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 challenges that impede their commercialization. These challenges include high...
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Adaptive biological systems dominate nature due to their flexibility. In contrast, human-fabricated electronic devices have limited flexibility and adaptability, as their functionality is mostly fixed during fabrication. Therefore, developing nature-inspired, stimuli-responsive devices has been a long-standing goal...
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Accelerated mapping of composition-structure-property relationships is a central goal in current materials research. Advanced approaches leverage machine learning (ML) models on existing databases, including data mining from the literature. However, efficient and effective application of these ML models requires...
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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 Tip-Enhanced Raman Spectroscopy (TERS) is employed to observe defect evolution...
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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 substack yielded a maximum power of 27 W (200 mW/cm2) and a maximum injected...
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In this work, SLA 3D printing of 6Yb4ScSz has been developed to produce complex-shape electrolytes for SOC applications with better performance than counterparts based on state-of-the-art 8YSZ. Corrugated 6Yb4ScSZ cells presented enhanced values of peak power density and maximum injected current of 470 mW cm−2 and...
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Our newly published paper introduces a groundbreaking approach to manufacture Large Area Solid Oxide Cells via 3D printing that has the potential to revolutionize power generation and energy storage. We proudly present the successful fabrication of large-area solid oxide cells, an impressive 25 cm², operated in...
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3D Printing for Energy Applications, co-authored by Albert Tarancón (ICREA Research Professor and Head of the Nanoionics and Fuel Cells Group at the Catalonia Institute for Energy Research) and Vincenzo Esposito (Professor and Technology Coordinator in Ceramic Science and Engineering at the Department of...
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Three dimensional printing technologies represent a manufacturing revolution because of their unique capabilities for increasing shape complexity while reducing waste material, capital cost and design for manufacturing. However, the application of 3D printing technologies for the fabrication of devices remains an...
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Standard silicon CMOS technology can create thermoelectric micro-harvesters that could be used to power numerous IoT devices as Albert Tarancon explains in his last publication in Nature.
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Large amounts of waste heat generated in our fossil-fuel based economy can be converted into useful electric power by using the so-called thermoelectric generators. These power generators use temperature differences to generate electricity in a very simple and straightforward way. However, the...
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