Dataset Groups Activity Stream 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. BibTex: @dataset{Seungjoon_Lee_and_Yorgos_M_Psarellis_and_Constantinos_I_Siettos_and_Ioannis_G_Kevrekidis_2024, abstract = {A machine-learning framework for the numerical solution of the inverse problem in chemotaxis.}, author = {Seungjoon Lee and Yorgos M. Psarellis and Constantinos I. Siettos and Ioannis G. Kevrekidis}, doi = {10.57702/6ikjkwyy}, institution = {No Organization}, keyword = {'chemotaxis', 'machine learning', 'partial differential equations'}, month = {dec}, publisher = {TIB}, title = {Learning black- and gray-box chemotactic PDEs/closures from agent-based Monte Carlo simulation data}, url = {https://service.tib.eu/ldmservice/dataset/learning-black--and-gray-box-chemotactic-pdes-closures-from-agent-based-monte-carlo-simulation-data}, year = {2024} }
