A joint team of researchers at CIC nanoGUNE (San Sebastian, Spain) and the Max Planck Institutes of Biochemistry and Plasma Physics (Munich, Germany) report the non-invasive and nanoscale resolved infrared mapping of strain fields in semiconductors.
Researchers from Sweden, Finland, Germany, United Kingdom, Switzerland and the United States have been awarded 3.358.500 euros from the European Commission to study the hazardous effects of engineered nanomaterials on the immune system.
Using two simultaneous light-based probing techniques at the U.S. Department of Energy's Brookhaven National Laboratory, a team of researchers has illuminated important details about a class of enzymes involved in everything from photosynthesis to the regulation of biological clocks.
Northwestern University scientists now offer a promising new weapon - synthetic high-density lipoprotein (HDL), the ?'good' cholesterol - that could help fight chronically high cholesterol levels and the deadly heart disease that often results.
An international team of scientists, among them researchers from the department of Theoretical Condensed Matter Physics of the Universidad Autonoma de Madrid (UAM), present a new method to manipulate atoms.
Under the three-year renewable agreement, Baxter will fund research-collaboration projects at Northwestern. Funding levels for each year may reach approximately $1 million, and Baxter will determine specific project funding levels on a case-by-case basis.
Scientists at U.S. Department of Energy's Argonne National Laboratory used inelastic neutron scattering to show that superconductivity in a new family of iron arsenide superconductors cannot be explained by conventional theories.
Scientists at DuPont and Cornell University have used a simple chemical process to convert 'as grown' mixtures of metallic and semiconducting carbon nanotubes into solely semiconducting carbon nanotubes with electrical characteristics well-suited for plastic electronics.
Researchers have discovered a way to synthesize and control the formation of nanobristles, akin to tiny hairs, into helical clusters and have further demonstrated the fabrication of such highly ordered clusters, built from similar coiled building blocks, over multiple scales and areas.
A powerful computing tool that allows scientists to extract features and patterns from enormously large and complex sets of raw data has been developed by scientists at University of California, Davis, and Lawrence Livermore National Laboratory.