Researchers investigated why hafnium oxide based devices are so promising for memory applications and how the material can be tuned to perform at the desired level. This knowledge could be the base for future mass application in all kind of electronic devices.
Scientists have created the first general-purpose method for using machine learning to predict the properties of new metals, ceramics and other crystalline materials and to find new uses for existing materials, a discovery that could save countless hours wasted in the trial-and-error process of creating new and better materials.
Photoswitch chemistry allows construction of light shapes into structures that have volume and are viewable from 360 degrees, making them useful for biomedical imaging, teaching, engineering, TV, movies, video games and more.
Researchers use computer simulations to discover distinct physics of atomized droplet impact on dry surfaces at the microscopic level, improving understanding needed for spray cooling, inkjet printing and coating.
A novel nanoparticle system can specifically interact with adhesin molecules of a specific E. coli strain and cause agglutination through nanoparticle-bacteria complex. Applying treatment with an alternating magnetic field to such complex caused significant reduction in viability of the targeted bacteria.