You're currently viewing an old version of this dataset. To see the current version, click here.

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

A machine-learning framework for the numerical solution of the inverse problem in chemotaxis.

Data and Resources

Cite this as

Seungjoon Lee, Yorgos M. Psarellis, Constantinos I. Siettos, Ioannis G. Kevrekidis (2024). Dataset: Learning black- and gray-box chemotactic PDEs/closures from agent-based Monte Carlo simulation data. https://doi.org/10.57702/6ikjkwyy

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Author Seungjoon Lee
More Authors
Yorgos M. Psarellis
Constantinos I. Siettos
Ioannis G. Kevrekidis