An algorithm based on levels of metabolites found in a blood sample can accurately predict whether a child is on the Autism spectrum of disorder (ASD), based upon a recent study. The algorithm, developed by researchers at Rensselaer Polytechnic Institute, is the first physiological test for autism and opens the door to earlier diagnosis and potential future development of therapeutics.

  By doping a thermoelectric material with minute amounts of sulfur, a team of researchers has found a path to large improvements in the efficiency of materials for solid-state heating and cooling and waste energy recapture.

Two-dimensional phosphane, a material known as phosphorene, has potential application as a material for semiconducting transistors in ever faster and more powerful computers. But there's a hitch. Many of the useful properties of this material, like its ability to conduct electrons, are anisotropic, meaning they vary depending on the orientation of the crystal.

Researchers Discover New Method for Boosting the Light Output of Green LEDs — A Critical Step Toward the Development of LED Televisions and Displays