Electron transfer between atomically thin materials triggers the ultrafast release of heat.
Scientists learn how to manipulate quantum properties in graphene to create resistance-free, electricity channels for loss-free future electronics.
Machine learning and artificial intelligence accelerate nanomaterials investigations.
New algorithms allow real-time interactive data processing at 10X previous rates for electron microscopy data.
A tungsten carbide catalyst can produce a hydrocarbon from carbon dioxide at high rates and high efficiency.
A graphene-insulator coating enables scientists to tune the energy required to liberate electrons from semiconductors.
Using two methods is better than one when it comes to observing how solar cells form and improving cell properties.
Study finds atomic-scale ordering of elements in a metallic alloy that is responsible for alloy’s increased strength.
Using cold temperatures and machine learning, researchers visualized individual molecules in a synthetic soft material for the first time.
A team of Molecular Foundry researchers directly visualized and measured excitons hopping across very long distances.
State-of-the-art techniques expand scientists’ fundamental understanding of heavy element 99, Einsteinium.
Synthetic materials can be engineered to recognize potential pathogens.
