Bioprocessing in the digital age: the role of process models H Narayanan, MF Luna, M von Stosch, MN Cruz Bournazou, G Polotti, ... Biotechnology journal 15 (1), 1900172, 2020 | 228 | 2020 |
Hybrid‐EKF: Hybrid model coupled with extended Kalman filter for real‐time monitoring and control of mammalian cell culture H Narayanan, L Behle, MF Luna, M Sokolov, G Guillén‐Gosálbez, ... Biotechnology and Bioengineering 117 (9), 2703-2714, 2020 | 75 | 2020 |
Hybrid Models for the simulation and prediction of chromatographic processes for protein capture H Narayanan, T Seidler, MF Luna, M Sokolov, M Morbidelli, A Butté Journal of Chromatography A 1650, 462248, 2021 | 61 | 2021 |
Hybrid models based on machine learning and an increasing degree of process knowledge: Application to capture chromatographic step H Narayanan, M Luna, M Sokolov, P Arosio, A Butté, M Morbidelli Industrial & Engineering Chemistry Research 60 (29), 10466-10478, 2021 | 44 | 2021 |
Combining mechanistic modeling and Raman spectroscopy for monitoring antibody chromatographic purification F Feidl, S Garbellini, MF Luna, S Vogg, J Souquet, H Broly, M Morbidelli, ... Processes 7 (10), 683, 2019 | 39 | 2019 |
Hybrid models based on machine learning and an increasing degree of process knowledge: application to cell culture processes H Narayanan, M Luna, M Sokolov, A Butté, M Morbidelli Industrial & Engineering Chemistry Research 61 (25), 8658-8672, 2022 | 27 | 2022 |
A Bayesian approach to run-to-run optimization of animal cell bioreactors using probabilistic tendency models M Luna, E Martínez Industrial & Engineering Chemistry Research 53 (44), 17252-17266, 2014 | 27 | 2014 |
Modeling of continuous PHA production by a hybrid approach based on first principles and machine learning MF Luna, AM Ochsner, V Amstutz, D von Blarer, M Sokolov, P Arosio, ... Processes 9 (9), 1560, 2021 | 26 | 2021 |
Model based strategies towards protein A resin lifetime optimization and supervision F Feidl, MF Luna, M Podobnik, S Vogg, J Angelo, K Potter, E Wiggin, X Xu, ... Journal of Chromatography A 1625, 461261, 2020 | 20 | 2020 |
Iterative modeling and optimization of biomass production using experimental feedback MF Luna, EC Martínez Computers & Chemical Engineering 104, 151-163, 2017 | 13 | 2017 |
Optimal design of dynamic experiments in the development of cybernetic models for bioreactors MF Luna, EC Martínez Chemical Engineering Research and Design 136, 334-346, 2018 | 9 | 2018 |
Run‐to‐Run Optimization of Biodiesel Production using Probabilistic Tendency Models: A Simulation Study MF Luna, EC Martínez The Canadian Journal of Chemical Engineering 93 (9), 1613-1623, 2015 | 5 | 2015 |
Sequential Bayesian experimental design for process optimization with stochastic binary outcomes MF Luna, EC Martínez Computer Aided Chemical Engineering 43, 943-948, 2018 | 4 | 2018 |
Managing Experimental-Computational Workflows in Robotic Platforms using Directed Acyclic Graphs FM Mione, AN Silva, MF Luna, EC Martinez Computer aided chemical engineering 49, 1495-1500, 2022 | 3 | 2022 |
Model-based run-to-run optimization under uncertainty of biodiesel production MF Luna, EC Martinez Computer Aided Chemical Engineering 32, 103-108, 2013 | 3 | 2013 |
Consistent value creation from bioprocess data with customized algorithms: Opportunities beyond multivariate analysis H Narayanan, M von Stosch, MF Luna, MN Cruz Bournazou, A Butté, ... Process Control, Intensification, and Digitalisation in Continuous …, 2022 | 2 | 2022 |
Online Bayesian Re-design of Parallel Experiments based on Asynchronous Posterior Sampling MF Luna, EC Martínez Computer Aided Chemical Engineering 51, 1111-1116, 2022 | 2 | 2022 |
Diseño de experimentos y modelado para optimización en la industria de procesos MF Luna | 2 | 2016 |
Automated regression of bioreactor models using a Bayesian approach for the operation of robotic platforms M Luna, F Mione, L Kaspersetz, P Neubauer, EC Martinez, ... Available at SSRN, 2024 | 1 | 2024 |
Model-based run-to-run optimization for process development MF Luna, EC Martínez Brazilian Journal of Chemical Engineering 35 (3), 1063-1080, 2018 | 1 | 2018 |