72 citations · 118 across the 7 of their papers we have counts for
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q-bio.QM2022★ 7 cited
Data-driven Discovery of Chemotactic Migration of Bacteria via Machine Learning
Yorgos M. Psarellis, Seungjoon Lee, Tapomoy Bhattacharjee +3
E. coli chemotactic motion in the presence of a chemoattractant field has been extensively studied using wet laboratory experiments, stochastic computational models as well as part…
q-bio.QM2022★ 2 cited
Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data
Seungjoon Lee, Yorgos M. Psarellis, Constantinos I. Siettos +1
We propose a machine learning framework for the data-driven discovery of macroscopic chemotactic Partial Differential Equations (PDEs) -- and the closures that lead to them -- from…