F., Chen, Cheng, Rochinha, Fernando A., Mira, Daniel, Jiang, Xi

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An embedded deep learning model discrepancy for computational combustion simulations von Freitas, Rodolfo S. M., Rochinha, Fernando A.

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An encoder-decoder deep surrogate for reverse time migration in seismic imaging under uncertainty von Freitas, Rodolfo S. M., Barbosa, Carlos H. S., Guerra, Gabriel M., Coutinho, Alvaro L. G. A., Rochinha, Fernando A.

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