Understanding the role of autoencoders for stiff dynamical systems using information theory
- DOI
- 10.1016/j.egyai.2025.100567
- Published
- 2025-09
- Container
- Energy and AI
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.egyai.2025.100567,
title = {Understanding the role of autoencoders for stiff dynamical systems using information theory},
author = {Vijayamanikandan Vijayarangan and Harshavardhana A. Uranakara and Francisco E. Hernández–Pérez and Hong G. Im},
year = {2025},
journal = {Energy and AI},
doi = {10.1016/j.egyai.2025.100567},
url = {https://doi.org/10.1016/j.egyai.2025.100567}
}RIS
TY - JOUR TI - Understanding the role of autoencoders for stiff dynamical systems using information theory AU - Vijayamanikandan Vijayarangan AU - Harshavardhana A. Uranakara AU - Francisco E. Hernández–Pérez AU - Hong G. Im PY - 2025 JO - Energy and AI DO - 10.1016/j.egyai.2025.100567 UR - https://doi.org/10.1016/j.egyai.2025.100567 ER -
APA
Vijayarangan, V., Uranakara, H. A., Hernández–Pérez, F. E., & Im, H. G. (2025). Understanding the role of autoencoders for stiff dynamical systems using information theory. Energy and AI. https://doi.org/10.1016/j.egyai.2025.100567
Source records
- crossref · retrieved 2026-11-11T02:02:07.938Z