Toggle light / dark theme

Get the latest international news and world events from around the world.

Log in for authorized contributors

How you make it matters: Spintronics device performance tied to atomic interface changes

Spintronics devices will be key to realizing faster and more energy-efficient computers. To give us a better understanding of how to make them, a Kobe University team now showed how different manufacturing techniques influence the material properties of a key component.

Electronic devices could be made more efficient and faster if electrons could carry more information at once. This is the basic idea behind spintronics, where researchers try to use the electrons’ spin in addition to charge in , processing and sensor devices to significantly improve our computers.

One component for such devices is the “,” which may be used, for example, for neuron-like behavior in information processing or in a new type of fast and non-volatile memory. They consist of two ferromagnets, usually a nickel-iron alloy, sandwiching a thin insulating layer such as graphene.

Engineers uncover why tiny particles form clusters in turbulent air

Tiny solid particles—like pollutants, cloud droplets and medicine powders—form highly concentrated clusters in turbulent environments like smokestacks, clouds and pharmaceutical mixers.

What causes these extreme clusters—which make it more difficult to predict everything from the spread of wildfire smoke to finding the right combination of ingredients for more effective drugs—has puzzled scientists.

A University at Buffalo study, published in Proceedings of the National Academy of Sciences, suggests the answer lies within the electric forces between particles.

Advanced AI links atomic structure to quantum tech

A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of artificial intelligence that combines probability theory and neural networks to analyze complex datasets with exceptional efficiency.

The technique reduces the amount of time needed for experiments. It helps researchers explore sample regions widely and rapidly converge on important features that exhibit interesting properties.

“This method makes it possible to study a material’s properties with much greater efficiency,” said ORNL’s Ganesh Narasimha. “Usually, we would need to scan a large region, and then several small regions, and perform spectroscopy, which is very time-consuming. Here, the AI algorithm takes control and does this process automatically and intelligently.”

Psychedelic medicine could revolutionise how we treat mental illness

Depression, anxiety, PTSD and other maladies of the mind are plaguing our societies. Our medicines are now decades old, and their effectiveness is questionable. Around half of those taking antidepressants experience no benefits. Side effects are common, and relapse rates when stopping the pills can reach 80%.

If someone told you we have a remedy with nearly no relapse, no long term side effects, and life-altering potential, wouldn’t you be curious?

Enter Dr. Ayla Selamoglu (Newnham 2016). As a Trinity postdoc endorsed by biotechnologist Prof. Christopher Lowe OBE, her research centres on psychedelic medicine and drug development.

Psychedelic medicine has the potential to revolutionise psychiatry. And the revolution is starting here.


Dr. Ayla Selamoglu is an expert on psychedelic medicine. Her work shows how nature’s most mysterious compounds provide new ways to combat mental illness.

/* */