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Our research aim will  devote to the digitization of industrial pharmacy (DIP), focused on the core scientific issues of pharmaceutical industry production process, established a hybrid model based on mechanism and data by means of experiment and simulation, with the help of deep neural network and other technologies, so as to realize the pharmaceutical excipients, active ingredients (API and traditional Chinese medicine extract) needed in the pharmaceutical industry production process (such as grinding, mixing, granulation, tablet pressing, coating, etc.) Finally, the continuous and intelligent pharmaceutical process can be realized by digitizing the working conditions.  Therefore, our group will be work on some beneficial exploration on those fields: database of excipients physical parameters, industrial numeral model with robustness, new drug delivery system and equipment about Solid dosage forms. In our group, students will be fruitful on the systematic professional knowledge learning, the rigorous scientific thinking training, the strong academic atmosphere nurturing, and the good professional career molding. We are welcome the young scientists, who are committed to the development of China's pharmaceutical industry, to join us!

Time: 13:00-14:00, 2020/11/13Location: K921Content: All graduate students and undergraduates of tech...
Time: 13:00-14:00, 2020/10/30Location: K921Content: All graduate students and some of undergraduates...
Time: 12:10-13:10, 2020/11/06Location: K9211. Compressibility and table forming ability of bimodal g...