Atomic-scale defects in crystals can make excellent quantum memories that can be written and read out using lasers, and could form the basis of future quantum communications and computing systems.

A recent review article published in Advanced Materials explored the potential of artificial intelligence (AI) and machine learning (ML) in transforming thermoelectric (TE) materials design. The ...

(Nanowerk Spotlight) Scientists have sought to leverage atomic defects to enhance electrocatalytic performance for clean energy applications. However, the inability to precisely study defects' ...

• The underlying migration mechanism of Mg 2+ in cathode materials and roles of defects in Mg 2+ migration in cathode materials were studied. • Applications of defect engineering to Mg 2+ migration in ...

Predicting how continuous microscopic strains alter local bond lengths and hopping energies has required computationally taxing physics simulations, frustrating attempts to efficiently scan the ...

Layered double hydroxides (LDHs) are emerging as promising electrocatalysts for the oxygen evolution reaction (OER), a key barrier in clean hydrogen production. However, their catalytic performance ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...