Publication date: 15th December 2025
Over the years, synchrotron techniques are playing an increasingly important role in the development and innovations in battery science, due to their unique ability to provide accurate information on the electronic structure of redox active elements, local and crystalline structure, and morphological information, also in operando conditions. Despite the potential innovative outcomes of synchrotron investigations, the generation of significant developments seems hindered by the resources needed to fully and quickly exploit these capabilities and the limited cooperation between academic and industrial parties.
Several challenges can be identified for the development of more performing and sustainable batteries. First of all, it has been widely demonstrated how in most of the cases it is needed a multi-modal and/or multi-scale approach, where only a combination of techniques is able to provide a comprehensive answer to the scientific question. On the other hand, massive data production due to such approaches and coupled to the operando capabilities imply challenges in the data analysis. Moreover, the variability of several reported results points out the need of developing well defined empirical strategies, including standardized data acquisition protocols and setups and automated recognition of artifacts, to correctly identify the correlations of interest and the right descriptors to evolve towards predictor approaches.
These challenges are addressed through examples, which highlights some necessary technical developments that are expected to foster battery innovation strengthening the cooperation between academics and industries to allow a faster outcome for the society.
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