Ioannis G Kevrekidis (Ioannis Kevrekidis)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Molecular Dynamics Simulations

Machine Learning

Saccharomyces Cerevisiae

Top Venues

Nature communications

Chaos (Woodbury, N.Y.)

ACS synthetic biology

Journal of mathematical biology

This page only lists publications with an associated author ORCID identifier.

Publications

Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M Bello-Rivas, Cristina P Martin-Linares, Constantinos I Siettos, Ioannis G Kevrekidis
Task-oriented machine learning surrogates for tipping points of agent-based models. Nature communications 15 (1) (2024)
Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M Bello-Rivas, Cristina P Martin-Linares, Constantinos I Siettos, Ioannis G Kevrekidis
Task-oriented machine learning surrogates for tipping points of agent-based models. Nature communications 15 (1) (2024)
Thomas J Hardin, Michael Chandross, Rahul Meena, Spencer Fajardo, Dimitris Giovanis, Ioannis G Kevrekidis, Michael L Falk, Michael D Shields
Revealing the hidden structure of disordered materials by parameterizing their local structural manifold. Nature communications 15 (1) (2024)
Thomas J Hardin, Michael Chandross, Rahul Meena, Spencer Fajardo, Dimitris Giovanis, Ioannis G Kevrekidis, Michael L Falk, Michael D Shields
Revealing the hidden structure of disordered materials by parameterizing their local structural manifold. Nature communications 15 (1) (2024)
Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M Bello-Rivas, Cristina P Martin-Linares, Constantinos I Siettos, Ioannis G Kevrekidis
Task-oriented machine learning surrogates for tipping points of agent-based models. Nature communications 15 (1) (2024)
Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G Kevrekidis
Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning. Chaos (Woodbury, N.Y.) 33 (2) (2023)
Yorgos M Psarellis, Michail E Kavousanakis, Michael A Henson, Ioannis G Kevrekidis
Limits of entrainment of circadian neuronal networks. Chaos (Woodbury, N.Y.) 33 (1) (2023)
Seungjoon Lee, Yorgos M Psarellis, Constantinos I Siettos, Ioannis G Kevrekidis
Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data. Journal of mathematical biology 87 (1) (2023)
Juan M Bello-Rivas, Anastasia Georgiou, Hannes Vandecasteele, Ioannis G Kevrekidis
Gentlest Ascent Dynamics on Manifolds Defined by Adaptively Sampled Point-Clouds. The journal of physical chemistry. B (2023)
Yonggang Yao, Qi Dong, Alexandra H Brozena, Jian Luo, Jianwei John Miao, Miaofang Chi, Chao Wang, Ioannis G Kevrekidis, Zhiyong Jason Ren, Jeffrey P Greeley, Guofeng Wang, Abraham Anapolsky, Liangbing Hu
High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery. Science (New York, N.Y.) 376 (6589) (2022)
Robert J Lovelett, Evan M Zhao, Makoto A Lalwani, Jared E Toettcher, Ioannis G Kevrekidis, Jose L Avalos
Dynamical Modeling of Optogenetic Circuits in Yeast for Metabolic Engineering Applications. ACS synthetic biology 10 (2) (2021)
Hassan Arbabi, Ioannis G Kevrekidis
Particles to partial differential equations parsimoniously. Chaos (Woodbury, N.Y.) 31 (3) (2021)
Thomas N Thiem, Felix P Kemeth, Tom Bertalan, Carlo R Laing, Ioannis G Kevrekidis
Global and local reduced models for interacting, heterogeneous agents. Chaos (Woodbury, N.Y.) 31 (7) (2021)
Evan M Zhao, Makoto A Lalwani, Robert J Lovelett, Sergio A García-Echauri, Shannon M Hoffman, Christopher L Gonzalez, Jared E Toettcher, Ioannis G Kevrekidis, Jose L Avalos
Design and Characterization of Rapid Optogenetic Circuits for Dynamic Control in Yeast Metabolic Engineering. ACS synthetic biology 9 (12) (2020)
Tom Bertalan, Felix Dietrich, Igor Mezić, Ioannis G Kevrekidis
On learning Hamiltonian systems from data. Chaos (Woodbury, N.Y.) 29 (12) (2020)
Seungjoon Lee, Felix Dietrich, George Em Karniadakis, Ioannis G Kevrekidis
Linking Gaussian process regression with data-driven manifold embeddings for nonlinear data fusion. Interface focus 9 (3) (2019)