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Five years ago, Fanyang Mo's research team, hailing from the School of Materials Science and Engineering, as well as the School of Intelligence Science and Technology at Peking University, embarked on a journey to delve into the application of artificial intelligence within the realm of synthetic chemistry research. Since 2022, with a keen focus on the pivotal scientific challenges in chromatography separation, the team has made significant strides. They have developed an automated experimental platform dedicated to chromatography, constructed a predictive model tailored for chromatography separation, and harnessed the power of machine learning to model separation behaviors under varying chromatography conditions. Through these efforts, they have successfully achieved the swift optimization of chromatography conditions.
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