Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Psarellis, Yorgos M."'
Bifurcations mark qualitative changes of long-term behavior in dynamical systems and can often signal sudden ("hard") transitions or catastrophic events (divergences). Accurately locating them is critical not just for deeper understanding of observed
Externí odkaz:
http://arxiv.org/abs/2406.11141
Autor:
Martin-Linares, Cristina P., Psarellis, Yorgos M., Karapetsas, Georgios, Koronaki, Eleni D., Kevrekidis, Ioannis G.
Numerical simulations of multiphase flows are crucial in numerous engineering applications, but are often limited by the computationally demanding solution of the Navier-Stokes (NS) equations. Here, we present a data-driven workflow where a handful o
Externí odkaz:
http://arxiv.org/abs/2301.12508
Autor:
Koronaki, Eleni D., Evangelou, Nikolaos, Psarellis, Yorgos M., Boudouvis, Andreas G., Kevrekidis, Ioannis G.
Publikováno v:
Computers & Chemical Engineering, Volume 178, 2023
A data-driven framework is presented, that enables the prediction of quantities, either observations or parameters, given sufficient partial data. The framework is illustrated via a computational model of the deposition of Cu in a Chemical Vapor Depo
Externí odkaz:
http://arxiv.org/abs/2301.11728
Autor:
Psarellis, Yorgos M.1 (AUTHOR), Lee, Seungjoon2 (AUTHOR), Bhattacharjee, Tapomoy3 (AUTHOR), Datta, Sujit S.4 (AUTHOR), Bello-Rivas, Juan M.1 (AUTHOR), Kevrekidis, Ioannis G.1,5,6 (AUTHOR) yannisk@jhu.edu
Publikováno v:
BMC Bioinformatics. 10/24/2024, Vol. 25 Issue 1, p1-22. 22p.
Steady state multiplicity can occur in nonlinear systems, and this presents challenges to feedback control. Input multiplicity arises when the same steady state output values can be reached with system inputs at different values. Dynamic systems with
Externí odkaz:
http://arxiv.org/abs/2210.01965
Autor:
Psarellis, Yorgos M., Lee, Seungjoon, Bhattacharjee, Tapomoy, Datta, Sujit S., Bello-Rivas, Juan M., Kevrekidis, Ioannis G.
E. coli chemotactic motion in the presence of a chemoattractant field has been extensively studied using wet laboratory experiments, stochastic computational models as well as partial differential equation-based models (PDEs). The most challenging st
Externí odkaz:
http://arxiv.org/abs/2208.11853
Circadian rhythmicity lies at the center of various important physiological and behavioral processes in mammals, such as sleep, metabolism, homeostasis, mood changes and more. It has been shown that this rhythm arises from self-sustained biomolecular
Externí odkaz:
http://arxiv.org/abs/2208.11119
We propose a machine learning framework for the data-driven discovery of macroscopic chemotactic Partial Differential Equations (PDEs) -- and the closures that lead to them -- from high-fidelity, individual-based stochastic simulations of E.coli bact
Externí odkaz:
http://arxiv.org/abs/2205.13545
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.