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

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