AI-enhanced spectroscopy enables rapid water quality sensing

AI-enhanced spectroscopy enables 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. Their study is published in Environmental Science & Technology and was selected as a cover article.

A research team led by Professor Hu Bingliang and Professor Yu Tao of the Xi'an of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences have developed the model of spectral transformer (PIST) informed of the series (UV-vis-Swnir) of the quality quality of quality of the [...]