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| 001 | 1037565 | ||
| 005 | 20250121215651.0 | ||
| 037 | _ | _ | |a FZJ-2025-00753 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Granwehr, Josef |0 P:(DE-Juel1)162401 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a Konstantin Ivanov Intercontinental Seminar |c Online |d 2025-01-17 - 2025-01-17 |w France |
| 245 | _ | _ | |a Magnetic resonance of electrochemical components and devices |f 2025-01-17 - |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Talk (non-conference) |b talk |m talk |0 PUB:(DE-HGF)31 |s 1737442145_21956 |2 PUB:(DE-HGF) |x Invited |
| 336 | 7 | _ | |a Other |2 DINI |
| 520 | _ | _ | |a Magnetic resonance (MR) is a powerful analytical tool in electrochemistry due to its selectivity and versatility. If studying materials for electrochemical applications, similar opportunities and limitations exist as for other materials. However, some established paradigms for data analysis and interpretation need to be questioned for ion-conducting materials with stochastic occupancy. Since performance-limiting processes often occur at interfaces, one would like to study working cells, ideally during operation. In this case various additional challenges are introduced, such as electrically conducting components that cause losses in common MR setups, or changing impedances during cycling and aging that alter the Q of the resonator.In this talk, strategies will be discussed to identify and mitigate some of these challenges. For some questions, a compromise is offered by studying components of electrochemical systems, where interfaces are present yet losses can be minimised. NMR and EPR examples of battery applications will be presented where sample preparation and protocols are adapted to address specific questions. Laplace inversion without non-negativity constraint is demonstrated as a useful tool to analyse relaxation and diffusion data, and the importance of an integrated approach combining MR and theory for data interpretation is highlighted. |
| 536 | _ | _ | |a 1223 - Batteries in Application (POF4-122) |0 G:(DE-HGF)POF4-1223 |c POF4-122 |f POF IV |x 0 |
| 536 | _ | _ | |a DFG project G:(GEPRIS)422726248 - SPP 2248: Polymer-basierte Batterien (422726248) |0 G:(GEPRIS)422726248 |c 422726248 |x 1 |
| 536 | _ | _ | |a InOPlaBat - In-Situ und Operando Plating Detektion in Batterien (13XP0352B) |0 G:(BMBF)13XP0352B |c 13XP0352B |x 2 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1037565 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)162401 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 0 |6 P:(DE-Juel1)162401 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Materialien und Technologien für die Energiewende (MTET) |1 G:(DE-HGF)POF4-120 |0 G:(DE-HGF)POF4-122 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Elektrochemische Energiespeicherung |9 G:(DE-HGF)POF4-1223 |x 0 |
| 914 | 1 | _ | |y 2025 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IET-1-20110218 |k IET-1 |l Grundlagen der Elektrochemie |x 0 |
| 980 | _ | _ | |a talk |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IET-1-20110218 |
| 980 | _ | _ | |a UNRESTRICTED |
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