Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data

26 May 2022

Papers citing "Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data"

4 / 4 papers shown

Title
Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems Nicholas Karris Evangelos A. Nikitopoulos Ioannis G. Kevrekidis Seungjoon Lee Alexander Cloninger OT 139 0 0 10 Jan 2025
GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws Dimitrios G. Patsatzis Mario di Bernardo L. Russo Constantinos Siettos AI4CE 50 2 0 29 Oct 2024
RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators Gianluca Fabiani Ioannis G. Kevrekidis Constantinos Siettos A. Yannacopoulos 104 13 0 08 Jun 2024
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling N. Evangelou Tianqi Cui J. M. Bello-Rivas Alexei Makeev Ioannis G. Kevrekidis 65 1 0 01 Nov 2023