Showing 20 articles starting at article 361
Categories: Ecology: Trees, Energy: Nuclear
Published Deep neural network to find hidden turbulent motion on the sun
(via sciencedaily.com) Scientists developed a neural network deep learning technique to extract hidden turbulent motion information from observations of the Sun. Tests on three different sets of simulation data showed that it is possible to infer the horizontal motion from data for the temperature and vertical motion. This technique will benefit solar astronomy and other fields such as plasma physics, fusion science, and fluid dynamics.
Published Ushering in safe, low-carbon electricity generated by nuclear fusion
(via sciencedaily.com) Engineers are working to develop a new, economically viable and safe source of low carbon electricity through nuclear fusion.
Published Chaining atoms together yields quantum storage
(via sciencedaily.com) Original source Data stored in spin states of ytterbium atoms can be transferred to surrounding atoms in a crystal matrix.
Published Graphene and an intense laser open the door to the extreme
(via sciencedaily.com) Original source A research team has developed a large-area suspended graphene and irradiated the thinnest graphene target with an ultra-intense laser to realize high-energy ion acceleration. Their findings will be applied to the development of compact, efficient ion accelerators used for cancer treatment, nuclear fusion and so on.