Publications by authors named "A M Alonso Tarancon"

Background: Analyzing mixtures of radionuclides is a complex task. Two situations are the mixtures of Sr with Sr and Sr with plutonium isotopes. The challenge arises in emergency scenarios resulting from accidents where the activity of Sr is over 20 times higher than that of Sr, complicating its quantification and requiring delayed measurements.

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Article Synopsis
  • Research reveals that rejuvenation and memory in spin glasses are linked to multiple length scales, supported by simulations from the Janus II supercomputer.
  • The study combines numerical simulations with experiments to introduce two key coefficients that measure memory in spin glasses.
  • A new coefficient from Freedberg et al. is shown to be physically equivalent by analyzing its behavior in relation to temperature and waiting time.
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Functional properties of mixed ionic electronic conductors (MIECs) can be radically modified by (de)insertion of mobile charged defects. A complete control of this dynamic behavior has multiple applications in a myriad of fields including advanced computing, data processing, sensing or energy conversion. However, the effect of different MIEC's state-of-charge is not fully understood yet and there is a lack of strategies for fully controlling the defect content in a material.

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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 challenges that impede their commercialization. These challenges include high variability due to their stochastic nature.

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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 high-throughput experimentation combined with machine learning. In this study, we investigate the composition-structure-performance relationships of high-entropy LaSrMnCoFeO perovskite oxides (0 < x, y, z <1; x+y+z≈1) for application as oxygen electrodes in Solid Oxide Cells.

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