受强制性开放获取政策约束的文章 - Rodolfo Freitas了解详情
无法在其他位置公开访问的文章：1 篇
Deep learning dynamical latencies for the analysis and reduction of combustion chemistry kinetics
L Castellanos, R SM Freitas, A Parente, F Contino
Physics of Fluids 35 (10), 2023
强制性开放获取政策： National Fund for Scientific Research, Belgium, European Commission
可在其他位置公开访问的文章：8 篇
Parametric and model uncertainties induced by reduced order chemical mechanisms for biogas combustion
RSM Freitas, FA Rochinha, D Mira, X Jiang
Chemical Engineering Science 227, 115949, 2020
强制性开放获取政策： European Commission
Model identification in reactor-based combustion closures using sparse symbolic regression
RSM Freitas, A Péquin, RM Galassi, A Attili, A Parente
Combustion and Flame 255, 112925, 2023
强制性开放获取政策： National Fund for Scientific Research, Belgium, European Commission
Descriptors-based machine-learning prediction of cetane number using quantitative structure–property relationship
RSM Freitas, X Jiang
Energy and AI, 100385, 2024
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
A time-lag autoencoder reduced-order model to predict combustion chemical kinetics
L Castellanos, R Da Silva Machado De Freitas, A Parente, F Contino
45th Meeting of the Italian Section of the Combustion Institute, 2023
强制性开放获取政策： National Fund for Scientific Research, Belgium, European Commission
A Data-Driven Approach to Refine the Partially Stirred Reactor Closure for Turbulent Premixed Flames
L Piu, A Péquin, RSM Freitas, S Iavarone, H Pitsch, A Parente
Flow, Turbulence and Combustion, 1-27, 2025
强制性开放获取政策： European Commission
Neural network potential-based molecular investigation of thermal decomposition mechanisms of ethylene and ammonia
Z Xing, RSM Freitas, X Jiang
Energy and AI 18, 100454, 2024
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
An embedded deep learning model discrepancy for computational combustion simulations
RSM Freitas, FA Rochinha
Journal of the Brazilian Society of Mechanical Sciences and Engineering 46 …, 2024
强制性开放获取政策： European Commission
Liquid synthetic fuels design guided by chemical structure: A machine learning perspective
RSM Freitas, C Chen, X Jiang
Applied Energy Innovation Institute (AEii), 2024
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
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