Dimitrios G. Patsatzis

According to our database, Dimitrios G. Patsatzis authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RANDSMAPs: Random-Feature/multi-Scale Neural Decoders with Mass Preservation.

Dimitrios G. Patsatzis, Alessandro Della Pia, Lucia Russo, Constantinos I. Siettos

CoRR, January, 2026

Next generation equation-free multiscale modelling of crowd dynamics via machine learning.

Hector Vargas Alvarez, Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos

J. Comput. Phys., 2026

2025

Surrogate normal-forms for the numerical bifurcation and stability analysis of navier-stokes flows via machine learning.

Alessandro Della Pia, Dimitrios G. Patsatzis, Gianluigi Rozza, Lucia Russo, Constantinos I. Siettos

CoRR, June, 2025

A Hybrid Neural Network - Polynomial Series Scheme for Learning Invariant Manifolds of Discrete Dynamical Systems.

Dimitrios G. Patsatzis, Nikolaos Kazantzis, Ioannis G. Kevrekidis, Constantinos I. Siettos

CoRR, June, 2025

Elucidating reaction dynamics in a model of human brain energy metabolism.

Dimitrios G. Patsatzis, Efstathios-Al. Tingas, S. Mani Sarathy, Dimitris A. Goussis, Renaud B. Jolivet

PLoS Comput. Biol., 2025

GoRINNs: Godunov-Riemann informed neural networks for learning hyperbolic conservation laws.

Dimitrios G. Patsatzis, Mario di Bernardo, Lucia Russo, Constantinos I. Siettos

J. Comput. Phys., 2025

2024

Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning.

Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos

SIAM J. Sci. Comput., 2024

Slow Invariant Manifolds of Fast-Slow Systems of ODEs with Physics-Informed Neural Networks.

Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos

SIAM J. Appl. Dyn. Syst., 2024

Learning the Latent dynamics of Fluid flows from High-Fidelity Numerical Simulations using Parsimonious Diffusion Maps.

Alessandro Della Pia, Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos

CoRR, 2024

A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs.

Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos

CoRR, 2024

2023

Data-driven control of agent-based models: An Equation/Variable-free machine learning approach.

Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos

J. Comput. Phys., April, 2023