Enabling stability analysis of tubular reactor models using PDE/PDAE integrators. - E. D. Koronaki; Andreas G. Boudouvis; Ioannis G. Kevrekidis (Comput. Chem. Eng., 2003)

Enabling a commercial computational fluid dynamics code to perform certain nonlinear analysis tasks. - Nikolaos Cheimarios; E. D. Koronaki; Andreas G. Boudouvis (Comput. Chem. Eng., 2011)

Classification of states and model order reduction of large scale Chemical Vapor Deposition processes with solution multiplicity. - E. D. Koronaki; Pavlos A. Gkinis; Lars A. A. Beex; Stéphane P. A. Bordas; Constantinos Theodoropoulos; Andreas G. Boudouvis (Comput. Chem. Eng., 2019)

Investigation of the chemical vapor deposition of Cu from copper amidinate through data driven efficient CFD modelling. - Rowan Spencer; Pavlos A. Gkinis; E. D. Koronaki; Dimitrios I. Gerogiorgis; Stéphane P. A. Bordas; Andreas G. Boudouvis (Comput. Chem. Eng., 2021)

Physics-agnostic and Physics-infused machine learning for thin films flows: modeling, and predictions from small data. - Cristina P. Martin-Linares; Yorgos M. Psarellis; Georgios Karapetsas; Eleni D. Koronaki; Ioannis G. Kevrekidis (CoRR, 2023)

Equation-based and data-driven modeling strategies for industrial coating processes. - Paris Papavasileiou; Eleni D. Koronaki; Gabriele Pozzetti; Martin Kathrein; Christoph Czettl; Andreas G. Boudouvis; Stéphane P. A. Bordas (Comput. Ind., 2023)

From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics. - Eleni D. Koronaki; Nikolaos Evangelou; Yorgos M. Psarellis; Andreas G. Boudouvis; Ioannis G. Kevrekidis (Comput. Chem. Eng., 2023)

Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy. - Eleni D. Koronaki; Luise F. Kaven; Johannes M. M. Faust; Ioannis G. Kevrekidis; Alexander Mitsos (CoRR, 2024)

Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis. - 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 (CoRR, 2024)

On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. - David W. Sroczynski; Felix Dietrich; Eleni D. Koronaki; Ronen Talmon; Ronald R. Coifman; Erik M. Bollt; Ioannis G. Kevrekidis (CoRR, 2024)

Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation. - George A. Kevrekidis; Eleni D. Koronaki; Yannis G. Kevrekidis (CoRR, 2024)

Implementing LLMs in industrial process modeling: Addressing Categorical Variables. - Eleni D. Koronaki; Geremy Loachamín Suntaxi; Paris Papavasileiou; Dimitrios G. Giovanis; Martin Kathrein; Andreas G. Boudouvis; Stéphane P. A. Bordas (CoRR, 2024)

Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. - Eleni D. Koronaki; Nikolaos Evangelou; Cristina P. Martin-Linares; Edriss S. Titi; Ioannis G. Kevrekidis (J. Comput. Phys., 2024)

Implementing NLP in industrial process modeling: Addressing categorical variables. - Eleni D. Koronaki; Geremy Loachamín Suntaxi; Paris Papavasileiou; Dimitrios G. Giovanis; Martin Kathrein; Christoph Czettl; Andreas G. Boudouvis; Stéphane P. A. Bordas (Comput. Chem. Eng., 2025)

Integrating supervised and unsupervised learning approaches to unveil critical process inputs. - Paris Papavasileiou; Dimitrios G. Giovanis; Gabriele Pozzetti; Martin Kathrein; Christoph Czettl; Ioannis G. Kevrekidis; Andreas G. Boudouvis; Stéphane P. A. Bordas; Eleni D. Koronaki (Comput. Chem. Eng., 2025)

Data-Driven, ML-assisted Approaches to Problem Well-Posedness. - Tom Bertalan; George A. Kevrekidis; Eleni D. Koronaki; Siddhartha Mishra; Elizaveta Rebrova; Yannis G. Kevrekidis (CoRR, 2025)