Researchers develop AI-enhanced spectroscopy solution for rapid water quality sensing
A research team led by Prof. HU Bingliang and Prof. YU Tao from the Xi’an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences has developed the physicochemical-informed spectral Transformer (PIST) model combined with ultraviolet-visible-shortwave near-infrared (UV−vis-SWNIR) spectroscopy for water quality sensing. The study was published in Environmental Science & Technology and was selected as …
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