Data and Codes: From data-driven differential equations to mechanistic forecasting using machine learning

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Authors: Chakraborty, Amit K.
Cited by: 0

Abstract

This file contains all the data and code for the paper entitled "From data-driven differential equations to mechanistic forecasting using machine learning". Updated 'test_models' folder is available under version-2.

Fields of Study & Subjects

Model Reduction and Neural Networks Control Systems and Identification Neural Networks and Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026
Document type
Dataset