Researchers Mostafa Bedewy, at the University of Pittsburgh Swanson School of Engineering, and Ahmed Aziz Ezzat, at Rutgers University, have received a $549,947 collaborative National Science Foundation (NSF) grant to study new ways of controlling the formation of alumina-supported iron nanoparticles by using machine learning (ML) to efficiently model, characterize, simulate, and predict their growth. Their research seeks to advance understanding of these particles to improve nanomanufacturing.

A sweeping new analysis finds that rising global temperatures will dampen the world’s capacity to produce food from most staple crops, even after accounting for economic development and adaptation by farmers.

Researchers at ETH Zurich and Empa have developed a new image sensor made of perovskite. This semiconductor material enables better colour reproduction and fewer image artefacts with less light. Perovskite sensors are also particularly well suited for machine vision.

Fraunhofer IAF is presenting the latest version of its compact integrated quantum magnetometer at World of Quantum in Munich. The diamond-based system is characterized by its robustness, high integration density, and state-of-the-art measurement sensitivity. Thanks to its easy calibration, high sensitivity of a few picotesla, and high dynamic range, it offers new measurement possibilities for a wide range of applications in biomedicine, materials testing, navigation, and geology.