News

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An innovative tool to unlock the secrets of excitation lifetimes

A recent study has unveiled a novel method for measuring excitation decay times in materials using cathodoluminescence excitation (CLE) spectroscopy. This finding is set to advance our understanding of material properties at the nanoscale.

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Designing an affordable and customizable electron detector for electron microscopy

Electron microscopy has long been a cornerstone of materials science, enabling researchers to delve into the nanoscale world with remarkable precision. However, commercial electron microscopes’ high cost and proprietary nature have often hindered broader access and innovation.

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Introducing a novel NaOH protective layer to improve sodium batteries

The quest for more efficient and durable energy storage solutions has led scientists to explore innovative methods to enhance sodium batteries. A recent study has introduced a NaOH protective layer as an easily scalable method to protect sodium without any additional chemicals or a special environment for this reaction. This achievement has the potential to significantly improve the stability and performance of sodium metal anodes.

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Collaborative Advancements in TEM: An Engaging IMPRESS Workshop

The first IMPRESS Training Workshop, co-organized by Euro-BioImaging and CERIC-ERIC with the support of Promoscience, successfully gathered a diverse group of scientists, technologists and stakeholders over two virtual sessions on November 5 and 7, 2024. With over 65 participants joining each day, the workshop showcased leading-edge developments in transmission electron microscopy (TEM) carried out within the framework of the IMPRESS Project, fostering a collaborative exchange of ideas and solutions for enhancing the capabilities of TEMs.

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IMPRESS Project showcased at the Big Science Business Forum

The IMPRESS project successfully participated in the third edition of the Big Science Business Forum (BSBF 2024), held from October 2-4 in Trieste, Italy. With over 1300 delegates and key players from the European Big Science and high-tech industries in attendance, the event provided a significant platform to showcase the innovations driving the IMPRESS project.

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Deep learning: Improving materials characterization through automated EELS analysis

Deep learning is increasingly recognized as a powerful tool for advancing materials characterization, particularly in Electron Energy Loss Spectroscopy (EELS), as highlighted by a recent study. Traditionally, identifying core-loss edges and their corresponding elements in EELS spectra has required manual effort, making the process time-consuming and error-prone, especially in large datasets.