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A research team at Rice University led by James Tour, the T.T. and W.F. Chao Professor of Chemistry and professor of materials science and nanoengineering, is tackling the environmental issue of efficiently recycling lithium ion batteries amid their increasing use.

The team has pioneered a new method to extract purified active materials from battery waste as detailed in the journal Nature Communications on July 24. Their findings have the potential to facilitate the effective separation and recycling of valuable battery materials at a minimal fee, contributing to a greener production of electric vehicles (EVs).

“With the surge in battery use, particularly in EVs, the need for developing sustainable recycling methods is pressing,” Tour said.

The research provides a unique look at how this matter decoupling proceeds. Astronomers have untangled a messy collision between two massive clusters of galaxies in which the clusters’ vast clouds of dark matter have decoupled from the so-called normal matter...

The LIAMT handheld processor features a window which the user can look through to view fluorescent virus detection signals. Credit: Advanced Science (2024). DOI: 10.1002/advs.202310066

Because of its high accuracy, laboratory-based polymerase chain reaction (PCR) testing is the gold standard for infectious disease diagnostics. However, PCR technology requires highly trained staff and costly equipment, hindering its availability, especially in low-resource settings. New research suggests a different kind of test could be more streamlined without sacrificing performance.

A platform technology developed by researchers at the University of Connecticut uses similar techniques as PCR testing, but within a handheld device rather than several benchtop machines.

In a study publish...

Even the best AI large language models (LLMs) fail dramatically when it comes to simple logical questions. This is the conclusion of researchers from the Jülich Supercomputing Center (JSC), the School of Electrical and Electronic Engineering at the University of Bristol and the LAION AI laboratory.

In their paper posted to the arXiv preprint server, titled “Alice in Wonderland: S...