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	On the Development of Descriptor-Based Machine Learning Models for Thermodynamic Properties: Part 1-From Data Collection to Model Construction: Understanding of the Methods and Their Effects Cindy Trinh , Youssef Tbatou , Silvia Lasala , Olivier Herbinet , Dimitrios Meimaroglou Processes, 2023, 11, pp.3325. ⟨10.3390/pr11123325⟩ Article dans une revue hal-04314728v1
	On the Development of Descriptor-Based Machine Learning Models for Thermodynamic Properties: Part 2—Applicability Domain and Outliers Cindy Trinh , Silvia Lasala , Olivier Herbinet , Dimitrios Meimaroglou Algorithms, 2023, 16 (12), pp.573. ⟨10.3390/a16120573⟩ Article dans une revue hal-04384135v1
	A Comprehensive Study on the Styrene–GTR Radical Graft Polymerization: Combination of an Experimental Approach, on Different Scales, with Machine Learning Modeling Cindy Trinh , Sandrine Hoppe , Richard Lainé , Dimitrios Meimaroglou Macromol, 2023, 3 (1), pp.79-107. ⟨10.3390/macromol3010007⟩ Article dans une revue hal-04062623v1
	Machine Learning in Chemical Product Engineering: The State of the Art and a Guide for Newcomers Cindy Trinh , Dimitrios Meimaroglou , Sandrine Hoppe Processes, 2021, 9, ⟨10.3390/pr9081456⟩ Article dans une revue hal-03367703v1

Cindy TRINH