Predicting the DNP-SENS efficiency in reactive heterogeneous catalysts from hydrophilicity

Author:

Pump Eva1234ORCID,Bendjeriou-Sedjerari Anissa1234ORCID,Viger-Gravel Jasmine5678,Gajan David910111213,Scotto Baptiste1234,Samantaray Manoja K.1234,Abou-Hamad Edy11434ORCID,Gurinov Andrei11434ORCID,Almaksoud Walid1234,Cao Zhen1234,Lesage Anne910111213,Cavallo Luigi1234ORCID,Emsley Lyndon5678ORCID,Basset Jean-Marie1234ORCID

Affiliation:

1. King Abdullah University of Science and Technology (KAUST)

2. KAUST Catalysis Center (KCC)

3. Thuwal

4. Saudi Arabia

5. Institut des Sciences et Ingénierie Chimiques

6. Ecole Polytechnique Fédérale de Lausanne (EPFL)

7. CH-1015 Lausanne

8. Switzerland

9. Institut de Sciences Analytiques (CNRS/ENS-Lyon/UCB-Lyon 1)

10. Université de Lyon

11. Centre de RMN à Très Hauts Champs

12. 69100 Villeurbanne

13. France

14. Core Labs

Abstract

Identification of surfaces at the molecular level has benefited from progress in dynamic nuclear polarization surface enhanced NMR spectroscopy (DNP SENS).

Funder

H2020 European Research Council

King Abdullah University of Science and Technology

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

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