Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems.
- DOI
- 10.1038/s41467-024-49411-w
- Published
- 2024 Jun 14
- Container
- Nature communications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-024-49411-w,
title = {Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems.},
author = {Kontolati K and Goswami S and Em Karniadakis G and Shields MD},
year = {2024},
journal = {Nature communications},
doi = {10.1038/s41467-024-49411-w},
url = {https://doi.org/10.1038/s41467-024-49411-w}
}RIS
TY - JOUR TI - Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems. AU - Kontolati K AU - Goswami S AU - Em Karniadakis G AU - Shields MD PY - 2024 JO - Nature communications DO - 10.1038/s41467-024-49411-w UR - https://doi.org/10.1038/s41467-024-49411-w ER -
APA
K, K., S, G., G, E. K., & MD, S. (2024). Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems.. Nature communications. https://doi.org/10.1038/s41467-024-49411-w
Source records
- pubmed · retrieved 2026-09-25T19:38:17.473Z