Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Skoltech researchers have developed a new method to improve the cathode, a key battery component. They proposed doping the ...

Skoltech scientists conducted a study that advances research on future batteries. Their paper, published in Small, sheds ...

In 2008, a team of UCLA-led scientists proposed a scheme to use a laser to excite the nucleus of thorium atoms to realize extremely accurate, portable clocks. Last year, they realized this ...

Once a testing ground for Soviet weapons, the country is using a unique facility to find materials that withstand plasma that ...

China confirms a huge lithium ore deposit, a strategic find that could strengthen its battery supply chain and disrupt the ...

Graph Neural Networks (GNNs) have gained traction in Graph-based Machine Learning as a Service (GMLaaS) platforms, yet they remain vulnerable to graph-based model extraction attacks (MEAs), where ...

Abstract: Lithium-ion batteries pose a risk of thermal runaway (TR) during operation. Monitoring the temperature distribution within the battery is crucial for ensuring thermal safety and preventing ...

Welcome to another biweekly update on quantum computing. This edition looks at secure hardware tie-ups, hybrid system moves, ...

Abstract: Lithium-ion batteries are currently used in numerous applications, for example in electric vehicles and energy storage systems. Accurately estimating the dynamic behavior is crucial to ...

Carbon-supported single-atom catalysts with metal-N moieties are promising for high-performance lithium–sulfur batteries. In a breakthrough, a team of researchers from Chung-Ang University proposes a ...