Conservators and museum technicians protect precious archaeological metal objects, such as tools and weapons, with clear coatings, leaving preserved and unobstructed views of these detailed treasures. However, researchers have reported in ACS Central Science that some of the resins used for these coatings react with iron-containing metals and can cause damage. The team developed a non-invasive fluorescence imaging strategy that reveals early signs of these damaging chemical reactions and confirmed its utility on ancient artifacts.  

Conservators and museum technicians protect precious archaeological metal objects, such as tools and weapons, with clear coatings, leaving preserved and unobstructed views of these detailed treasures. However, researchers have reported in ACS Central Science that some of the resins used for these coatings react with iron-containing metals and can cause damage. The team developed a non-invasive fluorescence imaging strategy that reveals early signs of these damaging chemical reactions and confirmed its utility on ancient artifacts.  

With EUR 10m in federal funding, Graz University of Technology (TU Graz) is enhancing its hydrogen infrastructure at Campus Inffeldgasse. The new electrolysis test centre and expanded testing facilities for fuel cells and high-temperature burners are sign

Studying the charge behavior inside multi-layered organic light-emitting diodes (OLEDs) is crucial to improve the efficiency and lifetime of such devices. But, this is extremely challenging to examine under operating conditions. To address this, researchers from Chiba University, Japan, used electronic sum-frequency generation (ESFG) spectroscopy to investigate interface-specific charge behavior inside OLEDs under light-emitting conditions and reported ESFG as a non-invasive and innovative method to observe electric-field formation in OLEDs.

On February 11, the team from the Data Darkness Lab (DDL) at the Medical Imaging Intelligence and Robotics Research Center of the University of Science and Technology of China (USTC) Suzhou Institut introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of the main memory, compared to SOTA out-of-core GNN systems. This work published on ACM Journals.

MIT engineers have fabricated a metamaterial that is not only strong but also stretchy. Their new method could enable stretchable ceramics, glass, and metals, for tear-proof textiles or stretchy semiconductors.