Exploring Reproducible Nonaqueous Scanning Droplet Cell Electrochemistry in Model Battery Chemistries
Source abstract
Abstract
The discovery and optimization of new materials for energy storage are essential for a sustainable future. High-throughput experimentation (HTE) using a scanning droplet cell (SDC) is suitable for the rapid screening of prospective material candidates and effective variation of investigated parameters over a millimeter-scale area. Herein, we explore the transition and challenges for SDC electrochemistry from aqueous toward aprotic electrolytes and address pitfalls related to reproducibility in such high-throughput systems. Specifically, we explore whether reproducibilities comparable to those for millimeter half-cells are achievable on the millimeter half-cell level than for full cells. To study reproducibility in half-cells as a first screening step, this study explores the selection of appropriate cell components, such as reference electrodes (REs) and the use of masking techniques for working electrodes (WEs) to achieve consistent electrochemically active areas. Experimental results on a Li-Au model anode system show that SDC, coupled with a masking approach and subsequent optical microscopy, can mitigate issues related to electrolyte leakage and yield good reproducibility. The proposed methodologies and insights contribute to the advancement of high-throughput battery research, enabling the discovery and optimization of future battery materials with improved efficiency and efficacy.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advancements in Battery Materials · Advanced Battery Technologies Research · Electrocatalysts for Energy Conversion
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Helmholtz Institute Ulm, Helmholtzstr. 11, 89081 Ulm, Germany
Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
Technical University of Munich, TUM School of Natural Sciences, Department of Chemistry, Chair of Digital Catalysis; Munich Institute of Robotics and Machine Intelligence (MIRMI); Munich Data Science Institute (MDSI), Lichtenbergstr. 4, 85748 Garching b. München, Germany
Funding
Deutsche Forschungsgemeinschaft · H2020 Future and Emerging Technologies · HORIZON EUROPE Climate, Energy and Mobility
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