Autoencoder-based inverse design and surrogate-based optimization of an integrated wet granulation manufacturing process
In pharmaceutical manufacturing, integrating model-based design and optimization can be beneficial for accelerating process development. This study explores the utilization of Machine Learning (ML) techniques as a surrogate model for the optimization of a three-unit wet-granulation based flowsheet m...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | International Journal of Pharmaceutics: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590156724000598 |
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