FACCO, PIERANTONIO
FACCO, PIERANTONIO
Dipartimento di Ingegneria Industriale - DII
On the impact of mechanistic model quality and data availability in hybrid model development
2026 Geremia, M.; Marella, T.; Ardalani, E.; Beyramysoltan, S.; Chattoraj, S.; Facco, P.; Barolo, M.; Bezzo, F.
Design of Dynamic Experiments (DoDE) to optimize the lutein production by Coccomyxa onubensis in a novel high-cell density reactor
2025 Tizzani, Rosaria; Barberi, Gianmarco; Mohamadnia, Sonia; Angelidaki, Irini; Facco, Pierantonio; Sforza, Eleonora
Improved Understanding of Experimental Campaigns in Catalyst Development through machine learning
2025 Tamiazzo, Edoardo; Biasin, Alberto; Facco, Pierantonio
On the Equivalence Between Null Space and Orthogonal Space in Latent Variable Regression Modeling
2025 García‐carrión, Sergio; Sartori, Francesco; Borràs‐ferrís, Joan; Facco, Pierantonio; Barolo, Massimiliano; Ferrer, Alberto
Accelerating pharmaceutical tablet development by transfer of powder compaction equipment across types and scales
2024 Beccaro, Luca; Facco, Pierantonio; Dhenge, Ranjit M.; Khala, Marv J.; Cenci, Francesca; Bezzo, Fabrizio; Barolo, Massimiliano
Bioprocess feeding optimization through in silico dynamic experiments and hybrid digital models—a proof of concept
2024 Barberi, G.; Giacopuzzi, C.; Facco, P.
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance
2024 Zhu, Qiang; Facco, Pierantonio; Zhao, Zhonggai; Barolo, Massimiliano
Data fusion of Raman spectra in MSPC for fault detection and diagnosis in pharmaceutical manufacturing
2024 Jul-Jørgensen, I.; Facco, P.; Gernaey, K. V.; Barolo, M.; Hundahl, C. A.
Hybrid modeling of a biorefinery separation process to monitor short-term and long-term membrane fouling
2024 Arnese Feffin, E.; Facco, P.; Turati, D.; Bezzo, F.; Barolo, M.
On the use of machine learning to generate in-silico data for batch process monitoring under small-data scenarios
2024 Gasparini, L.; Benedetti, A.; Marchese, G.; Gallagher, C.; Facco, P.; Barolo, M.
Predicting drug solubility in organic solvents mixtures: A machine-learning approach supported by high-throughput experimentation
2024 Cenci, F.; Diab, S.; Ferrini, P.; Harabajiu, C.; Barolo, M.; Bezzo, F.; Facco, P.
Productive CHO cell lines selection in biopharm process development through machine learning on metabolomic dynamics
2024 Barberi, G.; Benedetti, A.; Diaz-Fernandez, P.; Sevin, D. C.; Vappiani, J.; Finka, G.; Bezzo, F.; Facco, P.
Systematizing product design by latent-variable modeling – A unifying framework for the formulation and solution of PLS model inversion problems
2024 Arnese-Feffin, Elia; Facco, Pierantonio; Bezzo, Fabrizio; Barolo, Massimiliano
Understanding Fouling in an Industrial Biorefinery Membrane Separation Process by Feature-Oriented Data-Driven Modeling
2024 Arnese-Feffin, Elia; Facco, Pierantonio; Turati, Daniele; Bezzo, Fabrizio; Barolo, Massimiliano
An exploratory model-based design of experiments approach to aid parameters identification and reduce model prediction uncertainty
2023 Cenci, F.; Pankajakshan, A.; Facco, P.; Galvanin, F.
Data-driven tools for the optimization of a pharmaceutical process through its knowledge-driven model
2023 Castaldello, C.; Facco, P.; Bezzo, F.; Georgakis, C.; Barolo, M.
Optimal Indicator-Variable Approach for Trajectory Synchronization in Uneven-Length Multiphase Batch Processes
2023 Sartori, F; Facco, P; Zuecco, F; Bezzo, F; Barolo, M
Data Analytics Can Help Reduce Energy Consumption in the Industrial Manufacturing of Specialty Chemicals
2022 Sartori, F.; Zuecco, F.; Facco, P.; Bezzo, F.; Barolo, M.
Data Augmentation to Support Biopharmaceutical Process Development through Digital Models-A Proof of Concept
2022 Botton, A; Barberi, G; Facco, P
Digital design of new products: accounting for output correlation via a novel algebraic formulation of the latent-variable model inversion problem
2022 Arnese Feffin, E; Facco, P; Bezzo, F; Barolo, M