Intelligent Chemical Purification Technique Based on Machine Learning

arXiv:2404.09114v1 Announce Type: new
Abstract: We present an innovative of artificial intelligence with column chromatography, aiming to resolve inefficiencies and standardize data collection in chemical separation and purification domain. By developing an automated platform for precise data acquisition and employing advanced machine learning algorithms, we constructed predictive models to forecast key separation parameters, thereby enhancing the efficiency and quality of chromatographic processes. The application of transfer learning allows the model to adapt across various column specifications, broadening its utility. A …

abstract acquisition advanced algorithms artificial artificial intelligence arxiv automated collection column cs.ai cs.lg data data collection domain forecast intelligence intelligent key machine machine learning machine learning algorithms physics.chem-ph platform predictive predictive models type