Chemistry | Chromatography Deep reinforcement learning for the direct optimization of gradient separations in liquid chromatography. March 5, 2024
Analytical Chemistry | Chemistry A perspective on the use of deep deterministic policy gradient reinforcement learning for retention time modeling in reversed-phase liquid chromatography. December 15, 2023
Bioengineering | Biotechnology Adaptable control policies for variable liquid chromatography columns using deep reinforcement learning. July 12, 2023
Analytical Chemistry Current trends in chromatographic prediction using artificial intelligence and machine learning. June 2, 2023
Bioinformatics | Proteomics A rapid and sensitive single-cell proteomic method based on fast liquid-chromatography separation, retention time prediction and MS1-only acquisition. March 16, 2023
Bioinformatics | Proteomics A transformer architecture for retention time prediction in liquid chromatography mass spectrometry-based proteomics. March 12, 2023
Chemistry | Environmental Science Development of Liquid Chromatographic Retention Index Based on Cocamide Diethanolamine Homologous Series (C()-DEA). November 8, 2022
Chemistry | Pharmacology Prediction of Liquid Chromatographic Retention Time with Graph Neural Networks to Assist in Small Molecule Identification. January 7, 2021
Proteomics Improved Peptide Retention Time Prediction in Liquid Chromatography through Deep Learning. May 14, 2019