Yannis G. Kevrekidis is a chemical engineer whose research connects dynamical systems, multiscale modeling and machine learning. His institutional research description emphasizes how interactions at small scales produce larger-scale patterns, instabilities and dynamics in physical, chemical and biological systems.[ref]
With collaborators he developed equation-free modeling, in which detailed simulations are used to investigate coarse-scale behaviour even when a closed equation for the coarse variables is unavailable. The motivating distinction is between possessing a simulator of microscopic dynamics and possessing a compact equation for a few large-scale observables. This places numerical analysis, the choice of state variables and the extraction of useful descriptions at the centre of multiscale modeling.[ref]
Research profile of Yannis G. Kevrekidis. Equation-free modeling and its connections with modern machine learning
Portrait of Yannis G. Kevrekidis
. Portrait identified on the Johns Hopkins University profile. New to topics? Read the docs here!
