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