Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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Wagemaker, Marnix

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024High dielectric filler for all-solid-state lithium metal battery3citations
  • 2023Li5NCl217citations
  • 2020Hollow MoS3 Nanospheres as Electrode Material for “Water‐in‐Salt” Li–Ion Batteriescitations
  • 2019The non-ohmic nature of intercalation materials and the consequences for charge transport limitations3citations
  • 2018Operando Neutron Depth Profiling to Determine the Spatial Distribution of Li in Li-ion Batteries41citations

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Chart of shared publication
Thijs, Michel
1 / 2 shared
Boshuizen, Bart
1 / 2 shared
Ganapathy, Swapna
2 / 2 shared
Bannenberg, Lars
2 / 12 shared
Zhao, Chenglong
1 / 1 shared
Wang, Chao
1 / 14 shared
Liu, Ming
1 / 17 shared
Leeuw, Joris De
1 / 1 shared
Famprikis, Theodosios
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Landgraf, Victor
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Yu, Hongtao
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Lu, Yan
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Tovar, Michael
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Abouras, Daniel
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Xu, Yaolin
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Goubard-Bretesché, Nicolas
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Quan, Ting
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Kochovski, Zdravko
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Skrodczky, Kai
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Li, Zhaolong
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Mei, Shilin
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Kirmse, Holm
1 / 3 shared
Verhallen, Tomas
2 / 3 shared
Ledovskikh, A. V.
1 / 1 shared
Lv, Shasha
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Co-Authors (by relevance)

  • Thijs, Michel
  • Boshuizen, Bart
  • Ganapathy, Swapna
  • Bannenberg, Lars
  • Zhao, Chenglong
  • Wang, Chao
  • Liu, Ming
  • Leeuw, Joris De
  • Famprikis, Theodosios
  • Landgraf, Victor
  • Yu, Hongtao
  • Lu, Yan
  • Tovar, Michael
  • Abouras, Daniel
  • Xu, Yaolin
  • Goubard-Bretesché, Nicolas
  • Quan, Ting
  • Kochovski, Zdravko
  • Skrodczky, Kai
  • Li, Zhaolong
  • Mei, Shilin
  • Kirmse, Holm
  • Verhallen, Tomas
  • Ledovskikh, A. V.
  • Lv, Shasha
OrganizationsLocationPeople

article

Operando Neutron Depth Profiling to Determine the Spatial Distribution of Li in Li-ion Batteries

  • Wagemaker, Marnix
  • Verhallen, Tomas
  • Lv, Shasha
Abstract

Neutron Depth Profiling (NDP) allows determination of the spatial distribution of specific isotopes, via neutron capture reactions. In a capture reaction charged particles with fixed kinetic energy are formed, where their energy loss through the material of interest can be used to provide the depth of the original isotope. As lithium-6 has a relatively large probability for such a capture reaction, it can be used by battery scientists to study the lithium concentration in the electrodes even during battery operation. The selective measurement of the 6Li isotope makes it a direct and sensitive technique, whereas the penetrative character of the neutrons allows practical battery pouch cells to be studied. Using NDP lithium diffusion and reaction rates can be studied operando as a function of depth, opening a large range of opportunities including the study of alloying reactions, metal plating, and (de) intercalation in insertion hosts. In the study of high rate cycling of intercalation materials the relatively low Li density challenges counting statistics while the limited change in electrode density due to the Li-ion insertion and extraction allows straightforward determination of the Li density as a function of electrode depth. If an electrode can be (dis)charged reversibly, data can be acquired and accumulated over multiple cycles to increase the time resolution. For Li metal plating and alloying reactions, the large lithium density allows good time resolution, however the large change of the electrode composition and density makes extracting the Li-density as a function of depth more challenging. Here an effective method is presented, using calibration measurements of the individual components, based on which the ratio of the components as a function of depth can be determined as well as the total Li-density. The same principles can be applied to insertion host materials, where the differences in density due to electrolyte infiltration yield the electrode porosity as a function of depth. This is of particular importance for battery electrodes where porosity has a direct influence on the energy density and charge transport.

Topics
  • density
  • impedance spectroscopy
  • energy density
  • extraction
  • Lithium
  • porosity