Two-dimensional (2D) semiconductor materials could enable the development of smaller yet highly performing electronic components, thus contributing to the advancement of a variety of devices. While significant strides have been made in the synthesis of 2D semiconductors with advanced electronic properties, their clean transfer onto substrates and reliable integration in real devices has so far proved challenging.

Researchers at Peking University, the Beijing Graphene Institute and other institutes in China have recently developed a new method to integrate 2D semiconductors with dielectric materials, which are insulating materials that help control the flow of electric charge in devices...

The same dirt that clings to astronauts’ boots may one day keep their lights on. In a study publishing April 3 in the Cell Press journal Device, researchers created solar cells made out of simulated Moon dust. The cells convert sunlight into energy efficiently, withstand radiation damage, and mitigate the need for transporting heavy materials into space, offering a potential solution to one of space exploration’s biggest challenges: reliable energy sources.

“The solar cells used in space now are amazing, reaching efficiencies of 30% to even 40%, but that efficiency comes with a price,” says lead researcher Felix Lang of the University of Potsdam, Germany...

New research from The University of Manchester may reshape our understanding of what happens to the immune system when we fast. The study on mice shows that the brain’s hypothalamus controls how the immune system adapts during fasting, through a handful of highly specialized neurons responsible for making animals hungry.

Published in Science Immunology, the study shows the brain’s perception of hunger or fullness, rather than actual eating or caloric restriction, is enough to drive changes in the body’s immune cells.

The findings cast doubt on the current view that a lack of nutrients alone controls how the immune system responds to fasting, indicating the brain has a critical role, beyond the simple absence of food.

By artificially switching on specific brain neurons in mice...

A trio of AI researchers at Google’s Google DeepMind, working with a colleague from the University of Toronto, report that the AI algorithm Dreamer can learn to self-improve by mastering Minecraft in a short amount of time. In their study published in the journal Nature, Danijar Hafner, Jurgis Pasukonis, Timothy Lillicrap and Jimmy Ba programmed the AI app to play Minecraft without being trained and to achieve an expert level in just nine days.

Over the past several years, computer scientists have learned a lot about how deep learning can be used to train AI applications to conduct seemingly intelligent activities such as answering questions...