Cindy TRINH

Identifiants chercheurs

IdHAL :

cindy-trinh

ORCID :

0000-0002-9743-9153

Présentation

Publications

Article dans une revue (5)

A Novel Hybrid Modeling Framework for Polymer Reaction Engineering with Application to Real-Time Process Monitoring Cindy Trinh,Maria Prokopidou,Konstantinos Chatzilygeroudis,Dimitrios Meimaroglou Industrial and engineering chemistry research, 2025, ⟨10.1021/acs.iecr.5c02499⟩ Article dans une revue hal-05356779v1
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

Communication dans un congrès (1)

Towards optimal algorithms for multi-player bandits without collision sensing information Wei Huang,Richard Combes,Cindy Trinh COLT 2022: 35th Conference on Learning Theory, Jul 2022, London, United Kingdom. pp.1990-2012 Communication dans un congrès hal-03942518v1

Thèse (1)

On the use of Machine Learning modeling tools in chemical process and product engineering Cindy Trinh Chemical and Process Engineering. Université de Lorraine, 2024. English. ⟨NNT : 2023LORR0214⟩ Thèse tel-04634000v1