Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Alessandro Butté"'
Autor:
Harini Narayanan, Moritz von Stosch, Fabian Feidl, Michael Sokolov, Massimo Morbidelli, Alessandro Butté
Publikováno v:
Frontiers in Chemical Engineering, Vol 5 (2023)
Process models are mathematical formulations (essentially a set of equations) that try to represent the real system/process in a digital or virtual form. These are derived either based on fundamental physical laws often combined with empirical assump
Externí odkaz:
https://doaj.org/article/165e187ac86549f5aa0ef14dc9da20cd
Publikováno v:
CHIMIA, Vol 63, Iss 1-2 (2009)
Externí odkaz:
https://doaj.org/article/2d6d864a6e7e4fb9a6d3b16c2b263792
Autor:
Tim Forster, Daniel Vázquez, Mariano Nicolas Cruz-Bournazou, Alessandro Butté, Gonzalo Guillén-Gosálbez
Mathematical modeling helps guide experiments more effectively, support process monitoring and control tasks, stabilize product quality, increase consumer safety, or ease specific decision-making tasks for subject matter experts. However, constructin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe0edecccac3af88528f51f58002864
Publikováno v:
Biotechnology and Bioengineering. 118:4389-4401
To date, a large number of experiments are performed to develop a biochemical process. The generated data is used only once, to take decisions for development. Could we exploit data of already developed processes to make predictions for a novel proce
Autor:
Michael Sokolov, Massimo Morbidelli, Alessandro Butté, Harini Narayanan, Paolo Arosio, Martin F. Luna
Publikováno v:
Industrial & Engineering Chemistry Research. 60:10466-10478
Hybrid modeling, meaning the integration of data-driven and knowledge-based methods, is quickly gaining popularity among many research fields, including bioprocess engineering and development. Recently, the data-driven part of hybrid methods have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e93d0949474eea142ddc9c4a666bd9b
Autor:
Massimo Morbidelli, Michael Sokolov, Lars Behle, Gonzalo Guillén-Gosálbez, Alessandro Butté, Martin F. Luna, Harini Narayanan
Publikováno v:
Biotechnology and Bioengineering. 117:2703-2714
In a decade when Industry 4.0 and quality by design are major technology drivers of biopharma, automated and adaptive process monitoring and control are inevitable requirements and model-based solutions are key enablers in fulfilling these goals. Des
Autor:
Caterina Ruggeri, Hervé Broly, Moritz Wolf, Fabian Feidl, Massimo Morbidelli, Sebastian Vogg, Matevz Podobnik, Alessandro Butté, Nicole Ulmer, Ruben Wälchli, Jonathan Souquet
Publikováno v:
Biotechnology and Bioengineering. 117:1367-1380
Integrated continuous manufacturing is entering the biopharmaceutical industry. The main drivers range from improved economics, manufacturing flexibility, and more consistent product quality. However, studies on fully integrated production platforms
Publikováno v:
Current Opinion in Chemical Engineering
Digital twins (DTs) represent a vividly emerging technology in the manufacturing industry strongly motivated by the goals of industry 4.0. It strives for smart factories with completely interconnected devices and data archives as well as their automa
Autor:
Harini Narayanan, Thomas Egebjerg, Paolo Arosio, Michael Sokolov, Alessandro Butté, Jais Rose Bjelke, Itzel Condado Morales, Nikolai Lorenzen, Fabian Dingfelder, Bhargav Patel, Kristine Enemærke Heding
Publikováno v:
Molecular pharmaceutics. 18(10)
In addition to activity, successful biological drugs must exhibit a series of suitable developability properties, which depend on both protein sequence and buffer composition. In the context of this high-dimensional optimization problem, advanced alg