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Ioannis Kevrekidis
Ioannis Kevrekidis
Sonstige NamenYannis Kevrekidis
Professor, Chemical Engineering & Applied Mathematics
Bestätigte E-Mail-Adresse bei jhu.edu
Titel
Zitiert von
Zitiert von
Jahr
Physics-informed machine learning
GE Karniadakis, IG Kevrekidis, L Lu, P Perdikaris, S Wang, L Yang
Nature Reviews Physics 3 (6), 422-440, 2021
45612021
A data–driven approximation of the koopman operator: Extending dynamic mode decomposition
MO Williams, IG Kevrekidis, CW Rowley
Journal of Nonlinear Science 25, 1307-1346, 2015
20132015
Equation-free, coarse-grained multiscale computation: Enabling mocroscopic simulators to perform system-level analysis
CW Gear, JM Hyman, PG Kevrekidid, IG Kevrekidis, O Runborg, ...
10102003
Diffusion maps, spectral clustering and reaction coordinates of dynamical systems
B Nadler, S Lafon, RR Coifman, IG Kevrekidis
Applied and Computational Harmonic Analysis 21 (1), 113-127, 2006
7002006
Low‐dimensional models for complex geometry flows: Application to grooved channels and circular cylinders
AE Deane, IG Kevrekidis, GE Karniadakis, SA Orszag
Physics of Fluids A: Fluid Dynamics 3 (10), 2337-2354, 1991
6611991
Diffusion maps, spectral clustering and eigenfunctions of Fokker-Planck operators
B Nadler, S Lafon, I Kevrekidis, R Coifman
Advances in neural information processing systems 18, 2005
5982005
Equation‐free: The computer‐aided analysis of complex multiscale systems
IG Kevrekidis, CW Gear, G Hummer
AIChE Journal 50 (7), 1346-1355, 2004
4882004
High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery
Y Yao, Q Dong, A Brozena, J Luo, J Miao, M Chi, C Wang, IG Kevrekidis, ...
Science 376 (6589), eabn3103, 2022
4692022
Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator
Q Li, F Dietrich, EM Bollt, IG Kevrekidis
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (10), 2017
4602017
A kernel-based approach to data-driven Koopman spectral analysis
MO Williams, CW Rowley, IG Kevrekidis
arXiv preprint arXiv:1411.2260, 2014
3952014
Back in the saddle again: a computer assisted study of the Kuramoto–Sivashinsky equation
IG Kevrekidis, B Nicolaenko, JC Scovel
SIAM Journal on Applied Mathematics 50 (3), 760-790, 1990
3781990
Inherent noise can facilitate coherence in collective swarm motion
CA Yates, R Erban, C Escudero, ID Couzin, C Buhl, IG Kevrekidis, ...
Proceedings of the National Academy of Sciences 106 (14), 5464-5469, 2009
3712009
Equation-free multiscale computation: Algorithms and applications
IG Kevrekidis, G Samaey
Annual review of physical chemistry 60, 321-344, 2009
3482009
Diffusion maps, reduction coordinates, and low dimensional representation of stochastic systems
RR Coifman, IG Kevrekidis, S Lafon, M Maggioni, B Nadler
Multiscale Modeling & Simulation 7 (2), 842-864, 2008
3422008
Approximate inertial manifolds for the Kuramoto-Sivashinsky equation: analysis and computations
MS Jolly, IG Kevrekidis, ES Titi
Physica D: Nonlinear Phenomena 44 (1-2), 38-60, 1990
3391990
Data-driven model reduction and transfer operator approximation
S Klus, F Nüske, P Koltai, H Wu, I Kevrekidis, C Schütte, F Noé
Journal of Nonlinear Science 28, 985-1010, 2018
3172018
Projective methods for stiff differential equations: problems with gaps in their eigenvalue spectrum
CW Gear, IG Kevrekidis
SIAM Journal on Scientific Computing 24 (4), 1091-1106, 2003
3172003
“Coarse” stability and bifurcation analysis using time-steppers: A reaction-diffusion example
C Theodoropoulos, YH Qian, IG Kevrekidis
Proceedings of the National Academy of Sciences 97 (18), 9840-9843, 2000
3132000
On the computation of inertial manifolds
C Foias, MS Jolly, IG Kevrekidis, GR Sell, ES Titi
Physics Letters A 131 (7-8), 433-436, 1988
3131988
Identification of distributed parameter systems: A neural net based approach
R González-García, R Rico-Martìnez, IG Kevrekidis
Computers & chemical engineering 22, S965-S968, 1998
2911998
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