A common approach to the computation of coarse-scale steady states and to consistent initialization on a slow manifold. - Christophe Vandekerckhove; Benjamin Sonday; Alexei Makeev; Dirk Roose; Ioannis G. Kevrekidis (Comput. Chem. Eng., 2011)

A hybrid stochastic-deterministic algorithm for lattice-gas models of catalytic reactions and the computation of TPD spectra. - Alexei Makeev; Ioannis G. Kevrekidis (Comput. Chem. Eng., 2014)

Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. - Felix Dietrich; Alexei Makeev; George Kevrekidis; Nikolaos Evangelou; Tom Bertalan; Sebastian Reich; Ioannis G. Kevrekidis (CoRR, 2021)

Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling. - Nikolaos Evangelou; Tianqi Cui; Juan M. Bello-Rivas; Alexei Makeev; Ioannis G. Kevrekidis (CoRR, 2023)