See also stories tagged with Silicon
For everyone whose relationship with mathematics is distant or broken, Jo Boaler, a professor at Stanford Graduate School of Education (GSE), has ideas for repairing it. She particularly wants young people to feel comfortable ...
Polarized light waves spin clockwise or counterclockwise as they travel, with one direction behaving differently than the other as it interacts with molecules. This directionality, called chirality or handedness, could provide ...
A research team collaborated to identify the principle of an eco-friendly energy-based soft mechanoluminescent complex that emits light without batteries. It is expected to be applied in various fields, such as optical sensors, ...
Quantum information science is truly fascinating—pairs of tiny particles can be entangled such that an operation on either one will affect them both even if they are physically separated. A seemingly magical process called ...
Superconductors are materials that can conduct electricity with zero resistance when they are cooled below a certain critical temperature. They have applications in several fields, including magnetic resonance imaging, particle ...
An EPFL research project has developed a method based on machine learning to quickly and accurately search large databases, leading to the discovery of 14 new materials for solar cells.
Rice University engineers have demonstrated a way to control the optical properties of atomic imperfections in silicon material known as T centers, paving the way toward leveraging these point defects for building quantum ...
Longstanding challenges in biomedical research such as monitoring brain chemistry and tracking the spread of drugs through the body require much smaller and more precise sensors. A new nanoscale sensor that can monitor areas ...
Researchers from Oxford University's Department of Physics have made a breakthrough in creating and designing magnetic whirls in membranes that can be seamlessly integrated with silicon. These hurricane-like magnetic whirls, ...
University of Pennsylvania engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing ...
