Patches of color appearing in a swirl of grey representing elements of the brain in a single slice.

Scaling up high-resolution X-ray nanoimaging

A team of researchers has developed a new approach to seeing the intricate structures inside biological tissue in three dimensions. Their method simultaneously reconstructs the three-dimensional sample, the illumination pattern of the X-ray beam and small errors in the sample's position.

 

Gray shapes representing material samples with graphs showing the effect of proton irradiation.

A novel method for increasing reversible structural changes in layered battery cathodes

To reduce the cost of rechargeable battery technology, materials scientists are exploring the potential of more globally abundant materials. Recent results have demonstrated improved recharge capabilities for batteries whose layered cathodes are composed of earth-abundant transition-metal oxides after subjecting said layers to moderate amounts of proton irradiation.

 

Three squares with colored images of data from microscopy and X-ray experiments.

Shining a new light on low-symmetry colloidal crystals

Although low-symmetry crystals exist in nature, their structures and properties are static; this has spurred interest in making synthetic low-symmetry colloidal crystals from nanomaterials with dynamic structures whose properties can be toggled over time. An international team of researchers expanded the potential for this fascinating class of materials.

Illustration of the X-ray experiment setup with a diagram showing the blue and green X-ray data visualization.

Atomic layer growth on a key substrate is more complex than it appears

Complex oxide thin films are considered fundamental for next-generation electronics. New research reveals that even the simple growth of such thin films does not follow the assumed layer-by-layer sequence. 

Images of protein structures with hydrogen bonds.

Using AI tools to enhance virtual screening for covalent drug candidates

High throughput screening of candidate drug structures to inhibit “druggable” targets in disease seems like a perfect application of artificial intelligence. But does AI perform better than the modeling tools we already have? A research team recently published work that aimed to answer this question.

APS PEOPLE & EVENTS

Sep 13 2026 to Sep 18 2026

Sep 14 2026 to Sep 23 2026

Argonne National Laboratory

Oct 27 2026 to Oct 30 2026