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0
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566
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Heymann et al. (2023): Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling
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0
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262
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September 13, 2023
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Tang et al. (2023): Physics-informed neural networks to solve lumped kinetic model for chromatography process
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0
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309
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September 12, 2023
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Ding et al. (2024): Machine learning-based optimization of a multi-step ion exchange chromatography for ternary protein separation
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0
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187
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February 26, 2024
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Rao et al. (2023): High definition simulation of packed bed chromatography
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0
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249
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July 27, 2023
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Püttmann et al. (2013): Fast and accurate parameter sensitivities for the general rate model of column liquid chromatography
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0
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460
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June 4, 2020
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Von Lieres et al. (2010): A fast and accurate solver for the general rate model of column liquid chromatography
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0
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614
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June 4, 2020
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Leweke et al. (2016): Fast arbitrary order moments and arbitrary precision solution of the general rate model of column liquid chromatography with linear isotherm
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0
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458
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Leweke et al. (2018): Chromatography Analysis and Design Toolkit (CADET)
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0
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577
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Zhang et al. (2024): Solving crystallization/precipitation population balance models in CADET, part I: Nucleation growth and growth rate dispersion in batch and continuous modes on nonuniform grids
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2
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262
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February 3, 2024
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Püttmann et al. (2016): Utilizing algorithmic differentiation to efficiently compute chromatograms and parameter sensitivities
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0
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459
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Breuer et al. (2023): Spatial discontinuous Galerkin spectral element method for a family of chromatography models in CADET
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1
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262
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July 8, 2023
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Unit operation models
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2
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239
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May 11, 2023
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Application of CADET into optimization of normal phase HPLC gradients
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2
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283
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May 9, 2023
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Simulations in jupyter notebook fail after error due to bad parameters
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2
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574
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July 9, 2021
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