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

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