Nov 2025 – I will present an invited lecture at the GFP National Colloquium (Villeneuve d’Ascq/France), entitled “Polymer science in the age of AI”.

Congratulations to Jihad Oumerri for the successful defense of his PhD: “In-situ preparation of nano-vectors derived from natural polysaccharides for nanomedicine”. His work contributes to the development of innovative, bio-based nanocarriers for applications in nanomedicine.

After launching DetectNano, we're now sharing the full technical story behind the tool : " DetectNano: deep learning detection in TEM images for high-throughput nanostructure characterization"

Our Perspective “Basic concepts and tools of artificial intelligence in polymer science” published in Polymer Chemistry (Polymer Chemistry Recent HOT Articles) 

🆕 DetectNano (First Release )
DetectNano is an open-source AI platform designed to automate the detection and classification of polymer nanostructures in TEM images. This tool accelerates the analysis of self-assembled morphologies such as micelles, worms, and polymersomes, reducing human bias and time-consuming manual annotation.

We're excited to announce our latest publication: 'Shedding Light on Surfactant-Free Emulsion Polymerization.' Discover how latex can stand alone without surfactants!

"Neural Network-Driven Exploration in Polymerization-Induced Self-Assembly: From 2D to 3D Pseudo-Phase Diagram"

In this work, we demonstrate how artificial intelligence can be leveraged to predict phase diagrams for Polymerization-Induced Self-Assembly (PISA), opening new perspectives for the rational design of polymeric nanostructures.