Benoit Celse

Modelisation Reactor | IFPEN Solaize, France

Biography

Sessions

11:30h

Congress | Mediterranean Congress on Chemical Engineering (MeCCE)

Artificial Intelligence, Hybrid Modelization, Paving the way to digital twin – MeCCE Plenary Conference

Benoit Celse IFPEN Modelisation Reactor Speaker

2026-06-04 11:30 2026-06-04 12:30 Europe/Madrid Artificial Intelligence, Hybrid Modelization, Paving the way to digital twin – MeCCE Plenary Conference

Due to the Industry 4.0 revolution, several process challenges must be tackled: (i) How to quickly develop new models, (ii) how to automatically update them, (iii) how to estimate uncertainties

To address them, IFPEN has developed two strategies based on AI. They depend on the extent of knowledge about the chemical process. If a model structure is known, transfer learning is used. Otherwise, hybrid model strategies are proposed.

IFPEN is conducting several research projects on knowledge transfer methods, particularly Bayesian approaches.

IFPEN has developed a physics-informed hybrid modeling framework that integrates mechanistic knowledge with a neural network through automatic differentiation, differential residual loss minimization, and physical boundary constraints.

CC3. ROOM 3.11

Thu 4 11:30h - 12:30h CC3. ROOM 3.11 Pre-registration for the congress

REGISTER BEFORE 07.05.2023 TO GET A 50% DISCOUNT

Benoit Celse

Biography

Sessions

Artificial Intelligence, Hybrid Modelization, Paving the way to digital twin – MeCCE Plenary Conference

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