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.