Dimitrios G. Patsatzis

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
RANDSMAPs: Random-Feature/multi-Scale Neural Decoders with Mass Preservation.
CoRR
Dimitrios G. Patsatzis, Alessandro Della Pia, Lucia Russo, Constantinos I. Siettos
2025 J jnl
A Hybrid Neural Network - Polynomial Series Scheme for Learning Invariant Manifolds of Discrete Dynamical Systems.
CoRR
Dimitrios G. Patsatzis, Nikolaos Kazantzis, Ioannis G. Kevrekidis, Constantinos I. Siettos
2025 J jnl
Elucidating reaction dynamics in a model of human brain energy metabolism.
PLoS Comput. Biol.
Dimitrios G. Patsatzis, Efstathios-Al. Tingas, S. Mani Sarathy, Dimitris A. Goussis, Renaud B. Jolivet
2025 J jnl
GoRINNs: Godunov-Riemann informed neural networks for learning hyperbolic conservation laws.
J. Comput. Phys.
Dimitrios G. Patsatzis, Mario di Bernardo, Lucia Russo, Constantinos I. Siettos
2025 J jnl
Next Generation Equation-Free Multiscale Modelling of Crowd Dynamics via Machine Learning.
CoRR
Hector Vargas Alvarez, Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos
2025 J jnl
Surrogate normal-forms for the numerical bifurcation and stability analysis of navier-stokes flows via machine learning.
CoRR
Alessandro Della Pia, Dimitrios G. Patsatzis, Gianluigi Rozza, Lucia Russo, Constantinos I. Siettos
2024 J jnl
A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs.
CoRR
Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos
2024 J jnl
GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws.
CoRR
Dimitrios G. Patsatzis, Mario di Bernardo, Lucia Russo, Constantinos I. Siettos
2024 J jnl
Learning the Latent dynamics of Fluid flows from High-Fidelity Numerical Simulations using Parsimonious Diffusion Maps.
CoRR
Alessandro Della Pia, Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos
2024 J jnl
Slow Invariant Manifolds of Fast-Slow Systems of ODEs with Physics-Informed Neural Networks.
SIAM J. Appl. Dyn. Syst.
Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos
2024 J jnl
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning.
SIAM J. Sci. Comput.
Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos
2023 J jnl
Data-driven control of agent-based models: An Equation/Variable-free machine learning approach.
J. Comput. Phys.
Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos
2023 J jnl
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning.
CoRR
Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos
2022 J jnl
Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach.
CoRR
Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos