Scientists hone long-range forecasting of US tornadoes, hail
Peer-Reviewed Publication
New research identifies three specific orientations of atmospheric phenomena occurring near the equator over the Maritime continent that increase the probability of severe U.S. weather events three to four weeks later.
University of Central Florida researchers are developing new photonic materials that could one day help enable low power, ultra-fast, light-based computing. The unique materials, known as topological insulators, are like wires that have been turned inside out, where the current runs along the outside and the interior is insulated. In their latest work, published in the journal Nature Materials, the researchers demonstrated a new approach to create the materials that uses a novel, chained, honeycomb lattice design.
A unique new instrument, coupled with a powerful telescope and a little help from nature, has given researchers the ability to peer into galactic nurseries at the heart of the young universe.
The 27th North American Meeting of the North American Catalysis Society (NAM27), the premier scientific event in the field of catalysis research and development in 2022, will be held May 22-27, 2022 (Hilton Midtown, Manhattan, NY, USA). The meeting is a forum for the discussion of relevant technological issues and cutting-edge research on catalysis. Catalysts are materials that accelerate chemical reactions for manufactured products (energy, chemicals, sustainable energy and green chemicals, environmental solutions and pharmaceuticals) that are related to approximately 25 percent of USA GDP and play a significant role in the economies of other developed countries. The meeting will focus on technological challenges, breakthrough discoveries, and state-of-the-art research in catalysis.
A theoretical framework by Rice University scientists shows how to increase the odds of identifying cancer-causing mutations before tumors take hold. They demonstrate that only a few energetically favorable pathways are likely to lead to cancer.
Researchers from the Harvard and MIT developed a new method for designing large-scale metasurfaces that uses techniques of machine intelligence to generate designs automatically. The method will enable new metasurface designs that can make an impact on virtual or augmented reality, self-driving cars, and machine vision for embarked systems and satellites.
Harnessing the power of “phase-change” materials, Georgia Tech researchers have demonstrated how reconfigurable metasurfaces — artificial materials with extraordinary optical properties — are crucial to the future of nanotechnology.
Ovarian cancer kills 14,000 women in the United States every year. It’s the fifth leading cause of cancer death among women, and it’s so deadly, in part, because the disease is hard to catch in its early stages. Patients often don’t experience symptoms until the cancer has begun to spread, and there aren’t any reliable screening tests for early detection. A team of researchers is working to change that. The group includes investigators from Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine, the University of Maryland, the National Institutes of Standards and Technology, and Lehigh University. Two recent papers describe their advancements toward a new detection method for ovarian cancer. The approach uses machine learning techniques to efficiently analyze spectral signatures of carbon nanotubes to detect biomarkers of the disease and to recognize the cancer itself.
Crafty hackers can make a tool to eavesdrop on some 6G wireless signals in as little as five minutes using office paper, an inkjet printer, a metallic foil transfer and a laminator. The research by Rice University and Brown University engineers will be presented at a wireless security conference in San Antonio this week, giving carriers and equipment makers time to incorporate defenses before 6G terahertz networks are deployed.
Engineering researchers have developed a new approach for implementing ransomware detection techniques, allowing them to detect a broad range of ransomware far more quickly than previous systems.