Accelerating Battery Characterization Using Neutron and Synchrotron Techniques: Toward a Multi-Modal and Multi-Scale Standardized Experimental Workflow
Artikel i vetenskaplig tidskrift, 2022

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.

operando characterization

experimental workflows


neutron techniques

synchrotron techniques


Duncan Atkins

Institut Laue-Langevin

Ennio Capria

European Synchrotron Radiation Facility (ESRF)

Kristina Edstrom

Uppsala universitet

Theodosios Famprikis

TU Delft

Alexis Grimaud

Collège de France

Centre national de la recherche scientifique (CNRS)

Quentin Jacquet

Université Grenoble Alpes

Mark Johnson

Institut Laue-Langevin

Aleksandar Matic

Chalmers, Fysik, Materialfysik

Poul Norby

Danmarks Tekniske Universitet (DTU)

Harald Reichert

European Synchrotron Radiation Facility (ESRF)

Jean-Pascal Rueff

Sorbonne Université

SOLEIL Synchrotron

Claire Villevieille

Université Grenoble Alpes

Marnix Wagemaker

TU Delft

Sandrine Lyonnard

Université Grenoble Alpes

Advanced Energy Materials

1614-6832 (ISSN) 1614-6840 (eISSN)

Vol. 12 17 2102694

Battery Interface Genome - Materials Acceleration Platform - BIG-MAP

Europeiska kommissionen (EU) (EC/H2020/957189), 2020-09-01 -- 2023-08-31.


Övrig annan teknik

Datavetenskap (datalogi)




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