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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”.
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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"
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Our Perspective “Basic concepts and tools of artificial intelligence in polymer science” published in Polymer Chemistry (Polymer Chemistry Recent HOT Articles)
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🆕 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.
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.
- 🔗 Live demo: Hugging Face
- 🔗 Open-source code: DOI link
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We're excited to announce our latest publication: 'Shedding Light on Surfactant-Free Emulsion Polymerization.' Discover how latex can stand alone without surfactants!
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"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.
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.