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Kevrekidis’ research interests have always centered around the dynamic behavior of physical, chemical, and biological processes; the types of instabilities they exhibit; the patterns they form; and their computational study. More recently, he has developed an interest in multiscale computations and the modeling of complex systems. Along with several students and collaborators, he developed what he calls the “equation-free” approach to complex systems modeling, explored its capabilities in several areas, and is now working on linking it with modern data mining/machine learning techniques in what could be called an “equation-free and variable-free” approach.
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Thomas J Hardin,Michael Chandross, Rahul Meena, Spencer Fajardo,Dimitris Giovanis,Ioannis Kevrekidis,Michael L Falk,Michael D Shields
Nature communicationsno. 1 (2024): 4424-4424
CoRR (2024)
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Eleni D. Koronaki,Nikolaos Evangelou, Cristina P. Martin-Linares,Edriss S. Titi,Ioannis G. Kevrekidis
Journal of Computational Physics (2024): 112910
Gianluca Fabiani,Nikolaos Evangelou, Tianqi Cui,Juan M Bello-Rivas, Cristina P Martin-Linares,Constantinos Siettos,Ioannis G Kevrekidis
Nature communicationsno. 1 (2024): 4117-4117
Hector Vargas Alvarez,Gianluca Fabiani,Ioannis G. Kevrekidis,Nikolaos Kazantzis,Constantinos Siettos
CoRR (2024)
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Aaron Mahler,Tyrus Berry, Tom Stephens,Harbir Antil, Michael Merritt, Jeanie Schreiber,Ioannis Kevrekidis
COMPUTERS & CHEMICAL ENGINEERING (2024)
Paris Papavasileiou, Dimitrios G. Giovanis,Gabriele Pozzetti, Martin Kathrein, Christoph Czettl,Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas,Eleni D. Koronaki
arxiv(2024)
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