Physics-agnostic and physics-infused machine learning for thin films flows: modelling, and predictions from small data von Martin-Linares, Cristina P., Psarellis, Yorgos M., Karapetsas, George, Koronaki, Eleni D., Kevrekidis, Ioannis G.

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Nonlinear manifold learning determines microgel size from Raman spectroscopy von Koronaki, Eleni D., Kaven, Luise F., Faust, Johannes M. M., Kevrekidis, Ioannis G., Mitsos, Alexander

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Investigation of reaction mechanisms in the chemical vapor deposition of al from DMEAA von Psarellis, George M., Aviziotis, Ioannis G., Duguet, Thomas, Vahlas, Constantin, Koronaki, Eleni D., Boudouvis, Andreas G.

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Discovering deposition process regimes: Leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis von Loachamín-Suntaxi, Geremy, 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.

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

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

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Accelerating an inexact Newton/GMRES scheme by subspace decomposition von Pashos, George, Koronaki, Eleni D., Spyropoulos, Antony N., Boudouvis, Andreas G.

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Integrating supervised and unsupervised learning approaches to unveil critical process inputs von Papavasileiou, Paris, Giovanis, Dimitrios G., Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Kevrekidis, Ioannis G., Boudouvis, Andreas G., Bordas, Stéphane P.A., Koronaki, Eleni D.

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

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An efficient chemistry-enhanced CFD model for the investigation of the rate-limiting mechanisms in industrial Chemical Vapor Deposition reactors von Papavasileiou, Paris, Koronaki, Eleni D., Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Boudouvis, Andreas G., Mountziaris, T.J., Bordas, Stéphane P.A.

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On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them von Sroczynski, David W, Dietrich, Felix, Koronaki, Eleni D, Talmon, Ronen, Coifman, Ronald R, Bollt, Erik, Kevrekidis, Ioannis G

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Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation von Kevrekidis, George A, Koronaki, Eleni D, Kevrekidis, Yannis G

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Current-induced wave propagation on surfaces of voids in metallic thin films with high symmetry of surface diffusional anisotropy von Koronaki, Eleni D., Gungor, M. Rauf, Siettos, Constantinos I., Maroudas, Dimitrios

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Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy von Koronaki, Eleni D, Kaven, Luise F, Faust, Johannes M. M, Kevrekidis, Ioannis G, Mitsos, Alexander

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Implementing LLMs in industrial process modeling: Addressing Categorical Variables von Koronaki, Eleni D, Suntaxi, Geremy Loachamin, Papavasileiou, Paris, Giovanis, Dimitrios G, Kathrein, Martin, Boudouvis, Andreas G, Bordas, Stéphane P. A

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Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era von Koronaki, Eleni D, Evangelou, Nikolaos, Martin-Linares, Cristina P, Titi, Edriss S, Kevrekidis, Ioannis G

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

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

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From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics von Koronaki, Eleni D, Evangelou, Nikolaos, Psarellis, Yorgos M, Boudouvis, Andreas G, Kevrekidis, Ioannis G

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Integrating supervised and unsupervised learning approaches to unveil critical process inputs von Papavasileiou, Paris, Giovanis, Dimitrios G, Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Kevrekidis, Ioannis G, Boudouvis, Andreas G, Bordas, Stéphane P A, Koronaki, Eleni D

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