Design method of ion chromatograph based on generative artificial intelligence
To improve the efficiency of ion chromatograph design,an ion chromatograph design method was proposed based on generative artificial intelligence.An image dataset was built through data collection tools.The generative models were used to in-telligently infer image features to obtain feature data of image samples.Big language modeling tools were used to analyze and process the obtained feature data.The classification data of ion chromatography modeling features were constructed through word frequency statistics and semantic analysis.A design scheme dataset was constructed using a diffusion model based on feature de-scription.An evaluation was performed using the iteratively optimized intelligent generation scheme.The results showed that the design scheme passed the satisfaction evaluation in terms of modeling.The combination of big data intelligent reasoning and intel-ligent generative design could improve the issues of research and design cycle of ion chromatographs,and provide references for the intelligent generative design of similar scientific instruments.
ion chromatographintelligent generative designdiffusion modellarge language model