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 Canadian Journal of Economics / Revue canadienne d'Economique, Vol. 50, No. 3 (August / Août 2017), pp. 804-837 (34 pages) This paper studies the costs and benefits of fixed and flexible exchange ...
Using 35 years of data from the Current Population Survey we decompose fluctuations in real median weekly earnings growth into the part driven by movements in the intensive margin-wage growth of ...
Pakistan Economic and Social Review, Vol. 55, No. 2 (Winter 2017), pp. 315-336 (22 pages) This paper empirically examines the effectiveness of the dismantling of the Agreement on Textiles and Clothing ...
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 ...
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