From data-driven differential equations to mechanistic forecasting with machine learning

Amit K. Chakraborty, Hao Wang, Pouria Ramazi

Open source

DOI: 10.1098/rsif.2026.0240
Published: 2026-11-04
Container: Journal of the Royal Society Interface
Publisher: The Royal Society
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1098/rsif.2026.0240,
  title = {From data-driven differential equations to mechanistic forecasting with machine learning},
  author = {Amit K. Chakraborty and Hao Wang and Pouria Ramazi},
  year = {2026},
  journal = {Journal of the Royal Society Interface},
  doi = {10.1098/rsif.2026.0240},
  url = {https://doi.org/10.1098/rsif.2026.0240}
}

RIS

TY  - JOUR
TI  - From data-driven differential equations to mechanistic forecasting with machine learning
AU  - Amit K. Chakraborty
AU  - Hao Wang
AU  - Pouria Ramazi
PY  - 2026
JO  - Journal of the Royal Society Interface
DO  - 10.1098/rsif.2026.0240
UR  - https://doi.org/10.1098/rsif.2026.0240
ER  -

APA

Chakraborty, A. K., Wang, H., & Ramazi, P. (2026). From data-driven differential equations to mechanistic forecasting with machine learning. Journal of the Royal Society Interface. https://doi.org/10.1098/rsif.2026.0240

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crossref · retrieved 2026-11-05T09:55:36.848Z