Perovskite oxides form a large family of materials with applications across various fields, owing to their structural and chemical flexibility. Efficient exploration of this extensive compositional space is now achievable through automated...
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Neuromorphic hardware facilitates rapid and energy-efficient training and operation of neural network models for artificial intelligence. However, existing analog in-memory computing devices, like memristors, continue to face significant...
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In this work, a multimodal characterization approach has been used to study the phase and defect evolution upon cycling in aqueous batteries of a well-known yet not fully exploited cathode material, LiMn2O4. This is the first time that...
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In this study, electrolyte-supported solid oxide cells, fabricated using 3D printing and combined with ultrathin flat metallic interconnects, were successfully operated in both fuel cell (SOFC) and electrolysis (SOEC) modes. The three-cell...
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