Welcome to the DNP Group in Grenoble
The group is specialized in Nuclear Magnetic Resonance (NMR) and in
particular develops Dynamic Nuclear Polarization (DNP) methods.
It belongs to INAC (MEM/RM and SBT) located at CEA Grenoble, is part of the PFNC, and is supported by CEA, CNRS, and Grenoble Alpes University.
Our research is also supported by the ANR (Agence Nationale de la Recherche) and the ERC.
Recent Announcements
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Efficient Cross-Effect Dynamic Nuclear Polarization without Depolarization in High-resolution MAS NMR
Efficient Cross-Effect Dynamic Nuclear Polarization without Depolarization in High-resolution MAS NMR. Dynamic nuclear polarization (DNP) has the potential to enhance the sensitivity of magic-angle spinning (MAS) NMR ...
Posted Oct 23, 2017, 12:27 AM by Daniel Lee
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Efficient 2D double-quantum solid-state NMR spectroscopy with large spectral widths
Efficient 2D double-quantum solid-state NMR spectroscopy with large spectral widths. 2D double-quantum single-quantum correlation spectra with arbitrary spectral widths can be recorded with SR26 and related ...
Posted Oct 23, 2017, 12:40 AM by Daniel Lee
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Book chapter: High-Field Solid-State NMR with Dynamic Nuclear Polarization
High-Field Solid-State NMR with Dynamic Nuclear Polarization. Microwave-induced dynamic nuclear polarization (DNP) can produce hyperpolarization of nuclear spins, leading to substantial signal enhancement in NMR. This chapter ...
Posted May 8, 2017, 2:15 AM by Daniel Lee
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Solvent signal suppression for high-resolution MAS-DNP
Solvent signal suppression for high-resolution MAS-DNP. Dynamic nuclear polarization (DNP) has become a powerful tool to substantially increase the sensitivity of high-field magic angle spinning (MAS) solid ...
Posted Mar 30, 2017, 3:05 AM by Daniel Lee
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Ernst award 2016 for Katharina Märker
Katharina Märker (PhD student) was awarded the Ernst Award during the Annual Meeting of the German Magnetic Resonance Discussion Group in Düsseldorf. At this occasion she had the opportunity to ...
Posted Mar 30, 2017, 3:00 AM by Daniel Lee
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