E. D. Koronaki

According to our database, E. D. Koronaki authored at least 14 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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 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

Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation.

George A. Kevrekidis, Eleni D. Koronaki, Yannis G. Kevrekidis

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

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

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

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., October, 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., August, 2023

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

2021

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

2019

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

2011

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

2003

Enabling stability analysis of tubular reactor models using PDE/PDAE integrators.

E. D. Koronaki, Andreas G. Boudouvis, Ioannis G. Kevrekidis

Comput. Chem. Eng., 2003