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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977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

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Appiah, Williams Agyei

  • Google
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University of Agder

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2023Towards Understanding the Variation of Electrode Design Parameters on the Electrochemical Performance of Aluminum Graphite Batteries:An Experimental and Simulation Study5citations
  • 2023Unveiling the plating-stripping mechanism in aluminum batteries with imidazolium-based electrolytes:A hierarchical model based on experiments and ab initio simulations6citations
  • 2023Unveiling the plating-stripping mechanism in aluminum batteries with imidazolium-based electrolytes6citations
  • 2023Towards understanding the variation of electrode design parameters on the electrochemical performance of aluminum graphite batteries: An experimental and simulation study5citations
  • 2022Modeling the Solid Electrolyte Interphase:Machine Learning as a Game Changer?56citations
  • 2022Modeling the Solid Electrolyte Interphase56citations

Places of action

Chart of shared publication
Stockham, Mark P.
1 / 1 shared
Lastra, Juan Maria Garcia
1 / 2 shared
Lysgaard, Steen
2 / 3 shared
Gollas, Bernhard
2 / 10 shared
Stark, Anna
2 / 2 shared
Garcia-Lastra, Juan Maria
2 / 2 shared
Chang, Jin Hyun
2 / 7 shared
Jankowski, Piotr
2 / 15 shared
Bhowmik, Arghya
4 / 8 shared
Busk, Jonas
2 / 2 shared
García Lastra, Juan Maria
1 / 15 shared
Stockham, Mark
1 / 3 shared
Vegge, Tejs
2 / 36 shared
Heuer, Andreas
2 / 4 shared
Diddens, Diddo
2 / 3 shared
Mabrouk, Youssef
2 / 2 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Stockham, Mark P.
  • Lastra, Juan Maria Garcia
  • Lysgaard, Steen
  • Gollas, Bernhard
  • Stark, Anna
  • Garcia-Lastra, Juan Maria
  • Chang, Jin Hyun
  • Jankowski, Piotr
  • Bhowmik, Arghya
  • Busk, Jonas
  • García Lastra, Juan Maria
  • Stockham, Mark
  • Vegge, Tejs
  • Heuer, Andreas
  • Diddens, Diddo
  • Mabrouk, Youssef
OrganizationsLocationPeople

article

Towards understanding the variation of electrode design parameters on the electrochemical performance of aluminum graphite batteries: An experimental and simulation study

  • Appiah, Williams Agyei
  • Stockham, Mark
  • Garcia-Lastra, Juan Maria
Abstract

<jats:p>Due to their high power density and availability, aluminum batteries consisting of graphite positive electrode and ionic liquid electrolytes are promising candidates for post‐lithium‐ion batteries. However, the effect of the various electrode design parameters on their electrochemical performance is not well understood. Herein, a high‐fidelity physics‐based model validated with experimental data obtained from a Swagelok cell consisting of an aluminum metal negative electrode, imidazolium ionic liquid electrolyte, and graphite positive electrode is used to study the effects of various electrode design parameters on the discharge capacity. The model is used to optimize the design of the electrodes by generating several Ragone plots, estimating the optimum current density for a given cell design, and explaining the limitations of the cells based on the transport of the electroactive species. An optimum graphite thickness of 50 µm is obtained for all the discharge times considered in this study. Determining the ideal electrode configuration for Al‐graphite batteries using different ionic liquid electrolytes and considering various discharge durations could provide a reference point for evaluating the suitability of a specific ionic liquid electrolyte in a particular use case.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • simulation
  • aluminium
  • Lithium
  • current density