activity
20022024
most citedCoarse Brownian Dynamics for Nematic Liquid Crystals: Bifurcation Diagrams via Stochastic Simulation

103 citations · 682 across the 48 of their papers we have counts for

collaborators

48 papers

math.NA2024★ 12 cited

GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws

Dimitrios G. Patsatzis, Mario di Bernardo, Lucia Russo +1

We present GoRINNs: numerical analysis-informed (shallow) neural networks for the solution of inverse problems of non-linear systems of conservation laws. GoRINNs is a hybrid/blend…

physics.flu-dyn2024★ 6 cited

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

Alessandro Della Pia, Dimitris Patsatzis, Lucia Russo +1

We use parsimonious diffusion maps (PDMs) to discover the latent dynamics of high-fidelity Navier-Stokes simulations with a focus on the 2D fluidic pinball problem. By varying the…

math.NA2024★ 8 cited

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 Siettos

We present a physics-informed neural network (PINN) approach for the discovery of slow invariant manifolds (SIMs), for the most general class of fast/slow dynamical systems of ODEs…

cs.LG2023★ 1 cited

Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points

Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui +4

We present a machine learning (ML)-assisted framework bridging manifold learning, neural networks, Gaussian processes, and Equation-Free multiscale modeling, for (a) detecting tipp…

math.DS2023★ 13 cited

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

Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo +1

We present a physics-informed machine-learning (PIML) approach for the approximation of slow invariant manifolds (SIMs) of singularly perturbed systems, providing functionals in an…

physics.ao-ph2023

Tipping points in overturning circulation mediated by ocean mixing and the configuration and magnitude of the hydrological cycle: A simple model

Anand Gnanadesikan, Gianluca Fabiani, Jingwen Liu +7

The current configuration of the ocean overturning involves upwelling predominantly in the Southern Ocean and sinking predominantly in the Atlantic basin. The reasons for this rema…