Accelerating Battery Characterization Using Neutron and Synchrotron Techniques: Toward a Multi‐Modal and Multi‐Scale Standardized Experimental Workflow

Duncan Atkins, Ennio Capria, Kristina Edström, Theodosios Famprikis, Alexis Grimaud, Quentin Jacquet, Mark Johnson, Aleksandar Matic, Poul Norby, Harald Reichert, Jean‐Pascal Rueff, Claire Villevieille, Marnix Wagemaker*, Sandrine Lyonnard*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

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Abstract

Li-ion batteries are the essential energy-storage building blocks of modern society. However, producing ultra-high electrochemical performance in safe and sustainable batteries for example, e-mobility, and portable and stationary applications, demands overcoming major technological challenges. Materials engineering and new chemistries are key aspects to achieving this objective, intimately linked to the use of advanced characterization techniques. In particular, operando investigations are currently attracting enormous interest. Synchrotron- and neutron-based bulk techniques are increasingly employed as they provide unique insights into the chemical, morphological, and structural changes inside electrodes and electrolytes across multiple length scales with high time/spatial resolutions. However, data acquisition, data analysis, and scientific outcomes must be accelerated to increase the overall benefits to the academic and industrial communities, requiring a paradigm shift beyond traditional single-shot, sophisticated experiments. Here a multi-scale and multi-technique integrated workflow is presented to enhance bulk characterization, based on standardized and automated data acquisition and analysis for high-throughput and high-fidelity experiments, the optimization of versatile and tunable cells, as well as multi-modal correlative characterization. Furthermore, new mechanisms, methods and organizations such as artificial intelligence-aided modeling-driven strategies, coordinated beamtime allocations, and community-unified infrastructures are discussed in order to highlight perspectives in battery research at large scale facilities.
Original languageEnglish
Article number2102694
JournalAdvanced Energy Materials
Number of pages20
ISSN1614-6832
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Batteries
  • Experimental workflows
  • Neutron techniques
  • Operando characterization
  • Synchrotron techniques

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