Yingjie Ma, Jing Guo et Richard D. Braatz
Article de revue (2026)
Un lien externe est disponible pour ce document| Renseignements supplémentaires: | GlycoPy is released as an open-source package at https://github. com/eaglema/glycopy, and its application in the glycosylation process is released at https://github.com/eaglema/glycosylation. |
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| Département: | Département de génie chimique |
| Organismes subventionnaires: | National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL), U.S. Department of Commerce, National Institute of Standards and Technology (NIST) |
| Numéro de subvention: | 70NANB17H002, 70NANB20H037 |
| URL de PolyPublie: | https://publications.polymtl.ca/77331/ |
| Titre de la revue: | Computers & Chemical Engineering (vol. 213) |
| Maison d'édition: | Elsevier BV |
| DOI: | 10.1016/j.compchemeng.2026.109726 |
| URL officielle: | https://doi.org/10.1016/j.compchemeng.2026.109726 |
| Date du dépôt: | 09 juin 2026 09:49 |
| Dernière modification: | 09 juin 2026 09:49 |
| Citer en APA 7: | Ma, Y., Guo, J., & Braatz, R. D. (2026). GlycoPy: A CasADi-based python framework for hierarchical modeling, optimization, and control of bioprocesses. Computers & Chemical Engineering, 213, 109726 (11 pages). https://doi.org/10.1016/j.compchemeng.2026.109726 |
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