Natural clay channels show multi-stimuli-responsive ion transport at the angstrom scale
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Oct-2026 00:16 ET (26-Oct-2026 04:16 GMT/UTC)
Manchester researchers have shown that naturally occurring channels inside vermiculite clay can respond to pressure, voltage and pH, controlling ion flow through spaces only a few angstroms high. The findings suggest common layered materials could help researchers study and control ion transport at extremely small scales.
Researchers from CWBE at the University of Bath partnered with Bangor University have launched Global Wastewater Day (GWD), a pioneering international initiative to harness wastewater as an early warning system for public health protection.
A paper by Harvard engineers describes a new way to extend quantum coherence using sound waves.
Published in Nature, researchers at the University of Innsbruck, Austria, have introduced a new quantum method for examining individual molecules. By quantum mechanically amplifying the recoil momentum from a single absorbed photon, the research group led by Philipp Schindler was able to detect and measure that absorption in an individual calcium hydroxide ion.
Microplastics aren’t just a problem for oceans. Researchers found these tiny plastic particles in 95% of sediment samples from a protected freshwater wetland along Florida’s St. Lucie River. Nearly half were fibers, suggesting that synthetic textiles and other everyday materials may be contributing to plastic pollution in the preserve. Concentrations were highest near the river and a flood-control canal, suggesting water movement helps transport and concentrate pollution. Findings from the study underscore the need to address plastic pollution in wetland conservation and stormwater management.
In a world-first experiment conducted across the Wits West Campus in Johannesburg, the researchers showed that information encoded in a special property of light known as topology remains intact even when the laser beam carrying it is strongly distorted by atmospheric turbulence.
Complex mathematical problems, such as combinatorial optimization problems, have wide-ranging industrial applications and require extensive computational resources to solve. Slime molds represent a promising avenue for developing new, efficient computing paradigms to mitigate this issue. However, their physical implementation is still challenging. Now, researchers have developed a new, simpler amoeba-inspired computing model that enables physical implementation across diverse materials and physical phenomena, without compromising optimization performance.