ICR numbers

8 research teams working at the interfaces of radical chemistry, organic synthesis, simulations, materials or even biology.

staff members
per year


  • Congratulation Maxence ! Regional final of the "My Thesis in 180 seconds" contest

    Congratulations to Maxence Holzritter who well defended the ICR colors at the regional final of the "My Thesis in 180 seconds" contest
    A real Prince Charming!

    Click here to see him again (from 1h50sec)
  • Welcome on the new website of the ICR !

    The media team of the Institute of Radical Chemistry is proud to present its new website.
    Thanks to the design agency "Ouvre Boîte" from Marseille for the artwork of the homepage.
    Good Navigation !

    Contact Web designer : Maxime Pertici
  • A new NMR DNP equipment in Marseille!

    The Dynamic Nuclear Polarization technique allow to overcome the low sensitivity of the NMR technique thanks to the principle of the transfer of spin polarization from electrons to nuclei.

    Find this new equipment at the Spectropole of the Federation Sciences Chimiques Marseille

    More info

Monitoring Crystallization Processes in Confined Porous Materials by Dynamic Nuclear Polarization Solid-State Nuclear Magnetic Resonance

Journal of the American Chemical Society, 2021, 143, 6095−6103​

Researchers from the SACS and CMO teams showed that solid-state NMR, combined with dynamic nuclear polarization (DNP), enables efficient detection of metastable, transient species formed at the early stages of crystallization processes occurring in pure water under nanoconfinement. The approach relies on a new class of polarizing agents composed of mesoporous silica materials with TEMPO radicals embedded in the walls of the material, developed at the ICR.


Congratulation to Prof. Mario Barbatti, CT team, nominated senior member of the Institut Universitaire de France, IUF, and fellow of the European Academy of Sciences, EURASC .

Focus on the project of Juan Miguel Gonzalez Sanchez, PhD student at the LCE and the CROPS team

In the framework of the DOC2AMU program , Juan Miguel Gonzalez Sanchez of the Laboratoire de Chimie de l’Environnement (LCE) and the CROPS team is presenting his PhD work on “Multiphase reactivity of polyfunctional organic nitrates in the atmosphere : MULTI-NITRATES” in collaboration with the AtmoSud organisation.

Project supported by the European Commission, the Sud region (Provence-Alpes-Côte d’Azur), the CNRS and the A*Midex foundation of Aix Marseille University

Switching from single to simultaneous free radical and anionic polymerization with enamine-based organic electron donors

Angew. Chem. Int. Ed. 2021, Accepted article

The PCR and CROPS teams demonstrated that enamine-type organic electron donors are the first systems able to initiate either independent or simultaneous radical and anionic polymerizations.

Guest exchange by a partial energy ratchet in water

Angew. Chem. Int. Ed. 2021, 60, 6617-6623

Landmark advances have recently allowed to mimic some mechanical aspects of biological molecular machines, but all the reported systems work in organic solvents. Researchers from the SREP, SACS, CROPS teams and University of Macau (Institute of Chinese Medical Sciences) have now described a partial energy ratchet working in water, suggesting that the macrocycles cucurbiturils could become prime components for the construction of advanced molecular machines.


Nitroxides: Synthesis, Properties and Applications

Published by the Royal Society of Chemistry, 2021.

Editors: Olivier Ouari, Didier Gigmes

Chapters in this book cover the synthesis of nitroxides, EPR studies and magnetic resonance applications, physiochemical studies, and applications including in batteries, imaging and organic synthesis. With contributions from leaders in the field, Nitroxides will be of interest to graduate students and researchers across chemistry, physics, biology and materials science

Molecular Excited States Through a Machine Learning Lens

Nature Chemistry Reviews, 2021,

DOI: 10.1038/s41570-021-00278-1

 This Review surveys a broad range of machine-learning applications in molecular excited-state research, including predicting molecular properties and searching for new optoelectronic materials. Pavlo O. Dral et Mario Barbatti (CT team) critically discuss machine-learning developments to track their progress, assess the current state-of-the-art, and highlight the critical issues to solve in the future.

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