Researchers have developed a machine learning model to predict never-before-determined material properties from energy loss near-edge structure (ELNES) and X-ray near-edge structure (XANES) spectra.
The past year saw advances in endovascular treatment for acute stroke, speech therapy for aphasia after stroke, and cardiac disease management to prevent stroke. These treatments were characterized by ...
image: Researchers from The University of Tokyo Institute of Industrial Science use a machine learning approach to successfully predict material properties that have never before been determined view ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback