Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs

10 March 2022

Papers citing "Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs"

8 / 8 papers shown

Title
Enabling Local Neural Operators to perform Equation-Free System-Level Analysis Gianluca Fabiani H. Vandecasteele S. Goswami Constantinos Siettos Ioannis G. Kevrekidis 176 0 0 05 May 2025
Stability Analysis of Physics-Informed Neural Networks for Stiff Linear Differential Equations Gianluca Fabiani Erik Bollt Constantinos Siettos A. Yannacopoulos 51 0 0 27 Aug 2024
Parallel-in-Time Solutions with Random Projection Neural Networks M. Betcke L. Kreusser Davide Murari 31 1 0 19 Aug 2024
Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology Mario De Florio Zongren Zou Daniele E. Schiavazzi George Karniadakis 31 3 0 13 Aug 2024
RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators Gianluca Fabiani Ioannis G. Kevrekidis Constantinos Siettos A. Yannacopoulos 27 11 0 08 Jun 2024
AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification Nazanin Ahmadi Daryakenari Mario De Florio K. Shukla George Karniadakis 38 31 0 29 Sep 2023
An Extreme Learning Machine-Based Method for Computational PDEs in Higher Dimensions Yiran Wang Suchuan Dong 31 35 0 13 Sep 2023
Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning Hector Vargas Alvarez Gianluca Fabiani Nikolaos K. Kazantzis Constantinos Siettos Ioannis G. Kevrekidis 29 6 0 15 Mar 2023