Researchers at the Beckman Institute have developed a new variation of an infrared microscope with analytical capabilities, rendering it effective for probing the chemical conformations of biomolecules. Their work was published in Analytical Chemistry and featured on the cover.
A research group led by KAUST Associate Professor Andrea Fratalocchi has discovered that silicon nanoshapes act as feed-forward neural networks with the ability to be trained in a supervised learning model to perform user-defined tasks at lightspeed. The new flat optics opens the door to a major technological revolution by offering small, cheap, flexible alternatives to current processors and to an entirely new generation of devices.
University of Tsukuba and Institute of High Pressure Physics scientists mapped the spin-density distribution of electrons travelling through a molybdenum disulfide transistor cooled to almost absolute zero. This work may help advance the field of spin-based electronics that would be faster and more efficient compared with current devices.
COSMIC, a multipurpose X-ray instrument at Berkeley Lab's Advanced Light Source, has made headway in the scientific community since its launch less than 2 years ago, with groundbreaking contributions in fields ranging from batteries to biominerals.
Japanese researchers performed computation of reaction kinetic information from first-principles calculations based on quantum mechanics, and developed methods and programs to carry out kinetic simulations without using experimental kinetic results. This method is expected to accelerate search for various materials to achieve a carbon-free society.
Ionization of water molecules by light generates free electrons in liquid water. After generation, the so-called solvated electron is formed, a localized electron surrounded by a shell of water molecules. Researches at the Max Born Institute, Berlin, have now shown that the electron and its water shell display strong oscillations in the ultrafast localization process, giving rise to terahertz emission for tens of picoseconds.
A POSTECH joint research team demonstrates highly efficient 3D nano-imaging with XFEL and machine learning.
UC San Diego scientists have created new brain maps featuring unprecedented detail. The insights provided by the new maps are helping answer questions about blood supply and how more active parts of the brain are kept nourished versus less demanding areas.
Osaka University researchers virtually screened over 200,000 pairs of molecules for use in photovoltaic cells based on a machine learning algorithm, and synthesized a device predicted to have high efficiency. This work may lead to advances in the discovery of new functional materials.
Multiscale coarse-grained model of complete SARS-CoV-2 virion developed for first time using supercomputers. Cooperative motion of coronavirus spike protein simulations likely informative of how virus explores and detects ACE2 receptors of potential host cell. Frontera supercomputer at TACC generated all-atom simulations of coronavirus spike protein system that fed into coarse-grained model. Whole coronavirus model provides iterative platform useful for design of safer, better medicines to treat and prevent COVID-19.