In a study published in Advanced Materials, researchers used microscopy and X-ray diffraction techniques to examine the energy landscape of ferroelectric materials and the relationship between their electronic and structural orders.
In a study published in Nature Computational Materials, researchers developed a machine learning technique that combines topology and image processing to visualize 3D micro-structures and characterize features that affect their material properties.
In a study published in ACS Nano, researchers deepened their understanding of photodynamics. Their discoveries could inform design of brighter single photon sources for biological, quantum information and nanophotonic applications.
In a study published in Nano Letters, researchers investigated the underlying mechanisms that allow new graphene and silicon nitride lubricants to reduce friction and save energy in mechanical systems.