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Ioannis G. Kevrekidis

johns hopkins university

69H-index
633Paper Count
2.5WCitation Count
Published Papers 161
Publication Date
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Going with the flow to solve for symmetry-driven PDE dynamics with physics-informed neural networks
errNature Communications
IF15.7
err2026-08-05
err0
errOAAI
errMichail E. Kavousanakis; Gianluca Fabiani; Anastasia S. Georgiou; Constantinos Siettos; Panayotis G. Kevrekidis; Ioannis G. Kevrekidis
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Enabling local neural operators to perform equation-free system-level analysis
errNature Machine Intelligence
IF23.9
err2026-07-15
err0
PREAI
errGianluca Fabiani; Hannes Vandecasteele; Somdatta Goswami; Constantinos Siettos; Ioannis G. Kevrekidis
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Next generation equation-free multiscale modelling of crowd dynamics via machine learning
errJournal of Computational Physics
IF3.8
err2026-04-13
err0
PREAI
errHector Vargas Alvarez; Dimitrios G. Patsatzis; Lucia Russo; Ioannis G. Kevrekidis; Constantinos Siettos
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PDE-free mass-constrained learning of complex systems with hidden states
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2026-03-16
err0
errOAAI
errGianmaria Viola; Alessandro Della Pia; Ioannis Kevrekidis; Lucia Russo; Constantinos Siettos
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errSave
Enabling probabilistic learning on manifolds through double diffusion maps
errJournal of Computational Physics
IF3.8
err2026-01-09
err0
PREAI
errDimitris G. Giovanis; Nikolaos Evangelou; Ioannis G. Kevrekidis; Roger G. Ghanem
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Global bifurcations in a damped-driven diatomic granular crystal
errMECHANICS RESEARCH COMMUNICATIONS
IF2.3
err2025-11-01
err0
PREAI
errPozharskiy, D.; Kevrekidis, Ioannis G.; Kevrekidis, Panayotis G.
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Neural chaos: A spectral stochastic neural operator
errJournal of Computational Physics
IF3.8
err2025-07-15
err0
PREAI
errBahador Bahmani; Ioannis G. Kevrekidis; Michael D. Shields
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A resolution independent neural operator
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-06-11
err0
PREAI
errBahador Bahmani; Somdatta Goswami; Ioannis G. Kevrekidis; Michael D. Shields
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Biochemical implementation of acceleration sensing and PIDA control
errNPJ SYSTEMS BIOLOGY AND APPLICATIONS
IF3.5
err2025-04-26
err0
errOAAI
errAlexis, Emmanouil; Espinel-Rios, Sebastian; Kevrekidis, Ioannis G.; Avalos, Jose L.
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From disorganized data to emergent dynamic models: Questionnaires to partial differential equations
errPNAS NEXUS
IF3.8
err2025-01-21
err0
errOAAI
errSroczynski, David W.; Kemeth, Felix P.; Georgiou, Anastasia S.; Coifman, Ronald R.; Kevrekidis, Ioannis G.
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RandONets: Shallow networks with random projections for learning linear and nonlinear operators
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2025-01-01
err3
errOAAI
errFabiani, Gianluca; Kevrekidis, Ioannis G.; Siettos, Constantinos; Yannacopoulos, Athanasios N.
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Integrating supervised and unsupervised learning approaches to unveil critical process inputs
errCOMPUTERS & CHEMICAL ENGINEERING
IF3.9
err2025-01-01
err1
errOAAI
errPapavasileiou, Paris; Giovanis, Dimitrios G.; Pozzetti, Gabriele; Kathrein, Martin; Czettl, Christoph; Kevrekidis, Ioannis G.; Boudouvis, Andreas G.; Bordas, Stephane P. A.; Koronaki, Eleni D.
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On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them
errPNAS NEXUS
IF3.8
err2024-12-06
err0
errOAAI
errSroczynski, David W.; Dietrich, Felix; Koronaki, Eleni D.; Talmon, Ronen; Coifman, Ronald R.; Bollt, Erik; Kevrekidis, Ioannis G.
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Polynomial chaos expansions on principal geodesic Grassmannian submanifolds for surrogate modeling and uncertainty
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-12-01
err0
PREAI
errGiovanis, Dimitris G.; Loukrezis, Dimitrios; Kevrekidis, Ioannis G.; Shields, Michael D.
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errSave
Transport cocktails for cancer therapeutics
errPHYSICAL REVIEW RESEARCH
IF4.2
err2024-08-05
err0
errOAAI
errKavousanakis, Michail E.; Bhatavdekar, Omkar; Bastiaannet, Remco; Kevrekidis, Yannis; Sofou, Stavroula
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Nonlinear manifold learning determines microgel size from Raman spectroscopy
errAICHE JOURNAL
IF4
err2024-06-28
err0
errOAAI
errKoronaki, Eleni D.; Kaven, Luise F.; Faust, Johannes M. M.; Kevrekidis, Ioannis G.; Mitsos, Alexander
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Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-06-01
err3
errOAAI
errKoronaki, Eleni D.; Evangelou, Nikolaos; Martin-Linares, CristinaP.; Titi, Edriss S.; Kevrekidis, Ioannis G.
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errSave
Active learning of ternary alloy structures and energies
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2024-05-30
err1
errOAAI
errDeshmukh, Gaurav; Wichrowski, Noah J.; Evangelou, Nikolaos; Ghanekar, Pushkar G.; Deshpande, Siddharth; Kevrekidis, Ioannis G.; Greeley, Jeffrey
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Revealing the hidden structure of disordered materials by parameterizing their local structural manifold
errNATURE COMMUNICATIONS
IF15.7
err2024-05-24
err0
errOAAI
errHardin, Thomas J.; Chandross, Michael; Meena, Rahul; Fajardo, Spencer; Giovanis, Dimitris; Kevrekidis, Ioannis; Falk, Michael L.; Shields, Michael D.
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Task-oriented machine learning surrogates for tipping points of agent-based models
errNATURE COMMUNICATIONS
IF15.7
err2024-05-15
err5
errOAAI
errFabiani, Gianluca; Evangelou, Nikolaos; Cui, Tianqi; Bello-Rivas, Juan M.; Martin-Linares, Cristina P.; Siettos, Constantinos; Kevrekidis, Ioannis G.
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Research Directions

No research directions
Co-authors
Cooperation Journals
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李菊英 (Ju Li)
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Arnold J. Levine
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George Em Karniadakis
H-index: 130 · Papers: 1.2K
M
Manfred Morari
H-index: 116 · Papers: 964
J
Jerrold E. Marsden
H-index: 114 · Papers: 802
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