Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Boudouvis, Andreas"'
Autor:
Koronaki, Eleni D., Suntaxi, Geremy Loachamin, Papavasileiou, Paris, Giovanis, Dimitrios G., Kathrein, Martin, Boudouvis, Andreas G., Bordas, Stéphane P. A.
Important variables of processes are, in many occasions, categorical, i.e. names or labels representing, e.g. categories of inputs, or types of reactors or a sequence of steps. In this work, we use Large Language Models (LLMs) to derive embeddings of
Externí odkaz:
http://arxiv.org/abs/2409.19097
Autor:
Suntaxi, Geremy Loachamín, Papavasileiou, Paris, Koronaki, Eleni D., Giovanis, Dimitrios G., Gakis, Georgios, Aviziotis, Ioannis G., Kathrein, Martin, Pozzetti, Gabriele, Czettl, Christoph, Bordas, Stéphane P. A., Boudouvis, Andreas G.
This work introduces a comprehensive approach utilizing data-driven methods to elucidate the deposition process regimes in Chemical Vapor Deposition (CVD) reactors and the interplay of physical mechanism that dominate in each one of them. Through thi
Externí odkaz:
http://arxiv.org/abs/2405.18444
Autor:
Papavasileiou, Paris, Giovanis, Dimitrios G., Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Kevrekidis, Ioannis G., Boudouvis, Andreas G., Bordas, Stéphane P. A., Koronaki, Eleni D.
This study introduces a machine learning framework tailored to large-scale industrial processes characterized by a plethora of numerical and categorical inputs. The framework aims to (i) discern critical parameters influencing the output and (ii) gen
Externí odkaz:
http://arxiv.org/abs/2405.07751
Autor:
Koronaki, Eleni D., Evangelou, Nikolaos, Psarellis, Yorgos M., Boudouvis, Andreas G., Kevrekidis, Ioannis G.
Publikováno v:
Computers & Chemical Engineering, Volume 178, 2023
A data-driven framework is presented, that enables the prediction of quantities, either observations or parameters, given sufficient partial data. The framework is illustrated via a computational model of the deposition of Cu in a Chemical Vapor Depo
Externí odkaz:
http://arxiv.org/abs/2301.11728
Autor:
Papavasileiou, Paris, Giovanis, Dimitrios G., Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Kevrekidis, Ioannis G., Boudouvis, Andreas G., Bordas, Stéphane P.A., Koronaki, Eleni D.
Publikováno v:
In Computers and Chemical Engineering January 2025 192
Autor:
Papavasileiou, Paris, Koronaki, Eleni D., Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Boudouvis, Andreas G., Bordas, Stéphane P.A.
Publikováno v:
In Computers in Industry August 2023 149
Autor:
Papavasileiou, Paris, Koronaki, Eleni D., Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Boudouvis, Andreas G., Mountziaris, T.J., Bordas, Stéphane P.A.
Publikováno v:
In Chemical Engineering Research and Design October 2022 186:314-325
The dynamics of gene regulatory networks are often modeled with the assumption of cellular homogeneity. However, this assumption contradicts the plethora of experimental results in a variety of systems, which designates that cell populations are hete
Externí odkaz:
http://arxiv.org/abs/1708.06579
Autor:
Chamakos, Nikolaos T., Kavousanakis, Michail E., Boudouvis, Andreas G., Papathanasiou, Athanasios G.
The complicated dynamics of the contact line of a moving droplet on a solid substrate often hamper the efficient modeling of microfluidic systems. In particular, the selection of the effective boundary conditions, specifying the contact line motion,
Externí odkaz:
http://arxiv.org/abs/1601.06540
Publikováno v:
In Chemical Engineering Journal 15 June 2021 414