Institute of Radical
Chemistry
Research at the Institute of Radical Chemistry focuses on compounds carrying single electrons. We master their structure through synthesis, characterization and simulations to access a broad range of applications from advanced materials to therapeutic uses.
ICR numbers
8 research teams working at the interfaces of radical chemistry, organic synthesis, simulations, materials or even biology.
per year
contracts
News
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Congratulation Maxence ! Regional final of the "My Thesis in 180 seconds" contest
Click here to see him again (from 1h50sec)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! -
Welcome on the new website of the ICR !
Contact Web designer : Maxime PerticiThe 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 ! -
A new NMR DNP equipment in Marseille!
More infoThe 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
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.
Distinction
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
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.
