Inverted perovskite solar cells offer strong potential for scalable, low-cost solar power, but a hidden interface inside the device has limited their performance and durability. Researchers have now ...
Researchers developed a method that gradually adds and removes atoms in simulations, enabling realistic modeling of crystal defects that affect material strength.
Scientists at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new way to determine atomic structures from nanocrystals previously considered unusable, ...
After decades of chasing after a rare hexagonal diamond, a Chinese team says their iteration of the elusive material is the ...
Most materials, especially metals and ceramics, are crystals. Their atoms are arranged in three-dimensional lattices that repeat the same exact pattern, over and over again. But there's a well-known ...
Virtual apertures let researchers isolate and solve atomic structures from individual nanocrystals embedded in dense clusters, providing valuable new data for energy and pharmaceutical applications.
Diamonds are famous for their strength, but scientists have long suspected that another form of diamond might be even harder. Evidence of this was gathered over the past sixty years in meteorite ...
Defect-filled lead-halide perovskites rival silicon solar cells because domain walls inside the material separate and guide charges. Researchers visualized these charge-transport networks using a ...
Tiny crystal “seeds” could solve a hidden flaw in perovskite solar cells—unlocking high efficiency at larger scales.
NYU researchers have found a way to use light to control how microscopic particles assemble into crystals, effectively ...
Key TakeawaysBerkeley Lab scientists developed a new way to determine atomic structures from nanocrystals previously ...
Researchers at Lawrence Berkeley National Laboratory have developed a 4D-STEM workflow that can isolate and solve atomic structures from individual nanocrystals buried inside dense, tangled clusters, ...