Mario De Florio

According to our database, Mario De Florio authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Physics-Informed Neural Networks for 2nd order ODEs with sharp gradients.

Mario De Florio, Enrico Schiassi, Francesco Calabrò, Roberto Furfaro

J. Comput. Appl. Math., January, 2024

Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology.

Mario De Florio, Zongren Zou, Daniele E. Schiavazzi, George Em Karniadakis

CoRR, 2024

Analysis of biologically plausible neuron models for regression with spiking neural networks.

Mario De Florio, Adar Kahana, George Em Karniadakis

CoRR, 2024

2023

AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression.

Mario De Florio, Ioannis G. Kevrekidis, George Em Karniadakis

CoRR, 2023

AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification.

Nazanin Ahmadi Daryakenari, Mario De Florio, Khemraj Shukla, George Em Karniadakis

CoRR, 2023

2022

Physics-Informed Neural Networks and Functional Interpolation for Initial Value Problems with Applications to Integro-Differential and Stiff Differential Equations.

Mario De Florio

PhD thesis, 2022

2021

Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations.

Enrico Schiassi, Roberto Furfaro, Carl Leake, Mario De Florio, Hunter Johnston, Daniele Mortari

Neurocomputing, 2021

2020

Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations.

Enrico Schiassi, Carl Leake, Mario De Florio, Hunter Johnston, Roberto Furfaro, Daniele Mortari

CoRR, 2020