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Ioannis G. Kevrekidis
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On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability
Numerical simulation of atomic layer deposition for thin deposit formation in a mesoporous substrate
Periodicity Scoring of Time Series Encodes Dynamical Behavior of the Tumor Suppressor p53
Emergent spaces for coupled oscillators
Manifold learning for organizing unstructured sets of process observations
Coarse-scale PDEs from fine-scale observations via machine learning
Manifold learning for parameter reduction
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