Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based models to simulate large-scale ...
A research team from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences, along with collaborators from the Institute National de la Recherche Scientifique, Canada, and Northwest ...
Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods. The term "gentrification" ...
Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, fluid motion and observed data, hundreds of these models agree that more carbon dioxide in the atmosphere ...
Gene regulation is far more predictable than previously believed, scientists conclude after developing the deep learning model PARM. This might bring an end to a scientific mystery: how genes know when to switch on or off.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a new method combining deep learning with physical radiative transfer modeling to improve the retrieval ...
Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University of Strathclyde have ...
The cochlea is the spiral-shaped structure within the inner ear responsible for our sense of hearing. To fully understand hearing functions and open the door to new hearing loss treatments, scientists require intricately ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered state, it can form stable imperfections known as topological defects. Such ...
Researchers at Forschungszentrum Jülich and Heinrich Heine University Düsseldorf have developed a tool that could significantly transform genome research: Helixer identifies genes directly from DNA sequences—without laboratory ...
