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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.

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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

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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