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ORCIDE. D. Koronaki
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Journal Articles
- 2025
[j8]Paris Papavasileiou
, Dimitrios G. Giovanis, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas, Eleni D. Koronaki:
Integrating supervised and unsupervised learning approaches to unveil critical process inputs. Comput. Chem. Eng. 192: 108857 (2025)- 2024
- [j7]Eleni D. Koronaki, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis:
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. J. Comput. Phys. 506: 112910 (2024) - 2023
- [j6]Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis:
From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics. Comput. Chem. Eng. 178: 108357 (2023) - [j5]Paris Papavasileiou, Eleni D. Koronaki, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Andreas G. Boudouvis, Stéphane P. A. Bordas:
Equation-based and data-driven modeling strategies for industrial coating processes. Comput. Ind. 149: 103938 (2023) - 2021
- [j4]Rowan Spencer, Pavlos A. Gkinis, E. D. Koronaki, Dimitrios I. Gerogiorgis, Stéphane P. A. Bordas, Andreas G. Boudouvis:
Investigation of the chemical vapor deposition of Cu from copper amidinate through data driven efficient CFD modelling. Comput. Chem. Eng. 149: 107289 (2021) - 2019
- [j3]E. D. Koronaki, Pavlos A. Gkinis, Lars A. A. Beex, Stéphane P. A. Bordas, Constantinos Theodoropoulos, Andreas G. Boudouvis:
Classification of states and model order reduction of large scale Chemical Vapor Deposition processes with solution multiplicity. Comput. Chem. Eng. 121: 148-157 (2019) - 2011
- [j2]Nikolaos Cheimarios, E. D. Koronaki, Andreas G. Boudouvis:
Enabling a commercial computational fluid dynamics code to perform certain nonlinear analysis tasks. Comput. Chem. Eng. 35(12): 2632-2645 (2011) - 2003
- [j1]E. D. Koronaki, Andreas G. Boudouvis, Ioannis G. Kevrekidis:
Enabling stability analysis of tubular reactor models using PDE/PDAE integrators. Comput. Chem. Eng. 27(7): 951-964 (2003)
Informal and Other Publications
- 2024
- [i9]Eleni D. Koronaki, Luise F. Kaven, Johannes M. M. Faust, Ioannis G. Kevrekidis, Alexander Mitsos:
Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy. CoRR abs/2403.08376 (2024) - [i8]Paris Papavasileiou, Dimitrios G. Giovanis, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas, Eleni D. Koronaki:
Integrating supervised and unsupervised learning approaches to unveil critical process inputs. CoRR abs/2405.07751 (2024) - [i7]Geremy Loachamín Suntaxi, Paris Papavasileiou, Eleni D. Koronaki, Dimitrios G. Giovanis, Georgios Gakis, Ioannis G. Aviziotis, Martin Kathrein, Gabriele Pozzetti, Christoph Czettl, Stéphane P. A. Bordas, Andreas G. Boudouvis:
Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis. CoRR abs/2405.18444 (2024) - [i6]David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis:
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR abs/2406.06812 (2024) - [i5]George A. Kevrekidis, Eleni D. Koronaki, Yannis G. Kevrekidis:
Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation. CoRR abs/2408.15344 (2024) - [i4]Eleni D. Koronaki, Geremy Loachamín Suntaxi, Paris Papavasileiou, Dimitrios G. Giovanis, Martin Kathrein, Andreas G. Boudouvis, Stéphane P. A. Bordas:
Implementing LLMs in industrial process modeling: Addressing Categorical Variables. CoRR abs/2409.19097 (2024) - 2023
- [i3]Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis:
From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics. CoRR abs/2301.11728 (2023) - [i2]Cristina P. Martin-Linares, Yorgos M. Psarellis, Georgios Karapetsas, Eleni D. Koronaki, Ioannis G. Kevrekidis:
Physics-agnostic and Physics-infused machine learning for thin films flows: modeling, and predictions from small data. CoRR abs/2301.12508 (2023) - [i1]Eleni D. Koronaki, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis:
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. CoRR abs/2310.15816 (2023)
Coauthor Index
aka: Yannis G. Kevrekidis
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