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.

Enhancing wheat plants’ sugar signalling ability could deliver increased yields of up to 12%, according to researchers from Rothamsted, Oxford University and the Rosalind Franklin Institute in a study published today in the journal Nature Biotechnology. That is an order of magnitude greater than annual yield increases currently being achieved through breeding.  

The study overcomes a decades-old limitation in quantum sensing by a substantial margin.

A pioneering study uncovers crucial immune dynamics in hepatitis B, offering new insights into how immune responses evolve throughout the different clinical phases of Hepatitis B virus (HBV) infection. Researchers analyzed liver and blood samples from patients in various clinical phases—acute hepatitis B (AHB), immune tolerant (IT), immune active (IA), and inactive chronic infection (ICI)—using single-cell RNA and TCR/BCR sequencing. The findings highlight critical immune cell subsets and potential molecular mechanisms that drive disease progression, providing valuable targets for the development of future immunomodulatory therapies.