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Hybrid, functional and polymeric materials for various applications (biomedical, cultural heritage, sustainability)

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Nanoparticles in solution: synthesis, characterization and assembly

Nanoparticles in solution play a fundamental role in diverse scientific fields and are used in a wide range of applications. This symposium focuses on their synthesis, characterization and assembly and covers topics ranging from fundamental mechanisms to advanced methodologies and emerging trends.

Scope:

Nanoparticles in solution play a fundamental role in diverse scientific and technological fields and are involved in a wide range of applications, ranging from functional nanomaterials to biomedicine and optoelectronic devices. The last advances in this field allow now a better understanding of their formation process and the assessment of reliable structure-property relationships.

This symposium aims to bring together researchers working on the synthesis, characterization, and assembly of nanoparticles, with a focus on fundamental mechanisms, advanced methodologies, and emerging trends.

We will explore synthesis strategies that enable precise control over nanoparticle properties, including size, shape, composition, and surface chemistry. Special attention will be given to sustainable and innovative approaches, such as green chemistry, microfluidics, and automated robotic synthesis. The integration of artificial intelligence (AI) and machine learning in nanoparticle synthesis will be a key topic, particularly in the optimization of reaction parameters and real-time decision-making.

The symposium will also cover state-of-the-art characterization techniques, including X-ray scattering, electron microscopy, and optical spectroscopy, which provide deep insights into nanoparticle structure, dynamics, and surface properties.

Additionally, we will highlight principles of self-assembly and interparticle interactions, which pave the way for the design of hierarchical and functional materials. Advances in computational modeling and AI-driven predictive tools for nanoparticle assembly will also be discussed, facilitating the rational design of next-generation nanomaterials for applications in catalysis, sensing, and biomedicine.

We welcome both theoretical and experimental contributions to foster interdisciplinary discussions and drive new strategies.

The symposium will be organized in partnership with the GDR “Nino”, a French research network with topics in this field.

Hot topics to be covered by the symposium:

  • Automated and AI-driven nanoparticle synthesis: Advances in robotic platforms and machine learning for reaction optimization.
  • Emerging sustainable synthesis methods: Green chemistry and microfluidics for precise nanoparticle control.
  • Non-classical nucleation pathways: Multistep nucleation, amorphous intermediates, and mesoscale assembly mechanisms.
  • Advanced in situ characterization: X-ray scattering, in situ electron microscopy, and optical spectroscopy for real-time analysis.
  • Self-assembly and functional nanomaterials: AI-assisted design of hierarchical structures for catalysis, sensing, and biomedical applications.

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Symposium organizers
Akira YOKOAdschiri Laboratory, Tohoku University

AIMR Main Building, Katahira Campus, 2-1-1, Katahira, Aoba-ku ,Sendai 980-8577, Japan

akira.yoko.c7@tohoku.ac.jp
David CARRIERE (Main organizer)CEA, Université Paris-Saclay

CEA Saclay, NIMBE/LIONS, 91191 Gif-sur-Yvette Cedex, France

david.carriere@cea.fr
Dorota KOZIEJInstitute for Nanostructure and Solid- State Physics, University of Hamburg

Luruper Chaussee 149, 22761 Hamburg, Germany

dorota.koziej@uni-hamburg.de
Ovidiu ERSENIPCMS, University of Strasbourg - CNRS

23 rue du Loess, 67034 Strasbourg, France

ovidiu.ersen@ipcms.unistra.fr