Software
Below are software packages from our group. We are not responsible for any potential risks or damages by using these packages.Simulated Moving Bed Chromatography
>>>Optimization of simulated moving bed chromatography, Pyomo DAEKensuke Suzuki, Doctoral Student
Reference: Suzuki et al. Journal of Advanced Manufacturing and Processing, e10103, 2021 https://doi.org/10.1002/amp2.10103
Uncertainty quantification, Bayesian estimation
>>>Uncertainty quantification of parameters in chromatographic process model by Bayesian estimation using sequential Monte CarloYota Yamamoto, M.S. March 2021
Reference: Yamamoto et al. Chemical Engineering Research and Design, 175, 223-237, 2021 https://doi.org/10.1016/j.cherd.2021.09.003
Physics informed Neural Network
>>>Parameter estimation for chromatographic process by Physics informed Neural NetworkZou Tao, currently PhD student in 2024
Reference: Zou et al. Journal of Chromatography A, 1730, 16, 465077, 2024 https://doi.org/10.1016/j.chroma.2024.465077
