Multi-output machine learning models for kinetic data evaluation : A Fischer–Tropsch synthesis case study

Anoop Chakkingal (1, 2) , Pieter Janssens (2) , Jeroen Poissonnier (3) , Mirella Virginie (4) , Andrei Khodakov (4) , Joris Thybaut (2)

1 Centrale Lille
2 Laboratory for Chemical Technology
3 Laboratory for Chemical Technology
4 UCCS - Unité de Catalyse et Chimie du Solide - UMR 8181

Domaines: Chimie; Informatique [cs]

Anoop Chakkingal, Pieter Janssens, Jeroen Poissonnier, Mirella Virginie, Andrei Khodakov, et al.. Multi-output machine learning models for kinetic data evaluation : A Fischer–Tropsch synthesis case study. Chemical Engineering Journal, 2022, 446, pp.137186. ⟨10.1016/j.cej.2022.137186⟩. ⟨hal-03863277⟩