Entries with tag university of wisconsin madison.

Scientists Develop New Multilayered Superconductive Material

A group of US scientists has developed a multilayered superconducting material they say can be tailored to an application’s specific needs. The group, headed by University of Wisconsin-Madison professor Chang-Beom Eom, used an iron and nitrogen-based material called pnictide, which has a higher effective operating temperature than conventional superconducting materials such as niobium, lead, or mercury. Typically, superconductors work only in very cold conditions. This new material has 24 alternating layers of metal and oxide—pnictide and strontium titanate —placed with atomic precision to form an engineered superlattice, which could work in electronic devices, as well as in transportation, power transmission, generation and storage because they are able to transport large electrical current and produce great magnetic fields. Florida State University and University of Michigan researchers contributed to the work, which appears in the online edition of the journal Nature Materials. (EurekAlert)(University of Wisconsin-Madison)(Nature Materials)
 

Computer Model Predicts Group Conflict


Scientists from the University of Wisconsin-Madison’s Wisconsin Institutes for Discovery have created a computational model to determine individuals’ ability to predict conflict. The researchers examined how much information an individual must remember about previous conflicts to infer what may occur in future events, specifically, whether situation will lead to conflict and how to react. The researchers’ model required 1,000 bits to map the likelihood that a given hypothetical situation would lead to conflict. The researchers say their findings relate to conflict in many biological systems, particularly collective behaviors in groups such as neurons or bird flocks. They say their work also provides insight into how cognitive organisms understand their environments. Their statistical modeling and computational frameworks could also be useful in behavioral science, game theory, and machine learning. The researchers published their results in Proceedings of the National Academy of Sciences. (PhysOrg)(University of Wisconsin-Madison)(Proceedings of the National Academy of Sciences)

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