In Physics of Fluids, researchers have developed a foolproof recipe for cacio e pepe, based on their findings studying the physics of mixing cheese in water and determining the mechanism that causes the cheese sauce to go from creamy to clumpy. The team found that a 2%-3% starch-to-cheese ratio produced the smoothest, most uniform sauce; they recommend using powdered starch, rather than relying on an unknown amount of starch in pasta water.

The state-of-the-art digital detector array, developed by the Institute of Modern Physics offers a high - precision measurement tool for the study of exotic nuclei decay. This system demonstrates unique advantages in accurately measuring rare decay processes such as β-delayed proton emission, α decay, and direct proton radioactivity. Verified by experiments on the radioactive isotope ³²Ar and its neighboring nuclei, the system achieves excellent timing and energy resolution, promoting our understanding of nuclear structure and astrophysical processes.

A research paper by scientists at University of Rome Tor Vergata represented proof of principle of the use of optically-induced dielectrophoresis (ODEP) analysis for the classification of patient-derived endometrial stromal cells, which could be exploited to help clinicians to stratify patients experiencing reproductive failure.

Fraunhofer IAF has developed a monolithic bidirectional switch with a blocking voltage of 1200 V using its GaN-on-insulator technology. The switch contains two free-wheeling diodes and can deliver performance and efficiency benefits in bidirectional chargers and drives for electric vehicles as well as in systems for generating and storing renewable energy. The results will be presented together with other developments in power electronics from May 6 to 8, 2025, at PCIM Europe in Nuremberg.

In a landmark advance in microsensor technology, researchers have unveiled an ultra-sensitive gas detection method using surface acoustic wave (SAW) sensors enhanced by the physics of exceptional points (EPs).

Donostia / San Sebastian. 29 April, 2025. An international team of researchers led by Ignacio Arganda (University of the Basque Country - UPV/EHU, Ikerbasque, Donostia International Physics Centre, and the Biofisika Institute) and Arrate Muñoz-Barrutia (University of Madrid Carlos III, Gregorio Marañón Health Research Institute) has developed BiaPy, an open-code artificial intelligence platform that facilitates the analysis of biomedical images using deep learning techniques. The work has been published in the prestigious journal Nature Methods.