ScienceDaily: Computers & Math News

Researchers have designed and demonstrated a technology that can block cyberattacks from impacting the nation's electric power grid.

Scientists develop algorithms that predict the output of solar cells, easing their integration into existing power grids.

New research found that social influencers are unlikely to change a person's behavior by example. To stimulate a shift in people's thinking, target small groups of people in the outer edge or fringe of a network.

Scientists have created an ultrathin magnet that operates at room temperature. The ultrathin magnet could lead to new applications in computing and electronics -- such as high-density, compact spintronic memory devices -- and new tools for the study of quantum physics.

Autonomous vehicle researchers have tackled navigating a crowded, narrow street, with cars parked on both sides, and not enough space for vehicles traveling in both directions to pass each other.

Researchers have developed a machine learning-based model to predict the characteristics of bonded systems. Using the density of states of the individual component reactants, they have achieved accurate predictions of the binding energy, bond length, number of covalent electrons, and Fermi energy. The broadly applicable model is expected to make a significant contribution to the development of materials such as catalysts and nanowires.