LNE & POLLEN launch a collaborative project for AI-based correlative metrology of nanomaterials

This partnership research project is dedicated to developing an advanced platform for correlative metrology applied to nanomaterials, based on artificial intelligence and the fusion of multi-instrument data.

Developing a collaborative software platform

Entitled PACMAN – Platform for Advanced Correlative Metrology Applied to Nanomaterials, the project aims to develop a proof of concept (PoC) for a collaborative software platform that can merge data from SEM, AFM, EDX, and EBSD data, co-locate dimensional, morphological, chemical, and crystallographic information at the scale of each nanoparticle, and generate number size distributions that can be used in a regulatory and normative framework.

Lasting 18 months, including 12 months of R&D followed by a scientific and industrial development phase, this project is part of a sustainable innovation approach, serving ecological, energy, and technological transitions.

This project perfectly illustrates Pollen's vision: to put collaborative AI at the service of advanced metrology and industry. By combining the scientific excellence of the LNE and the power of our Smart3 platform, we are paving the way for a new generation of software solutions for the characterization of nanomaterials.

Johann Foucher, Chief Executive Officer, Pollen

This project will help strengthen European scientific and technological sovereignty, structure digital value chains around scientific instruments, and accelerate the transfer of research results to industry.
The results of the PACMAN project have strong scientific, regulatory, and industrial potential in the following sectors:

Nanomaterials and advanced materials
Industry and instrument manufacturers
Regulation, standardization, and compliance
Applied artificial intelligence and data science
Energy, health, environment, microelectronics, and advanced chemistry

Correlative metrology is key to ensuring reliable, traceable, and usable measurements of advanced (nano)materials. This partnership with Pollen allows us to explore innovative AI-based software approaches to accelerate the commercialization of our work in industry. We are thus continuing our efforts to structure a collaborative ecosystem at the national level, enabling manufacturers to access measurements that comply with current regulations. We aim to strengthen European sovereignty by improving the reliability of the data needed to implement the European Union's Digital Product Passport (DPP), while contributing to the development of international standards and guidelines.

Thomas Grenon, Managing Director of LNE

Learn more about LNE's nanomaterial metrological characterization methods (in french)