Optimizing subsurface carbon-energy synergy by balancing diffusion and convection via physics-informed Bayesian learning.
- DOI
- 10.1038/s41598-026-58847-7
- Published
- 2026 Jul 7
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-58847-7,
title = {Optimizing subsurface carbon-energy synergy by balancing diffusion and convection via physics-informed Bayesian learning.},
author = {Li Z and Yang G and Li M and Zhou Y and Du F and Zhou Y and Luo X and Ma Y and Zhao H and Huang L},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-58847-7},
url = {https://doi.org/10.1038/s41598-026-58847-7}
}RIS
TY - JOUR TI - Optimizing subsurface carbon-energy synergy by balancing diffusion and convection via physics-informed Bayesian learning. AU - Li Z AU - Yang G AU - Li M AU - Zhou Y AU - Du F AU - Zhou Y AU - Luo X AU - Ma Y AU - Zhao H AU - Huang L PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-58847-7 UR - https://doi.org/10.1038/s41598-026-58847-7 ER -
APA
Z, L., G, Y., M, L., Y, Z., F, D., Y, Z., X, L., Y, M., H, Z., & L, H. (2026). Optimizing subsurface carbon-energy synergy by balancing diffusion and convection via physics-informed Bayesian learning.. Scientific reports. https://doi.org/10.1038/s41598-026-58847-7
Source records
- pubmed · retrieved 2026-09-25T13:56:52.937Z