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J. Phys. Energy 3 (2021) 031503 N Tapia-Ruiz et al tools such as 3D-PDF [230, 231] that can identify Na sites when disordered, component analysis that can separate multiple phases in the PDF, and machine-learning algorithms that can be used to identify potentially interesting structures, including disordered ones. Concluding remarks Neutron characterisation techniques deliver significant capabilities to the energy materials community, giving the possibility of full, multimodal characterisation of all functional properties and related structural and spectroscopic phenomena. The development of new sample environments to permit these multimodal studies across different instrumentations and techniques is essential to support progress in this area. Equally, investment in neutron facilities to improve instrumentation, detectors, and neutron flux will result in advances in the temporal and spatial resolution of neutron-scattering techniques. This combination of developments will facilitate a comprehensive understanding of battery systems and thus promote the creation of new and improved battery systems. Acknowledgment The authors wish to acknowledge the financial support of the Faraday Institution (Grant No. FIRG018). 58PDF Image | 2021 roadmap for sodium-ion batteries
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