Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.

Accurately determining atomic structures from spectroscopic data has long posed a challenge, particularly for complex systems, such as shapeless materials. In response, LLNL scientists have introduced ...

Zeolites have unique porous atomic structures and are useful as catalysts, ion exchangers and molecular sieves. It is difficult to directly observe the local atomic structures of the material via ...

Crystallography is the science of analyzing the pattern produced by shining an X-ray beam through a material sample. A powder sample produces a different pattern than solid crystal. One longstanding ...

Researchers have created an innovative method to visualize and analyze atomic structures within specially designed, ultrathin bilayer 2D materials. (Nanowerk News) Researchers with the Oak Ridge ...

Electrochemistry stands at the intersection of materials science, chemistry, and physics, driving transformative advances in sustainable energy conversion, ...

Actin filaments - protein structures critical to living movement from single cells to animals - have long been known to have polarity associated with their physical characteristics, with growing ...

Nearly 150 years after gallium was first discovered and added to the periodic table, scientists at the University of Auckland ...

A new research effort is accelerating imaging techniques to visualize structures of small molecules clearly -- a process once thought impossible. Their discovery unleashes endless potential in ...