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...Physicalreview a classifying superheavy elements by machine learning sheng gong wei wu fancy qian wang jie liu yu zhao yiheng shen shuo qiang sun and center for applied physics technology bkl memd college of engineering peking university beijing china department materials science massachusetts institute cambridge usa received december published february among the listed in periodic table there are nine mt ds mc rg nh fl lv ts og that have not yet been well studied experimentally because their limited half lives andproduction rates how to classify these further study remains an open question although relativistic quantum mechanical calculations single atoms more accurate reliable than those molecules crystals is no reported solely based on atomic properties using cutting edge techniques we nd relationship between data classication identify should be metals while metalloids ndings only highlight signicance but also challenge conventional belief one can determine characteristics element l...